TY - GEN
T1 - Taxonomy-based query-dependent schemes for profile similarity measurement
AU - Tuarob, Suppawong
AU - Mitra, Prasenjit
AU - Giles, C. Lee
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84867817895&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867817895&partnerID=8YFLogxK
U2 - 10.1145/2379307.2379315
DO - 10.1145/2379307.2379315
M3 - Conference contribution
AN - SCOPUS:84867817895
SN - 9781450316019
T3 - ACM International Conference Proceeding Series
BT - Proceedings of 1st Joint International Workshop on Entity-Oriented and Semantic Search, JIWES'12 - Co-located with the 35th ACM SIGIR Conference
T2 - 1st Joint International Workshop on Entity-Oriented and Semantic Search, JIWES 2012 - Co-located with the 35th ACM SIGIR Conference
Y2 - 12 August 2012 through 16 August 2012
ER -