Paper Info
Title
On automatic modeling and use of domain-specific ontologies
Abstract
In this paper, we firstly introduce an approach to the modeling of a domain-specific ontology for use in connection with a given document collection. Secondly, we present a methodology for deriving conceptual similarity from the domain-specific ontology. Adopted for ontology representation is a specific lattice-based concept algebraic language by which ontologies are inherently generative. The modeling of a domain specific ontology is based on a general ontology built upon common knowledge resources as dictionaries and thesauri. Based on analysis of concept occurrences in the object document collection the general ontology is restricted to a domain specific ontology encompassing concepts instantiated in the collection. The resulting domain specific ontology and similarity can be applied for surveying the collection through key concepts and conceptual relations and provides a means for topic-based navigation. Finally, a measure of concept similarity is derived from the domain specific ontology based on occurrences, commonalities, and distances in the ontology.
Year
DOI
Venue
2005
10.1007/11425274_8
ISMIS
Keywords
Field
DocType
concept occurrence,object document collection,specific ontology,general ontology,domain-specific ontology,document collection,domain specific ontology,automatic modeling,specific lattice-based concept algebraic,resulting domain,ontology representation
Ontology (information science),Ontology-based data integration,Data mining,Ontology alignment,Process ontology,Computer science,Open Biomedical Ontologies,Ontology chart,Natural language processing,Artificial intelligence,Suggested Upper Merged Ontology,Upper ontology
Conference
Volume
ISSN
ISBN
3488
0302-9743
3-540-25878-7
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Troels Andreasen150543.70
Henrik Bulskov215215.95
Rasmus Knappe3594.52