A system that enables interoperation among information sources using ontologies needs to resolve the terminological differences between ontologies. In this work, we present several methods that we have designed to match terms used in different ontologies. We have implemented two methods based on linguistic similarities of terms used in the ontologies. The first looks up a dictionary or semantic network like WordNet and the second determines similarities of words based on word similarity compuoed from a domain-specific corpus of documents. We discuss our experiments that indicate that a method that uses both heuristics produces good results
Facilitating information exchange is a crucial service for ontology-based knowl-edge systems. This c...
Abstract—Matching ontologies which utilize significantly hetero-geneous terminologies is a challengi...
Mapping heterogeneous ontologies is usually performed manually by domain experts, or accomplished by...
Abstract. A system that enables interoperation among information sources using ontologies needs to r...
Ontologies describe the semantics of data and provide a uniform framework of understanding between d...
AbstractOntology is a new paradigm introduced with the semantic web to describe in an explicit and f...
Underlying heterogeneous systems, multiple ontologies are created that describe same or overlapping ...
Summarization: Semantic Similarity relates to computing the similarity between concepts (terms) whic...
Restricted until 25 Jan. 2010.The main goal of this research is to improve interoperability between ...
Matching ontologies which utilize significantly heterogeneous terminologies is a challenging task fo...
Matching ontologies which utilize significantly heterogeneous terminologies is a challenging task fo...
Most of the ontology alignment tools use terminological techniques as the initial step and then appl...
Summarization: Semantic Similarity relates to computing the similarity between concepts which are no...
AbstractThe estimation of the semantic similarity between terms provides a valuable tool to enable t...
Abstract. Ontologies are widely used for capturing and organizing knowledge of a particular domain o...
Facilitating information exchange is a crucial service for ontology-based knowl-edge systems. This c...
Abstract—Matching ontologies which utilize significantly hetero-geneous terminologies is a challengi...
Mapping heterogeneous ontologies is usually performed manually by domain experts, or accomplished by...
Abstract. A system that enables interoperation among information sources using ontologies needs to r...
Ontologies describe the semantics of data and provide a uniform framework of understanding between d...
AbstractOntology is a new paradigm introduced with the semantic web to describe in an explicit and f...
Underlying heterogeneous systems, multiple ontologies are created that describe same or overlapping ...
Summarization: Semantic Similarity relates to computing the similarity between concepts (terms) whic...
Restricted until 25 Jan. 2010.The main goal of this research is to improve interoperability between ...
Matching ontologies which utilize significantly heterogeneous terminologies is a challenging task fo...
Matching ontologies which utilize significantly heterogeneous terminologies is a challenging task fo...
Most of the ontology alignment tools use terminological techniques as the initial step and then appl...
Summarization: Semantic Similarity relates to computing the similarity between concepts which are no...
AbstractThe estimation of the semantic similarity between terms provides a valuable tool to enable t...
Abstract. Ontologies are widely used for capturing and organizing knowledge of a particular domain o...
Facilitating information exchange is a crucial service for ontology-based knowl-edge systems. This c...
Abstract—Matching ontologies which utilize significantly hetero-geneous terminologies is a challengi...
Mapping heterogeneous ontologies is usually performed manually by domain experts, or accomplished by...