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Mapping Queries to the Linking Open Data Cloud: A Case Study Using DBpedia

36 Pages Posted: 3 Jul 2018 Publication Status: Accepted

See all articles by Edgar Meij

Edgar Meij

University of Amsterdam - Intelligent Systems Laboratory Amsterdam (ISLA)

Marc Bron

University of Amsterdam - Intelligent Systems Laboratory Amsterdam (ISLA)

Laura Hollink

Delft University of Technology - Web Information Systems

Bouke Huurnink

University of Amsterdam - Intelligent Systems Laboratory Amsterdam (ISLA)

Maarten de Rijke

University of Amsterdam - Intelligent Systems Laboratory Amsterdam (ISLA)

Abstract

We introduce the task of mapping search engine queries to DBpedia, a major linking hub in the Linking Open Data cloud. We propose and compare various methods for addressing this task, using a mixture of information retrieval and machine learning techniques. Specifically, we present a supervised machine learning-based method to determine which concepts are intended by user issuing a query. The concepts are obtained from an ontology and may be used to provide contextual information, related concepts, or navigational suggestions to the user submitting the query. Our approach first ranks candidate concepts using a language modeling for information retrieval framework. We then extract query, concept, and search-history feature vectors for these concepts. Using manual annotations, we inform a machine learning algorithm that learns how to select concepts from the candidates given an input query. Simply performing a lexical match between the queries and concepts is found to perform poorly and so does using retrieval alone, i.e., omitting the concept selection stage. Our proposed method significantly improves upon these baselines and we find that support vector machines are able to achieve the best performance out of the machine learning algorithms evaluated.

Keywords: semantic query analysis, linking open data, machine learning, information retrieval

Suggested Citation

Meij, Edgar and Bron, Marc and Hollink, Laura and Huurnink, Bouke and de Rijke, Maarten, Mapping Queries to the Linking Open Data Cloud: A Case Study Using DBpedia (2011). Journal of Web Semantics First Look 9_4_5, Available at SSRN: https://ssrn.com/abstract=3199534 or http://dx.doi.org/10.2139/ssrn.3199534

Edgar Meij (Contact Author)

University of Amsterdam - Intelligent Systems Laboratory Amsterdam (ISLA) ( email )

Science Park 107
Amsterdam, 1098 XH
Netherlands

Marc Bron

University of Amsterdam - Intelligent Systems Laboratory Amsterdam (ISLA) ( email )

Science Park 107
Amsterdam, 1098 XH
Netherlands

Laura Hollink

Delft University of Technology - Web Information Systems ( email )

Stevinweg 1
Delft
Netherlands

Bouke Huurnink

University of Amsterdam - Intelligent Systems Laboratory Amsterdam (ISLA) ( email )

Science Park 107
Amsterdam, 1098 XH
Netherlands

Maarten De Rijke

University of Amsterdam - Intelligent Systems Laboratory Amsterdam (ISLA) ( email )

Science Park 107
Amsterdam, 1098 XH
Netherlands

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