Title of article :
Target-driven merging of taxonomies with Atom
Author/Authors :
Salvatore Raunich، نويسنده , , Erhard Rahm، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
14
From page :
1
To page :
14
Abstract :
The proliferation of ontologies and taxonomies in many domains increasingly demands the integration of multiple such ontologies. We propose a new taxonomy merging algorithm called Atom that, given as input two taxonomies and a match mapping between them, can generate an integrated taxonomy in a largely automatic manner. The approach is target-driven, i.e. we merge a source taxonomy into the target taxonomy and preserve the target ontology as much as possible. In contrast to previous approaches, Atom does not aim at fully preserving all input concepts and relationships but strives to reduce the semantic heterogeneity of the merge results for improved understandability. Atom can also exploit advanced match mappings containing is-a relationships in addition to equivalence relationships between concepts of the input taxonomies. We evaluate Atom for synthetic and real-world scenarios and compare it with a full merge solution.
Keywords :
Data models , Taxonomy merging , data integration , Database applications
Journal title :
Information Systems
Serial Year :
2014
Journal title :
Information Systems
Record number :
1230390
Link To Document :
بازگشت