Text Based Similarity Metrics and Delta for Semantic Web Graphs

Simple item page
dc.contributor.authorViswanathan, Krishnamurthy
dc.contributor.authorFinin, Tim
dc.date.accessioned2018-11-16T16:28:40Z
dc.date.available2018-11-16T16:28:40Z
dc.date.issued2010-08-07
dc.description.abstractRecognizing that two Semantic Web documents or graphs are similar, and characterizing their differences is useful in many tasks, including retrieval, updating, version control and knowledge base editing. We describe a number of text based similarity metrics that characterize the relation between Semantic Web graphs and evaluate these metrics for three specific cases of similarity that we have identified: similarity in classes and properties used while differing only in literal content, difference only in base-URI, and versioning relationship. When one graph is judged to be a version of another, we generate a “delta” consisting of of triples to be added or removed from one graph to make them equivalent. This method takes into account the text of the RDF graph’s serialization as a document, rather than relying solely on the document URI. We have prototyped these techniques in a system that we call Similis and evaluated its performance on several tasks using a collection of graphs from the archive of the Swoogle Semantic Web search engine.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/494/Text-Based-Similarity-and-Delta-for-Semantic-Web-Graphsen_US
dc.format.extent16 pagesen_US
dc.genreTechnical Reportsen_US
dc.identifierdoi:10.13016/M2CJ87Q3C
dc.identifier.urihttp://hdl.handle.net/11603/12030
dc.language.isoen_USen_US
dc.publisherUniversity of Maryland, Baltimore Countyen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student 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.
dc.subjectSemantic Web graphsen_US
dc.subjectsimilarity metricsen_US
dc.subjectdeltaen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleText Based Similarity Metrics and Delta for Semantic Web Graphsen_US
dc.title.alternativeText Based Similarity and Delta for Semantic Web Graphs
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-6593-1792

Files

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

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection
UMBC Student Collection