Opaque Attribute Alignment

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dc.contributor.authorSleeman, Jennifer
dc.contributor.authorAlonso, Rafael
dc.contributor.authorLi, Hua
dc.contributor.authorPope, Art
dc.contributor.authorBadia, Antonia
dc.date.accessioned2018-11-14T19:23:05Z
dc.date.available2018-11-14T19:23:05Z
dc.date.issued2012-04-01
dc.descriptionProceedings of the 3rd International Workshop on Data Engineering Meets the Semantic Weben_US
dc.description.abstractOntology alignment describes a process of mapping ontological concepts, classes and attributes between different ontologies providing a way to achieve interoperability. While there has been considerable research in this area, most approaches that rely upon the alignment of attributes use label-based string comparisons of property names. The ability to process opaque or non-interpreted attribute names is a necessary component of attribute alignment. We describe a new attribute alignment approach to support ontology alignment that uses the density estimation as a means for determining alignment among objects. Using the combination of similarity hashing, Kernel Density Estimation (KDE) and Cross entropy, we are able to show promising F-Measure scores using the standard Ontology Alignment Evaluation Initiative (OAEI) 2011 benchmark.en_US
dc.description.sponsorshipThis material is based in part upon work supported by the Intelligence Advanced Research Projects Activity (IARPA) via Air Force Research Laboratory contract number FA8650-10- C-7060. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright annotation thereon.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/573/Opaque-Attribute-Alignmenten_US
dc.format.extent6 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M22F7JV83
dc.identifier.urihttp://hdl.handle.net/11603/11988
dc.language.isoen_USen_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.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.subjectontology alignmenten_US
dc.subjectontologyen_US
dc.subjectsemantic weben_US
dc.subjectOpaqueen_US
dc.subjectAttribute Alignmenten_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleOpaque Attribute Alignmenten_US
dc.typeTexten_US

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