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Searching ontologies based on content: experiments in the biomedical domain

Published: 28 October 2007 Publication History

Abstract

As more ontologies become publicly available, finding the "right" ontologies becomes much harder. In this paper, we address the problem of ontology search: finding a collection of ontologies from an ontology repository that are relevant to the user's query. In particular, we look at the case when users search for ontologies relevant to a particular topic (e.g., an ontology about anatomy). Ontologies that are most relevant to such query often do not have the query term in the names of their concepts (e.g., the Foundational Model of Anatomy ontology does not have the term "anatomy" in any of its concepts' names). Thus, we present a new ontology-search technique that helps users in these types of searches. When looking for ontologies on a particular topic (e.g., anatomy), we retrieve from the Web a collection of terms that represent the given domain (e.g., terms such as body, brain, skin, etc. for anatomy). We then use these terms to expand the user query. We evaluate our algorithm on queries for topics in the biomedical domain against a repository of biomedical ontologies. We use the results obtained from experts in the biomedical-ontology domain as the gold standard. Our experiments demonstrate that using our method for query expansion improves retrieval results by a 113%, compared to the tools that search only for the user query terms and consider only class and property names (like Swoogle). We show 43% improvement for the case where not only class and property names but also property values are taken into account.

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  • (2021)Exploiting Ontology Recommendation Using Text Categorization ApproachIEEE Access10.1109/ACCESS.2020.30473649(27304-27322)Online publication date: 2021
  • (2017)NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendationJournal of Biomedical Semantics10.1186/s13326-017-0128-y8:1Online publication date: 7-Jun-2017
  • (2016)RecOnApplied Ontology10.3233/AO-16017311:4(301-324)Online publication date: 1-Jan-2016
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cover image ACM Conferences
K-CAP '07: Proceedings of the 4th international conference on Knowledge capture
October 2007
216 pages
ISBN:9781595936431
DOI:10.1145/1298406
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 October 2007

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Author Tags

  1. biomedical ontologies
  2. ontology analysis
  3. ontology searching

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K-CAP07
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K-CAP07: International Conference on Knowledge Capture 2007
October 28 - 31, 2007
BC, Whistler, Canada

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Overall Acceptance Rate 55 of 198 submissions, 28%

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Cited By

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  • (2021)Exploiting Ontology Recommendation Using Text Categorization ApproachIEEE Access10.1109/ACCESS.2020.30473649(27304-27322)Online publication date: 2021
  • (2017)NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendationJournal of Biomedical Semantics10.1186/s13326-017-0128-y8:1Online publication date: 7-Jun-2017
  • (2016)RecOnApplied Ontology10.3233/AO-16017311:4(301-324)Online publication date: 1-Jan-2016
  • (2014)BiOSSComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2014.01.020114:1(125-140)Online publication date: 1-Apr-2014
  • (2013)Getting Lucky in Ontology SearchProceedings of the 12th International Semantic Web Conference - Part I10.1007/978-3-642-41335-3_28(444-459)Online publication date: 21-Oct-2013
  • (2012)A Multi-criteria Approach for Automatic Ontology Recommendation Using Collective KnowledgeRecommender Systems for the Social Web10.1007/978-3-642-25694-3_4(89-103)Online publication date: 21-Jan-2012
  • (2011)Automatic selection of background knowledge for ontology matchingProceedings of the International Workshop on Semantic Web Information Management10.1145/1999299.1999304(1-7)Online publication date: 12-Jun-2011
  • (2010)An approach for the automatic recommendation of ontologies using collaborative knowledgeProceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II10.5555/1885375.1885384(74-81)Online publication date: 8-Sep-2010
  • (2010)An Approach for the Automatic Recommendation of Ontologies Using Collaborative KnowledgeKnowledge-Based and Intelligent Information and Engineering Systems10.1007/978-3-642-15390-7_8(74-81)Online publication date: 2010
  • (2008)Adopting Graph Traversal Techniques for Context-Driven Value Sets Extraction from Biomedical Knowledge SourcesProceedings of the 2008 IEEE International Conference on Semantic Computing10.1109/ICSC.2008.76(460-467)Online publication date: 4-Aug-2008

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