A framework for semantic-based similarity measures for ELH-concepts
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Lehmann, Karsten; Turhan, Anni-Yasmin
Description
Similarity measures for concepts written in Description Logics (DLs) are often devised based on the syntax of concepts or simply by adjusting them to a set of instance data. These measures do not take the semantics of the concepts into account and can thus lead to unintuitive results. It even remains unclear how these measures behave if applied to new domains or new sets of instance data. In this paper we develop a framework for similarity measures for ELH-concept descriptions based on the...[Show more]
dc.contributor.author | Lehmann, Karsten | |
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dc.contributor.author | Turhan, Anni-Yasmin | |
dc.coverage.spatial | Toulouse France | |
dc.date.accessioned | 2015-12-10T23:31:34Z | |
dc.date.available | 2015-12-10T23:31:34Z | |
dc.date.created | September 26-28 2012 | |
dc.identifier.isbn | 9783642333521 | |
dc.identifier.uri | http://hdl.handle.net/1885/68695 | |
dc.description.abstract | Similarity measures for concepts written in Description Logics (DLs) are often devised based on the syntax of concepts or simply by adjusting them to a set of instance data. These measures do not take the semantics of the concepts into account and can thus lead to unintuitive results. It even remains unclear how these measures behave if applied to new domains or new sets of instance data. In this paper we develop a framework for similarity measures for ELH-concept descriptions based on the semantics of the DL ELH. We show that our framework ensures that the measures resulting from instantiations fulfill fundamental properties , such as equivalence invariance, yet the framework provides the flexibility to adjust measures to specifics of the modelled domain. | |
dc.publisher | Springer | |
dc.relation.ispartofseries | European Conference on Logics in Artificial Intelligence (JELIA 2012) | |
dc.source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |
dc.subject | Keywords: Description logic; Fundamental properties; Similarity measure; Artificial intelligence; Data description; Semantics | |
dc.title | A framework for semantic-based similarity measures for ELH-concepts | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
dc.date.issued | 2012 | |
local.identifier.absfor | 089999 - Information and Computing Sciences not elsewhere classified | |
local.identifier.ariespublication | f5625xPUB1801 | |
local.type.status | Published Version | |
local.contributor.affiliation | Lehmann, Karsten, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Turhan, Anni-Yasmin, Institute for Theoretical Computer | |
local.bibliographicCitation.startpage | 307 | |
local.bibliographicCitation.lastpage | 319 | |
local.identifier.doi | 10.1007/978-3-642-33353-8_24 | |
dc.date.updated | 2016-02-24T08:50:59Z | |
local.identifier.scopusID | 2-s2.0-84866907922 | |
Collections | ANU Research Publications |
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