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

Published: 28 July 2013 Publication 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

[1]
S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. Ives. Dbpedia: A nucleus for a web of open data. The Semantic Web, pages 722--735, 2007.
[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.
[3]
V. Lopez, M. Pasin, and E. Motta. Aqualog: An ontology-portable question answering system for the semantic web. The Semantic Web: Research and Applications, pages 135--166, 2005.
[4]
G. Sacco and Y. Tzitzikas. Dynamic taxonomies and faceted search, volume 25. Springer, 2009.

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  • (2022)Connecting research on semantic enrichment of BIM - review of approaches, methods and possible applicationsJournal of Information Technology in Construction10.36680/j.itcon.2022.02027(416-440)Online publication date: 20-Apr-2022
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  1. X-ENS: semantic enrichment of web search results at real-time

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    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
    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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    Author Tags

    1. entity mining
    2. linked data
    3. semantic post processing of search results

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    SIGIR '13 Paper Acceptance Rate 73 of 366 submissions, 20%;
    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    • (2020)Faceted Search with Object Ranking and Answer Size ConstraintsACM Transactions on Information Systems10.1145/342560339:1(1-33)Online publication date: 16-Nov-2020
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