Taxonomy-based query-dependent schemes for profile similarity measurement

Suppawong Tuarob, Prasenjit Mitra, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Semantic search techniques have increasingly gained attention in information retrieval literature. Authors are great sources of semantic interpretation for documents, especially in scholarly domains where articles mostly reflect the research interests of the authors. Being able to interpret semantic meanings of documents from their authors would give rise to many interesting applications, especially in academic digital library literature. In this paper, we present taxonomy-based query-dependent schemes for computing author profile similarity. Our schemes have the capability to capture partial similarities, as opposed to traditional topic overlap based approaches. We generalize our schemes so that they can be easily adopted to other application domains. We acquire resources from multiple places such as Wikipedia, CiteseerX, ArnetMiner, and WikipediaMiner as part of our work. We provide encouraging anecdotal results along with suggestions on potential applications of the proposed schemes.

Original languageEnglish
Title of host publicationProceedings of 1st Joint International Workshop on Entity-Oriented and Semantic Search, JIWES'12 - Co-located with the 35th ACM SIGIR Conference
DOIs
Publication statusPublished - 29 Oct 2012
Event1st Joint International Workshop on Entity-Oriented and Semantic Search, JIWES 2012 - Co-located with the 35th ACM SIGIR Conference - Portland, OR, United States
Duration: 12 Aug 201216 Aug 2012

Publication series

NameACM International Conference Proceeding Series

Conference

Conference1st Joint International Workshop on Entity-Oriented and Semantic Search, JIWES 2012 - Co-located with the 35th ACM SIGIR Conference
CountryUnited States
CityPortland, OR
Period12/8/1216/8/12

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Keywords

  • Entity similarity
  • Profile similarity
  • Search

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Cite this

Tuarob, S., Mitra, P., & Giles, C. L. (2012). Taxonomy-based query-dependent schemes for profile similarity measurement. In Proceedings of 1st Joint International Workshop on Entity-Oriented and Semantic Search, JIWES'12 - Co-located with the 35th ACM SIGIR Conference [8] (ACM International Conference Proceeding Series). https://doi.org/10.1145/2379307.2379315