A random walk on an ontology: Using thesaurus structure for automatic subject indexing
Identifieur interne : 001245 ( Istex/Corpus ); précédent : 001244; suivant : 001246A random walk on an ontology: Using thesaurus structure for automatic subject indexing
Auteurs : Craig Willis ; Robert M. LoseeSource :
- Journal of the American Society for Information Science and Technology [ 1532-2882 ] ; 2013-07.
Abstract
Relationships between terms and features are an essential component of thesauri, ontologies, and a range of controlled vocabularies. In this article, we describe ways to identify important concepts in documents using the relationships in a thesaurus or other vocabulary structures. We introduce a methodology for the analysis and modeling of the indexing process based on a weighted random walk algorithm. The primary goal of this research is the analysis of the contribution of thesaurus structure to the indexing process. The resulting models are evaluated in the context of automatic subject indexing using four collections of documents pre‐indexed with 4 different thesauri (AGROVOC [UN Food and Agriculture Organization], high‐energy physics taxonomy [HEP], National Agricultural Library Thesaurus [NALT], and medical subject headings [MeSH]). We also introduce a thesaurus‐centric matching algorithm intended to improve the quality of candidate concepts. In all cases, the weighted random walk improves automatic indexing performance over matching alone with an increase in average precision (AP) of 9% for HEP, 11% for MeSH, 35% for NALT, and 37% for AGROVOC. The results of the analysis support our hypothesis that subject indexing is in part a browsing process, and that using the vocabulary and its structure in a thesaurus contributes to the indexing process. The amount that the vocabulary structure contributes was found to differ among the 4 thesauri, possibly due to the vocabulary used in the corresponding thesauri and the structural relationships between the terms. Each of the thesauri and the manual indexing associated with it is characterized using the methods developed here.
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DOI: 10.1002/asi.22853
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In this article, we describe ways to identify important concepts in documents using the relationships in a thesaurus or other vocabulary structures. We introduce a methodology for the analysis and modeling of the indexing process based on a weighted random walk algorithm. The primary goal of this research is the analysis of the contribution of thesaurus structure to the indexing process. The resulting models are evaluated in the context of automatic subject indexing using four collections of documents pre‐indexed with 4 different thesauri (<fc>AGROVOC</fc> [UN Food and Agriculture Organization], high‐energy physics taxonomy [<fc>HEP</fc>], National Agricultural Library Thesaurus [<fc>NALT</fc>], and medical subject headings [<fc>MeSH</fc>]). We also introduce a thesaurus‐centric matching algorithm intended to improve the quality of candidate concepts. In all cases, the weighted random walk improves automatic indexing performance over matching alone with an increase in average precision (<fc>AP</fc>) of 9% for <fc>HEP</fc>, 11% for <fc>MeSH</fc>, 35% for <fc>NALT</fc>, and 37% for <fc>AGROVOC</fc>. The results of the analysis support our hypothesis that subject indexing is in part a browsing process, and that using the vocabulary and its structure in a thesaurus contributes to the indexing process. The amount that the vocabulary structure contributes was found to differ among the 4 thesauri, possibly due to the vocabulary used in the corresponding thesauri and the structural relationships between the terms. 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In all cases, the weighted random walk improves automatic indexing performance over matching alone with an increase in average precision (AP) of 9% for HEP, 11% for MeSH, 35% for NALT, and 37% for AGROVOC. The results of the analysis support our hypothesis that subject indexing is in part a browsing process, and that using the vocabulary and its structure in a thesaurus contributes to the indexing process. The amount that the vocabulary structure contributes was found to differ among the 4 thesauri, possibly due to the vocabulary used in the corresponding thesauri and the structural relationships between the terms. Each of the thesauri and the manual indexing associated with it is characterized using the methods developed here.</abstract><note type="funding">Institute of Museum and Library Services (IMLS) - No. LG‐07‐08‐0120‐08; </note><subject><genre>keywords</genre><topic>automatic indexing</topic><topic>ontologies</topic><topic>thesauri</topic></subject><relatedItem type="host"><titleInfo><title>Journal of the American Society for Information Science and Technology</title></titleInfo><titleInfo type="abbreviated"><title>J Am Soc Inf Sci Tec</title></titleInfo><genre type="journal">journal</genre><subject><genre>index-terms</genre><topic authorityURI="http://psi.asis.org/digital/thesauri">thesauri</topic><topic authorityURI="http://psi.asis.org/digital/subject+indexing">subject indexing</topic><topic authorityURI="http://psi.asis.org/digital/automatic+categorization">automatic categorization</topic><topic authorityURI="http://psi.asis.org/digital/hierarchical+models">hierarchical models</topic><topic authorityURI="http://psi.asis.org/digital/weighting">weighting</topic></subject><subject><genre>article-category</genre><topic>RESEARCH ARTICLE</topic></subject><identifier type="ISSN">1532-2882</identifier><identifier type="eISSN">1532-2890</identifier><identifier type="DOI">10.1002/(ISSN)1532-2890</identifier><identifier type="PublisherID">ASI</identifier><part><date>2013</date><detail type="volume"><caption>vol.</caption><number>64</number></detail><detail type="issue"><caption>no.</caption><number>7</number></detail><extent unit="pages"><start>1330</start><end>1344</end><total>15</total></extent></part></relatedItem><identifier type="istex">AE3F4B8CB26A03C3C3E220357B22647CB463B9E8</identifier><identifier type="DOI">10.1002/asi.22853</identifier><identifier type="ArticleID">ASI22853</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2013 ASIS&T© 2013 ASIS&T</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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