A Methodology for Ontology Evaluation Using Topic Models

Simple item page
dc.contributor.authorGangopadhyay, Aryya
dc.contributor.authorMolek, Matthew
dc.contributor.authorYesha, Yelena
dc.contributor.authorBrady, Mary
dc.contributor.authorYesha, Yaacov
dc.date.accessioned2021-08-16T18:14:58Z
dc.date.available2021-08-16T18:14:58Z
dc.date.issued2012-10-25
dc.description2012 Fourth International Conference on Intelligent Networking and Collaborative Systemsen_US
dc.description.abstractThe purpose of this paper is to describe a methodology for objectively evaluating ontologies. Our approach involves randomly partitioning the elements of an ontology into disjoints training and test set respectively, generating topic models on the training set, and evaluating how well the model fits the test set. We have tested our methodology on the Translational Medicine Ontology and collected extensive experimental results. The results include the average perplexity score for the entire ontology as well as those for individual elements. Since our methodology provides a numeric score for an ontology it can be used to compare ontologies. Furthermore, elements with high perplexity scores might indicate that either these do not fit well with the rest of the ontology, or that the descriptions for these elements are inadequate. Different perplexity scores among sibling elements indicate the need to revise the structure of the ontology.en_US
dc.description.sponsorshipThe authors would like to thank NIST for funding this work. We would also like to thank the anonymous reviewers for their comments on the paper.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/6337949en_US
dc.format.extent6 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.identifierdoi:10.13016/m2bgq2-vok9
dc.identifier.citationGangopadhyay, Aryya et al.; A Methodology for Ontology Evaluation Using Topic Models; 2012 Fourth International Conference on Intelligent Networking and Collaborative Systems, 25 October, 2012; https://doi.org/10.1109/iNCoS.2012.42en_US
dc.identifier.urihttps://doi.org/10.1109/iNCoS.2012.42
dc.identifier.urihttp://hdl.handle.net/11603/22460
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleA Methodology for Ontology Evaluation Using Topic Modelsen_US
dc.typeTexten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
A_Methodology_for_Ontology_Evaluation_Using_Topic_Models.pdf
Size:
412 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

UMBC Information Systems Department
UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection