CSR: Discovering subsumption relations for the alignment of ontologies

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5021 LNCS, Issue , 2008, Pages 418-431

  Spiliopoulos, Vassilis ^a,b   Valarakos, Alexandros G ^a   Vouros, George A ^a  

^a UNIVERSITY OF THE AEGEAN   (Greece)

^b INSTITUTE OF NANOSCIENCE AND NANOTECHNOLOGY   (Greece)

Author keywords

Ontology alignment; Subsumption; Supervised machine learning

Indexed keywords

ALIGNMENT; ARTIFICIAL INTELLIGENCE; BENCHMARKING; CLASSIFICATION (OF INFORMATION); INFORMATION THEORY; LEARNING SYSTEMS; PAPER; SEMANTIC WEB; SEMANTICS; SET THEORY; WORLD WIDE WEB;

EQUIVALENCE RELATIONS; EUROPEAN; EXPERIMENTAL RESULTS; HEIDELBERG (CO); SPRINGER (CO); STATE OF THE ARTS; SUBSUMPTION RELATIONS; SUPERVISED MACHINE LEARNING;

ONTOLOGY;

EID: 45449102267     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68234-9_32     Document Type: Conference Paper

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