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Abstract:
In the wake of recent failures of risk management, there has been a widespread call for improved quantification of the financial risks facing firms. At the forefront of this clamor has been Value at Risk. Previous research has identified differences in models, or Model Risk, as an important impediment to developing a Value at Risk standard. By contrast, this paper considers the divergence in a model's implementation in software and how it too, affects the establishment of a risk measurement standard. Different leading risk management systems' vendors were given identical portfolios of instruments of varying complexity, and were asked to assess the value at risk according to one common model, J.P. Morgan's RiskMetrics. We analyzed the VaR results on a case by case basis, and in terms of prior expectations from the structure of financial instruments in the portfolio, as well as prior vendor expectations about the relative complexity of different asset classes. It follows that this research indicates the extent to which one particular model of risk can be effectively specified in advance, independent of the model's detailed implementation and use in practice.

Abstract:
In this paper we examine the opportunities for data integration in the context of the emerging Web Services systems development paradigm. The paper introduces the programming standards associated with Web Services and provides an example of how Web Services can be used to unlock heterogeneous business systems to extract and integrate business data. We provide an introduction to the problems and research issues encountered when applying Web Services to data integration. We provide a formal definition of aggregation (as a type of data integration) and discuss the impact of Web Services on aggregation. We show that Web Services will make the development of systems for aggregation both faster and less expensive to develop. A system architecture for Web Services based aggregation is presented that is representative of products available from software vendors today. Finally, we highlight some of the challenges facing Web Services that are not currently being addressed by standards bodies or software vendors. These include context mediation, trusted intermediaries, quality and source selection, licensing and payment mechanisms, and systems development tools. We suggest some research directions for each of these challenges.

Data Integration, Web Services Systems Development

Abstract:
The successful adoption of Financial Account Aggregation requires a careful analysis of the business model. The business model must be defined in a way that provides value to both customers and financial institutions. This paper identifies business models for adoption of Account Aggregation technology; proposes a method for calculating the return on investment related to the adoption of this technology; and applies the proposed method to estimate this return for various business models. The results show how the return on investment is affected by parameters such as initial investment, customer acquisition and retention cost and product and service cross-selling. This analysis is applicable to financial and nonfinancial institutions considering Account Aggregation or other new online account applications.

Online Banking, Financial Account Aggregation, Web Aggregator, Financial Accounts

Abstract:
The convergence of three distinct but interconnected trends - unrelenting globalization, growing worldwide electronic connectivity, and increasing knowledge intensity of economic activity - is creating powerful new opportunities and challenges for global politics. This rapidly changing environment has information demands that surpass existing capabilities for information access, interpretation, and overall use, thus hindering our abilities to address emergent and complex global challenges, such as terrorism and other security threats. This reality has serious implications for two diverse domains of scholarship: international relations (IR) in political science and information technology (IT). Unless IT advances remain "one step ahead" of emergent realities and complexities, strategies for better understanding and responding to critical global challenges will be severely impeded. For example, more so now than ever, the U.S. Office of Counter-Terrorism and the newly-created Office of Homeland Security rely on intelligence information from all over the world to develop strategic responses to security threats. However, relevant information is stored in various regions throughout the world and by diverse agencies in different media, formats, and contexts. Intelligent integration of information is fundamental to developing policies to anticipate and strengthen protection against terrorist threats or attacks in the United States.

This Project's activities, and relationships with its collaborators, will be coordinated through a newly formed joint Laboratory for Information Globalization and Harmonization Technologies (LIGHT). LIGHT will address information needs in the IR domain, focusing on the conflict realm, which deals with emergent risks, threats, and uncertainties of potentially global scale and scope related to: (a) crises, (b) conflicts and war; and (c) anticipation, monitoring and early warning. The goals of this initiative are to: (1) improve understanding of the types of IR information needs for decision making and institutional performance under varying degrees of risk and uncertainty; (2) design and implement the System for Harmonized Information Processing, to facilitate access to and correct interpretation of essential information that is critical to policy and research in the IR realm, as well as to other similarly complex domains, and (3) advance developments in the use of information technologies to facilitate such interdisciplinary research and to contribute to new education approaches, tools, and methods. Increasingly, addressing problems central to national and global interests in complex domains such as IR requires the use of technologies that easily combine observations from disparate sources, using different interpretations, for different purposes, and by a wide range of users. Critical advances in IT capabilities must span multiple domains (e.g., economic, political, geographic, commercial, and demographic), diverse contexts (i.e., meanings, languages, assumptions), and a multiplicity of contending agents (i.e., states, governments, corporations, international institutions). The technology-related research will focus on acquiring and enhancing information to serve user requirements both over individual domains (i.e., a single shared ontology) and across multiple domains, which are necessary for addressing complex challenges. The core innovation is reflected in the notion of a Collaborative Domain Space (CDS), within which applications in a common domain can share, analyze, modify, and develop information. For applications that span multiple domains we provide for a Collection of CDSs to link shared concepts in distinct domains. Moreover, we will develop the System for Harmonized Information Processing that incorporates CDSs as a basis for knowledge representation and includes all the necessary reasoning algorithms required to support information processing over a range of heterogeneous sources and applications.

The development of the system described above builds upon prior work. The political science IR work will draw on an earlier Internet-based experimental "platform" for exploring forms of information generation, provision, and integration across multiple domains, regions, languages, and epistemologies which are relevant to complex but domain-specific applications, the Global System for Sustainable Development (GSSD). The IT component builds on work on the Context Interchange project (COIN) focused on the integration of a range of distributed heterogeneous information sources (e.g., financial, supply chain, disaster relief) using ontologies, databases, context mediation algorithms, and wrapper technologies. Both groups have considerable experience with the organization and management of large scale, international, distributed, and diverse research projects, including cross-national (e.g., China, Middle East, Europe) and institutional (private, public, national and international) agencies.

The anticipated results will apply to any complex domain with multiple entities that rely on heterogeneous distributed data to address and resolve compelling problems. This initiative is supported by a network of international collaborators from (a) scientific and research institutions, (b) business and industry, and (c) national and international agencies. Expected research products include: a software platform, IR-based knowledge repository, and diverse applications in policy, research, and education which are anticipated to significantly impact the way complex organizations, and society in general, understand and manage critical global challenges.

Abstract:
Many financial institutions have built websites to inform and attract customers. Financial aggregation present an opportunity by which they can build stronger relationships with customers. For example, financial account aggregation services began in the United States but are now widely used by in other countries. In this paper, we first classify aggregator types and their method for implementing their service. Second, we explain the differences between financial account relationship aggregation services in the U.S. and in Asia-Pacific countries. We then discuss the status of financial comparison aggregation services and related issues. Owing to the popularity of WAP phones and mobile phone service in Asia-Pacific, we will also look into the development of mobile aggregation services. Finally, we examine future directions for aggregators in conjunction with universal and global banking concepts.

Financial Institution, Aggregation Service, Universal Banking, Global Banking

Abstract:
With the rapid diffusion of the Internet worldwide, there has been considerable interest in the e-potentials of developing countries giving rise to a 1st generation of e-Readiness studies. Moreover, e-Readiness means different things to different people, in different contexts, and for different purposes. Despite strong merits, this first generation of e-Readiness studies assumed a fixed, one-size-fits-all set of requirements, regardless of the characteristics of individual countries, the investment context, or the demands of specific applications. This feature obscures critical information for investors or policy analysts seeking to reduce uncertainties and/or make more educated decisions. But there is very little known about e-Readiness for e-Banking. In particular, based on lessons learnt to date and their implications for emerging realities of the 21st century, we designed and executed a research project with theoretical as well as practical dimensions to answer the question of e-Readiness for What, focusing specifically on e-Banking, based on the very assumption that one size can seldom, if ever, fit all. We propose and develop a conceptual framework for the "next generation" ereadiness - focusing on different e-Business applications in different economic contexts with potentially different pathways - as well as a data model - to explore e-Readiness for e-Banking in ten countries.

e-readiness assessment, value-creation opportunities, e-Banking, banking, pathways, profiles, leapfrogging

Abstract:
This paper examines the opportunities and challenges related to data and process integration architectures in the context of Web Services. A primary goal of most enterprises in today's economic environment is to improve productivity by streamlining and aggregating business processes. This paper illustrates how integration architectures based on Web Services offer new opportunities to improve productivity that are expedient and economical. First, the paper introduces the technical standards associated with Web Services and provides business example for illustration. Abstracting from this example, we introduce a concept we call Process Aggregation that incorporates data aggregation and workflow to improve productivity. We show that Web Services will have a major impact on Process Aggregation, making it both faster and less expensive to implement. Finally, we suggest some research directions relating to the Process Aggregation challenges facing Web Services that are not currently being addressed by standards bodies or software vendors. These include context mediation, trusted intermediaries, quality and source selection, licensing and payment mechanisms, and systems development tools.

Process Aggregation, Web Services, Data Aggregation, Streamlining, Business Process

Abstract:
This paper examines the development of web aggregators, entities that collect information from a wide range of sources, with or without prior arrangements, and add value through post-aggregation services. New Web-page extraction tools, context sensitive mediators, and agent technologies have greatly reduced the barriers to constructing aggregators. We predict that aggregators will soon emerge in industries where they were not formerly present. Through studying over a hundred existing and emerging aggregators, we present a model for understanding the aggregator's strategic interaction with existing organizations. We also suggest different ways that businesses can take advantage of the new opportunities presented. Finally, we provide valuable insights to all organizations concerning the issues, impacts, and actions required as aggregators become increasingly present.

Abstract:
The potential loss of state stability in various parts of the world is a source of threat to U.S. national security. Every case is unique, but there are common processes. Accordingly, we develop a system dynamics model of state stability by representing the nature and dynamics of 'loads' generated by insurgency activities, on the one hand, and by articulating the core features of state resilience and its 'capacity' to withstand these 'loads', on the other. The problem is to determine and 'predict' when threats to stability override the resilience of the state and, more important, to anticipate propensities for 'tipping points', namely conditions under which small changes in anti-regime activity can generate major disruptions. On this basis, we then identify appropriate actionable mitigation factors to decrease the likelihood of 'tipping' and enhance prospects for stability.

national security, state stability, system dynamics

Abstract:
We use a context interchange mediation approach for detecting and resolving data quality and semantic integrity conflicts in information exchanged across organizational boundaries. Context models draw on a domain ontology to explain how source and receiver data models implement general principles of the subject domain. Using the declarative knowledge from the domain ontology and context models, the mediator writes a query plan meeting receiver semantic requirements from autonomous, heterogeneous sources. Examples drawn from fixed income securities investments illustrate problems and solutions enabled by context interchange mediation.

Abstract:
In its Preface, The 9/11 Commission Report states: We learned that the institutions charted with protecting ... national security did not understand how grave this threat can be, and did not adjust their policies, plans, and practices to deter or defeat it (2004: xvi). Given current realities and uncertainties better preparedness can be achieved by identifying, controlling and managing the elusive linkages & situational factors that fuel hostilities. This paper focuses on new opportunities and capabilities provided by anticipatory technologies that help understand, measure and model the complex dynamics shaping and precipitating conflict in specific settings worldwide. We introduce a research initiative focusing on linking pre- and post- conflict by drawing upon the power of system dynamics, augmented by new technologies for integrated information analysis, in conjunction with the development of conceptual and computational ontologies capturing the diversity, intensity, and dynamics of the conflict domain.

national security, system dynamics, integrated information analysis, conceptual and computational ontologies

Abstract:
We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity. Receiver applications obtain the data they need in the form they need it without imposing changes on sources. The KR architecture includes: 1) data models for each source and receiver, 2) subject domain ontologies, containing abstract subject matter conceptualizations that would be known to experienced practitioners in the industry, and 3) context models for each source and receiver that explain how each source or receiver data model implements the abstract concepts from a subject domain ontology. Examples drawn from the fixed income securities industry illustrate problems and solutions
enabled by the proposed architecture.

Abstract:
The world can be complex and dangerous - the loss of state stability of countries is of increasing concern. Although every case is unique, there are important common processes. We have developed a system dynamics model of state stability based on an extensive review of the literature and debriefings of subject matter experts. We represent the nature and dynamics of the 'loads' generated by insurgency activities, on the one hand, and the core features of state resilience and its 'capacity' to withstand these 'loads', on the other. The challenge is to determine when threats to stability override the resilience of the state and, more important, to anticipate conditions under which small additional changes in anti-regime activity can generate major disruptions. With these insights, we can identify appropriate and actionable mitigation factors to decrease the likelihood of radical shifts in behavior and enhance prospects for stability.

model, system dynamics, state stability, terrorists, insurgency, regime legitimacy

Abstract:
A recent National Research Council study found that: "Although there are many private and public databases that contain information potentially relevant to counter terrorism programs, they lack the necessary context definitions (i.e., metadata) and access tools to enable interoperation with other databases and the extraction of meaningful and timely information" [NRC02, p.304, emphasis added] That sentence succinctly describes the objectives of this project. Improved access and use of information are essential to better identify and anticipate threats, protect against and respond to threats, and enhance national and homeland security (NHS), as well as other national priority areas, such as Economic Prosperity and a Vibrant Civil Society (ECS) and Advances in Science and Engineering (ASE). This project focuses on the creation and contributions of a Laboratory for Information Globalization and Harmonization Technologies (LIGHT) with two interrelated goals:

(1) Theory and Technologies: To research, design, develop, test, and implement theory and technologies for improving the reliability, quality, and responsiveness of automated mechanisms for reasoning and resolving semantic differences that hinder the rapid and effective integration (int) of systems and data (dmc) across multiple autonomous sources, and the use of that information by public and private agencies involved in national and homeland security and the other national priority areas involving complex and interdependent social systems (soc).

This work builds on our research on the COntext INterchange (COIN) project, which focused on the integration of diverse distributed heterogeneous information sources using ontologies, databases, context mediation algorithms, and wrapper technologies to overcome information representational conflicts. The COIN approach makes it substantially easier and more transparent for individual receivers (e.g., applications, users) to access and exploit distributed sources. Receivers specify their desired context to reduce ambiguities in the interpretation of information coming from heterogeneous sources. This approach significantly reduces the overhead involved in the integration of multiple sources, improves data quality, increases the speed of integration, and simplifies maintenance in an environment of changing source and receiver context - which will lead to an effective and novel distributed information grid infrastructure. This research also builds on our Global System for Sustainable Development (GSSD), an Internet platform for information generation, provision, and integration of multiple domains, regions, languages, and epistemologies relevant to international relations and national security.

(2) National Priority Studies: To experiment with and test the developed theory and technologies on practical problems of data integration in national priority areas. Particular focus will be on national and homeland security, including data sources about conflict and war, modes of instability and threat, international and regional demographic, economic, and military statistics, money flows, and contextualizing terrorism defense and response.

Although LIGHT will leverage the results of our successful prior research projects, this will be the first research effort to simultaneously and effectively address ontological and temporal information conflicts as well as dramatically enhance information quality. Addressing problems of national priorities in such rapidly changing complex environments requires extraction of observations from disparate sources, using different interpretations, at different points in times, for different purposes, with different biases, and for a wide range of different uses and users. This research will focus on integrating information both over individual domains and across multiple domains. Another innovation is the concept and implementation of Collaborative Domain Spaces (CDS), within which applications in a common domain can share, analyze, modify, and develop information. Applications also can span multiple domains via Linked CDSs. The PIs have considerable experience with these research areas and the organization and management of such large scale international and diverse research projects.

The PIs come from three different Schools at MIT: Management, Engineering, and Humanities, Arts & Social Sciences. The faculty and graduate students come from about a dozen nationalities and diverse ethnic, racial, and religious backgrounds. The currently identified external collaborators come from over 20 different organizations and many different countries, industrial as well as developing. Specific efforts are proposed to engage even more women, underrepresented minorities, and persons with disabilities.

The anticipated results apply to any complex domain that relies on heterogeneous distributed data to address and resolve compelling problems. This initiative is supported by international collaborators from (a) scientific and research institutions, (b) business and industry, and (c) national and international agencies. Research products include: a System for Harmonized Information Processing (SHIP), a software platform, and diverse applications in research and education which are anticipated to significantly impact the way complex organizations, and society in general, understand and manage critical challenges in NHS, ECS, and ASE.

Homeland Security, Information Globalization and Harmonization Technologies

Abstract:
Web aggregation has been available regionally for several years, but this service has not been offered globally. As an example, using multiple regional comparison aggregators, we analyze the global prices for a Sony camcorder, which differ by more than three times. We further explain that lack of global comparison
aggregation services partially contribute to such huge price dispersion. We also discuss difficulties encountered in the manual integration of global web sources. Motivated by this example, we propose a context mediation architecture for global aggregation to address semantic disparities of global information sources. Global aggregation services can bring efficiency to the global market and can be useful for market research and other business uses.

Web Aggregation, Context, Semantic Integration

Abstract:
We examine semantic interoperability problems in the fixed income securities industry and propose a knowledge representation architecture for context interchange mediation to support dynamic integration of autonomous database, web, and procedural sources of information. For sources and receivers sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity. Receiver applications can obtain the data they need in the form they need it without imposing changes on sources. The architecture includes: 1) data models for each source and receiver, 2) subject ontologies, containing abstract subject matter conceptualizations that would be known to experienced practitioners in the industry, and 3) context models for each source and receiver that explain how each data model implements the abstract concepts from a subject ontology.

Semantic Interoperability Problems, Fixed Income Securities, Context Interchange Mediation

Abstract:
We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator's reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity. Receiver applications obtain the data they need in the form they need it without imposing changes on sources. The KR architecture includes: 1) data models for each source and receiver, 2) subject domain ontologies, containing abstract subject matter conceptualizations that would be known to experienced practitioners in the industry, and 3) context models for each source and receiver that explain how each source or receiver data model implements the abstract concepts from a subject domain ontology. Examples drawn from the fixed income securities industry illustrate problems and solutions enabled by the proposed architecture.

Knowledge Representation Architecture, Context Interchange Mediation

Abstract:
The development of web technology has led to the emergence of web aggregation, a service that collects existing web data and turns them into more useful information. We review the development of both comparison and relationship aggregation and discuss their impacts on various stakeholders. The aggregator's capability of transparently extracting web data has raised challenging issues in database and privacy protection. Consequently, new regulations are introduced or being proposed. We analyze the interactions between aggregation and related policies and provide our insights about the implications of new policies on the development of web aggregation.

International IP Law, Privacy Law, Web Aggregation

Abstract:
In its Preface, The 9/11 Commission Report states: We learned that the institutions charted with protecting . . . national security did not understand how grave this threat can be, and did not adjust their policies, plans, and practices to deter or defeat it (2004: xvi). Given current realities and uncertainties better preparedness can be achieved by identifying, controlling and managing the elusive linkages and situational factors that impact state stability and fuel state decay and destruction - and hence create new threats to the nation's security.

We propose to focus on the use of system dynamics modeling techniques to help understand, measure and model the complex dynamics shaping state stability, initially for two regions. We will specifically consider the impacts of unanticipated disruptions, such as a tsunami and its aftermath, on the dynamics of the two regions. For each region, we will deliver a detailed country model, including 3-5 futures predictions in the 6-12 month range along with an analysis of conditions and casual links between predicted futures plus corresponding mitigated options.

system dynamics, state stability

Abstract:
There is pressing need for effectively integrating information from an ever increasing number of available sources both on the web and in other existing systems. A key difficulty of achieving this goal comes from the pervasive heterogeneities in all levels of information systems. Existing and emerging technologies, such as the Web, ODBC, XML, and Web Services, provide essential capabilities in resolving heterogeneities in the hardware and software platforms, but they do not address the semantic heterogeneity of the data itself. A robust solution to this problem needs to be adaptable, extensible, and scalable.

In this paper, we identify the deficiencies of traditional approaches that address this problem using hand-coded programs or require complete data standardization. The COntext INterchange (COIN) approach overcomes these deficiencies by declaratively representing data semantics and using a mediator to create the necessary conversion programs using a small number of conversion rules. The capabilities of COIN is demonstrated using an intelligence information integration example consisting of 150 data sources, where COIN can automatically generate the over 22,000 conversion programs needed to enable semantic integration using only six parametizable conversion rules. This paper makes a unique contribution by providing a systematic evaluation of COIN and other commonly practiced approaches.

semantic integration, adaptability, extensibility, scalability, context

Abstract:
In this report, we demonstrate the applicability and value of the context mediation approach in facilitating the effective and correct use of counter-terrorism intelligence information coming from diverse heterogeneous sources.

Context Mediation, Counter-Terrorism Intelligence

Abstract:
In this paper we redefine information security by extending its definition in three salient avenues: locale (beyond the boundary of an enterprise to include partner organizations), role (beyond the information custodians' view to include information consumers' and managers' views), and resource (beyond technical dimensions to include managerial dimensions). Based on our definition, we develop a model of information security, which we call the House of Security. This model has eight constructs, Vulnerability, Accessibility, Confidentiality, IT Resources for Security, Financial Resources for Security, Business Strategy for Security, Security Policy and Procedures, and Security Culture. We have developed a questionnaire to measure the assessment and importance of information security along these eight aspects. The questionnaire covers multiple locales and questionnaire respondents cover multiple roles. Data collection is currently in process. Results from our analysis of the collected data will be ready for presentation at the conference.

Information security, Security vulnerabilities, Information confidentiality, Security policy, Security procedures, Security culture

Abstract:
The National Research Council has noted that although there are many private and public databases that contain information potentially relevant to counterterrorism programs, they lack the necessary context definitions (i.e., metadata) and access tools to enable interoperation with other databases and the extraction of meaningful and timely information. In this paper we present examples of these problems and a technology developed at MIT, called context mediation, which provides a novel approach for addressing these problems.

context mediation, heterogeneous contexts

Abstract:
Using securities industry examples, the context interchange mediation knowledge architecture is applied to interoperability problems for enumerated data types, such as codes and other symbols used to represent conceptual distinctions. Ongoing efforts in the securities industry to develop new XML-based standards for information interchange are examined. Using components representing similar securities information, drawn from different but complementary securities standards and
sources, example problems of information interoperability are examined. We show that transforming data representation into an autonomously specified context model and thence into a general domain ontology allows successful interoperability in several ways depending on how each context is explained to the mediator.

Semantic Interoperability, Securities, Semantic Differences, Data Types, XML, Enumerated Data Types

Abstract:
With the increasing use of the Internet, many of us feel strongly about the free and unfettered exchange and use of information. But the actual situation is not that simple. After the European Union adopted the Database Directive to provide legal protection for non-copyrightable database contents, the U.S. has introduced six legislative proposals, all of which failed to become a law. One of the major difficulties of formulating a socially beneficial database law is in finding the right balance between protecting the incentives of creating publicly accessible databases (including semi-structured web sites) and preserving adequate access to factual data for value creating activities. We address the problem by developing an extended spatial competition model that explicitly considers the inefficiencies in policy administration. With the model, we can determine various conditions and the corresponding socially beneficial policy choices. The results show that, depending on the cost level of database creation, the degree of differentiation of the reuser database, and the efficiency of policy administration, the socially beneficial policy choice can be protecting a legal monopoly, encouraging competition via compulsory licensing, discouraging voluntary licensing, or even allowing free riding. The results provide useful insights to the formulation of a socially beneficial database protection policy.

database protection, data reuse, policy, intellectual property

Abstract:
The change in meaning of data over time poses significant challenges for the use of that data. These challenges exist in the use of an individual data source and are further compounded with the integration of multiple sources. In this paper, we identify three types of temporal semantic heterogeneities, which have not been addressed by existing research. We propose a solution that is based on extensions to the Context Interchange framework. This approach provides mechanisms for capturing semantics using ontology and temporal context. It also provides a mediation service that automatically resolves semantic conflicts. We show the feasibility of this approach by demonstrating a prototype that implements a subset of the proposed extensions.

Context Interchange framework, ontology and temporal context

Abstract:
Sell Globally and Shop Globally have been seen as a potential benefit of web-enabled electronic business. One important step toward realizing this benefit is to know how things are selling in various parts of the world. A global price comparison service would address this need. But there have not been many such services. In this paper, we use a case study of global price dispersion to illustrate the need and the value of a global price comparison service. Then we identify and discuss several technology challenges including semantic heterogeneity, in providing a global price comparison service. We propose a mediation architecture to address the semantic heterogeneity problem, and demonstrate the feasibility of the proposed architecture by implementing a prototype that enables global price comparison using data from web sources in several countries.

Global Price Comparison, Shopbots, Context, Semantic Data

Abstract:
Three important trends - unrelenting globalization, growing worldwide electronic connectivity, and increasing knowledge intensity of economic activity - are creating new opportunities for global politics, with challenging demands for information access, interpretation, provision and overall use. This has serious implications for two diverse domains of scholarship: Information Technology (IT) and International Relations (IR) in political science. Unless IT advances remain "one step ahead" of such realities and complexities, strategies for better understanding and responding to emergent global challenges will be severely impeded. For example, the new Department of Homeland Security will rely on intelligence information from all over the world to develop strategic responses to a wide range of security threats. However, relevant information is stored throughout the world and by diverse agencies and in different media, formats, quality, and contexts. Intelligent integration of that information and improved modes of access and use are critical to developing policies designed to identify and anticipate sources of threat, to strengthen protection against threats on the United States, and to enhance the security of the nation.

Abstract:
In this paper we introduce a methodology for analyzing differences regarding security perceptions within and between stakeholders, and the elements which affect these perceptions. We have designed the "House of Security", a security assessment model that provides the basic framework for considering eight different constructs of security:

Vulnerability, Accessibility, Confidentiality, Technology Resources for Security, Financial Resources for Security, Business Strategy for Security, Security Policy and Procedures, and Security Culture.

We designed and performed a survey of about 1500 professionals in various industries, levels, and functions resulting in a gap analysis to uncover differences (1) between the different constructs and aspects of security, (2) between different enterprise stakeholder roles, and (3) between different organizations. This paper briefly describes the development of the security constructs and some of the preliminary findings.

Security Assessment, Business Strategy for Security, Security Policy

Abstract:
In the aftermath of the 9/11 tragedy it has became clear that the lack of effective information exchange among government agencies hindered the capability of identifying potential threats and preventing terrorism actions. It has been noted by the National Research Council that Although there are many private and public databases that contain information potentially relevant to counterterrorism programs, they lack the necessary context definitions (i.e., metadata) and access tools to enable interoperation with other databases and the extraction of meaningful and timely information1. This report clearly recognized the important problem that the semantic data integration research community has been studying. In this chapter, we describe the Laboratory for Information Globalization and Harmonization Technologies (LIGHT) developed at MIT. LIGHT arises from previous research, most notably the COntext INterchange (COIN) context mediation technology and the Global System for Sustainable Development (GSSD). Context Mediation technology addresses the above problem and deals directly with the integration of heterogeneous contexts (i.e. data meaning) in a flexible, scalable and extensible environment. This approach makes it easier and more transparent for receivers (e.g., applications, sensors, users) to exploit distributed sources (e.g., databases, web, information repositories, sensors). In this paper we define context as the assumptions of the source and receiver that affect correct interpretation of the meaning of the information. Receivers are able to specify their desired context so that there will be no uncertainty in the interpretation of the information coming from heterogeneous sources. The COIN context knowledge representation approach and associated reasoning tools significantly reduce the overhead involved in the integration of multiple sources and simplifies maintenance in an environment of changing source and receiver context. This technology is essential in the counter-terrorism environment in a number of areas including: (1) allowing for receivers (i.e., applications, analysts) to have multiple views of the same data (e.g., different semantic assumptions - two analysts may have a different meaning for Soviet Union depending on the application), (2) allowing for the collection of information into a single data warehouse, and (3) use in a dynamic federated environment where applications may have changing contexts and sources are added and removed from the grid. This approach is essential to the agile integration of information to support counter terrorism.

Homeland Security, Context Knowledge Representation, Reasoning Technologies

Abstract:
Changes of semantics in data sources further complicate the semantic heterogeneity problem. We identify four types of semantic heterogeneities related to changing semantics and present a solution based on an extension to the Context Interchange (COIN) framework. Changing semantics is represented as multi-valued contextual attributes in a shared ontology; however, only a single value is valid over a certain time interval. A mediator, implemented in abductive constraint logic programming, processes the semantics by solving temporal constraints for single-valued time intervals and automatically applying conversions to resolve semantic differences over these intervals. We also discuss the scalability of the approach and its applicability to the Semantic Web.

semantic heterogeneity problem, Context Interchange (COIN) framework

Abstract:
The underlying assumptions for interpreting the meaning of data often change over time, which further complicates the problem of semantic heterogeneities among autonomous data sources. As an extension to the Context Interchange (COIN) framework, this paper introduces the notion of temporal context as a formalization of the problem. We represent temporal context as a multi-valued method in F-Logic; however, only one value is valid at any point in time, the determination of which is constrained by temporal relations. This representation is then mapped to an abductive constraint logic programming framework with temporal relations being treated as constraints. A mediation engine that implements the framework automatically detects and reconciles semantic differences at different times. We articulate that this extended COIN framework is suitable for reasoning on the Semantic Web.

Context Interchange (COIN) framework, temporal context, Semantic Web

Abstract:
Technological advances such as Service Oriented Architecture (SOA) have increased the feasibility and importance of effectively integrating information from an ever widening number of systems within and across enterprises. A key difficulty of achieving this goal comes from the pervasive heterogeneity in all levels of information systems. A robust solution to this problem needs to be adaptable, extensible, and scalable. In this paper, we identify the deficiencies of traditional semantic integration approaches. The COntext INterchange (COIN) approach overcomes these deficiencies by declaratively representing data semantics and using a mediator to create the necessary conversion programs from a small number of conversion rules. The capabilities of COIN is demonstrated using an example with 150 data sources, where COIN can automatically generate the over 22,000 conversion programs needed to enable semantic interoperability using only six parametizable conversion rules. This paper presents a framework for evaluating adaptability, extensibility, and scalability of semantic integration approaches. The application of the framework is demonstrated with a systematic evaluation of COIN and other commonly practiced approaches.

service oriented architecture, Context Interchange

Abstract:
Mappings in most federated databases are conceptualized and implemented as black-box transformations between source schemas and a federated schema. This approach does not allow specific mappings to be declared once and reused in other situations. We present an alternative approach, in which data-level mappings are represented independent of source and federated schemas as a network between “contexts”. This compendious representation expedites the data federation process via mapping reuse and automated mapping composition from simpler mappings. We illustrate the benefits of mapping reuse and composition by using an example that incorporates equational mappings and the application of symbolic equation solving techniques.

Federated DBs, Logic programming, Heterogeneous information, Mediators and Wrappers

Abstract:
This article investigates the relationship between alcohol advertising in magazines and youth readership, while controlling for a set of magazine and readership variables related to the demand for advertising space. It reconstructs and reanalyzes a data set including count data for alcohol ads placed in 28 magazines in 2001-2003 that was the basis for a previous study, which concluded that alcohol advertisers do not target youths. We address the problem of collinearity in that data set and add an explanatory variable to explicitly model the hypothesis that alcohol advertising is preferentially directed to a young adult audience. We find that the number of alcohol advertisements in magazines increases significantly with the proportion of youth readers, even after controlling for young adult readership. Our results indicate that youths are disproportionately exposed to alcohol advertising and that reducing youth exposure to alcohol advertising remains an important public policy concern.

Abstract:
In this paper we describe a prototype implementation of the Context Interchange Network (CIN). The prototype is described in terms of a financial application. The CIN is designed to provide for the intelligent integration of contextually (i.e., semantically) heterogeneous data. The system uses explicit context knowledge representation and a context mediator to automatically detect conflicts and resolve them through context conversion. The network also allows for context explication; making it possible for a receiver of data to understand meaning of the information represented by the source data.