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X-ENS: semantic enrichment of web search results at real-time

Published:28 July 2013Publication History

ABSTRACT

While more and more semantic data are published on the Web, an important question is how typical web users can access and exploit this body of knowledge. Although, existing interaction paradigms in semantic search hide the complexity behind an easy-to-use interface, they have not managed to cover common search needs. In this paper, we present X-ENS (eXplore ENtities in Search), a web search application that enhances the classical, keyword-based, web searching with semantic information, as a means to combine the pros of both Semantic Web standards and common Web Searching. X-ENS identifies entities of interest in the snippets of the top search results which can be further exploited in a faceted interaction scheme, and thereby can help the user to limit the - often very large - search space to those hits that contain a particular piece of information. Moreover, X-ENS permits the exploration of the identified entities by exploiting semantic repositories.

References

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  2. A. Hogan, A. Harth, J. Umbrich, S. Kinsella, A. Polleres, and S. Decker. Searching and browsing linked data with SWSE: the semantic web search engine. Web Semantics: Science, Services and Agents on the World Wide Web, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  4. G. Sacco and Y. Tzitzikas. Dynamic taxonomies and faceted search, volume 25. Springer, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      SIGIR '13: Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
      July 2013
      1188 pages
      ISBN:9781450320344
      DOI:10.1145/2484028

      Copyright © 2013 Copyright is held by the owner/author(s)

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 28 July 2013

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      • demonstration

      Acceptance Rates

      SIGIR '13 Paper Acceptance Rate73of366submissions,20%Overall Acceptance Rate792of3,983submissions,20%

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