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Searching and Browsing Linked Data with SWSE: The Semantic Web Search Engine

55 Pages Posted: 22 Jun 2018 First Look: Accepted

See all articles by Aidan Hogan

Aidan Hogan

National University of Ireland, Galway (NUIG) - Digital Enterprise Research Institute (DERI)

Andreas Harth

Karlsruhe Institute of Technology - Institute of Applied Informatics and Formal Description Methods (AIFB)

Jürgen Umbrich

National University of Ireland, Galway (NUIG) - Digital Enterprise Research Institute (DERI)

Sheila Kinsella

National University of Ireland, Galway (NUIG) - Digital Enterprise Research Institute (DERI)

Axel Polleres

National University of Ireland, Galway (NUIG) - Digital Enterprise Research Institute (DERI)

Stefan Decker

National University of Ireland, Galway (NUIG) - Digital Enterprise Research Institute (DERI)

Abstract

In this paper, we discuss the architecture and implementation of the Semantic Web Search Engine (SWSE). Following traditional search engine architecture, SWSE consists of crawling, data enhancing, indexing and a user interface for search, browsing and retrieval of information; unlike traditional search engines, SWSE operates over RDF Web data -- loosely also known as Linked Data -- which implies unique challenges for the system design, architecture, algorithms, implementation and user interface. In particular, many challenges exist in adopting Semantic Web technologies for Web data: the unique challenges of the Web -- in terms of scale, unreliability, inconsistency and noise -- are largely overlooked by the current Semantic Web standards. Herein, we describe the current SWSE system, initially detailing the architecture and later elaborating upon the function, design, implementation and performance of each individual component. In so doing, we also give an insight into how current Semantic Web standards can be tailored, in a besteffort manner, for use on Web data. Throughout, we offer evaluation and complementary argumentation to support our design choices, and also offer discussion on future directions and open research questions. Later, we also provide candid discussion relating to the difficulties currently faced in bringing such a search engine into the mainstream, and lessons learnt from roughly six years working on the Semantic Web Search Engine project.

Keywords: web search, semantic search, RDF, semantic web, linked data

Suggested Citation

Hogan, Aidan and Harth, Andreas and Umbrich, Jürgen and Kinsella, Sheila and Polleres, Axel and Decker, Stefan, Searching and Browsing Linked Data with SWSE: The Semantic Web Search Engine (2011). Journal of Web Semantics First Look. Available at SSRN: https://ssrn.com/abstract=3199532 or http://dx.doi.org/10.2139/ssrn.3199532

Aidan Hogan (Contact Author)

National University of Ireland, Galway (NUIG) - Digital Enterprise Research Institute (DERI) ( email )

University Road
Galway, Co. Kildare
Ireland

Andreas Harth

Karlsruhe Institute of Technology - Institute of Applied Informatics and Formal Description Methods (AIFB) ( email )

Kaiserstraße 12
Karlsruhe, Baden Württemberg 76131
Germany

Jürgen Umbrich

National University of Ireland, Galway (NUIG) - Digital Enterprise Research Institute (DERI) ( email )

University Road
Galway, Co. Kildare
Ireland

Sheila Kinsella

National University of Ireland, Galway (NUIG) - Digital Enterprise Research Institute (DERI) ( email )

University Road
Galway, Co. Kildare
Ireland

Axel Polleres

National University of Ireland, Galway (NUIG) - Digital Enterprise Research Institute (DERI) ( email )

University Road
Galway, Co. Kildare
Ireland

Stefan Decker

National University of Ireland, Galway (NUIG) - Digital Enterprise Research Institute (DERI) ( email )

University Road
Galway, Co. Kildare
Ireland

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