Title
Searching ontologies based on content: experiments in the biomedical domain
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.
Year
DOI
Venue
2007
10.1145/1298406.1298418
K-CAP
Keywords
Field
DocType
biomedical domain,ontology repository,biomedical ontology,ontology search,particular topic,anatomy ontology,user query,query term,property name,user query term,query expansion,biomedical ontologies
Ontology (information science),Data mining,Information retrieval,Query expansion,Process ontology,Open Biomedical Ontologies,Computer science,IDEF5,Upper ontology,Ontology components,Foundational Model of Anatomy
Conference
Citations 
PageRank 
References 
13
0.93
10
Authors
5
Name
Order
Citations
PageRank
Harith Alani11957149.66
Natalya Fridman Noy25006381.51
Nigam Shah321220.11
Nigel Shadbolt44273321.53
Mark A Musen57141766.74