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Linking to Web Knowledge Bases and Applications to Web Search

Published: 07 November 2014 Publication History

Abstract

The development and availability of Web knowledge repositories, in particular Wikipedia, as the largest, inter-linked, and up-to-the-minute encyclopedic collection, have changed remarkably not only the way in which people fulfill their informational needs on the Web but also the way in which information can be organized and provided by Web search engines. The talk will focus on the task of entity extraction and linking to Wikipedia and other Web knowledge repositories. It will also cover work that employs such entity repositories in conjunction with query logs of commercial Web search engines to address Web information retrieval tasks such as context-aware search, query suggestion, question answering, retrieval of support for factual statements, and automatic aggregation of topic pages as an alternative to the ten blue links.

References

[1]
N. Balasubramanian and S. Cucerzan. Beyond Ranked Lists in Web Search: Aggregating Web Content into Topic Pages. International Journal of Semantic Computing, 4 (4), pages 509--534, 2010.
[2]
S. Cucerzan. TAC Entity Linking by Performing Full-document Entity Extraction and Disambiguation Text Analysis Conference, 2011.
[3]
S. Cucerzan. Name Entities Made Obvious: The Participation in the ERD 2014 Evaluation. SIGIR ERD Challenge, 2014.
[4]
C. W. Leong, and S. Cucerzan. Supporting Factual Statements with Evidence from the Web. CIKM, pages 1153--1162, 2012.
[5]
M. Rahurkar and S. Cucerzan. Predicting when Browsing Context Is Relevant to Search. SIGIR, pages 841--842, 2008.

Cited By

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  • (2015)Report on the Seventh Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'14)ACM SIGIR Forum10.1145/2795403.279541249:1(27-34)Online publication date: 23-Jun-2015

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cover image ACM Conferences
ESAIR '14: Proceedings of the 7th International Workshop on Exploiting Semantic Annotations in Information Retrieval
November 2014
52 pages
ISBN:9781450313650
DOI:10.1145/2663712
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: 07 November 2014

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Author Tags

  1. entity linking
  2. semantic search
  3. web search

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  • Keynote

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CIKM '14
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Acceptance Rates

ESAIR '14 Paper Acceptance Rate 11 of 15 submissions, 73%;
Overall Acceptance Rate 35 of 55 submissions, 64%

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Cited By

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  • (2015)Report on the Seventh Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'14)ACM SIGIR Forum10.1145/2795403.279541249:1(27-34)Online publication date: 23-Jun-2015

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