Semantic Similarity between Concepts from Different OWL Ontologies
Ontologies are widely used and play important roles in applications related to knowledge management, knowledge engineering, natural language processing, information retrieval, etc. Computing semantic similarity between concepts from different ontologies is important in ontology operations such as ma...
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| creator | Le Duy Ngan Tran Minh Hang Goh, A.E.S. |
| description | Ontologies are widely used and play important roles in applications related to knowledge management, knowledge engineering, natural language processing, information retrieval, etc. Computing semantic similarity between concepts from different ontologies is important in ontology operations such as mapping, aligning, and integrating. This paper presents an algorithm to compute the semantic similarity between concepts from different ontologies based on OWL. The concept similarity is the combination of the five components: syntactic, properties, neighborhood, context similarity, and equivalent similarity. It improves previous work by adding the context and equivalent similarity dimension. The experimental results confirm the viability of the algorithm. |
| doi_str_mv | 10.1109/INDIN.2006.275632 |
| format | Conference Proceeding |
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This paper presents an algorithm to compute the semantic similarity between concepts from different ontologies based on OWL. The concept similarity is the combination of the five components: syntactic, properties, neighborhood, context similarity, and equivalent similarity. It improves previous work by adding the context and equivalent similarity dimension. 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This paper presents an algorithm to compute the semantic similarity between concepts from different ontologies based on OWL. The concept similarity is the combination of the five components: syntactic, properties, neighborhood, context similarity, and equivalent similarity. It improves previous work by adding the context and equivalent similarity dimension. The experimental results confirm the viability of the algorithm.</description><subject>Application software</subject><subject>Information retrieval</subject><subject>Knowledge engineering</subject><subject>Knowledge management</subject><subject>Microstrip</subject><subject>Natural language processing</subject><subject>Ontologies</subject><subject>OWL</subject><subject>Petroleum</subject><subject>Semantic Web</subject><issn>1935-4576</issn><issn>2378-363X</issn><isbn>9780780397002</isbn><isbn>0780397002</isbn><isbn>9780780397019</isbn><isbn>0780397010</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVjMtKw0AUhscbGGofQNzMCySemTOXzFLTqoXSLlrQXZkkJzKSS0kGpG9vQTf-fPAtPvgZuxeQCQHucbVZrDaZBDCZtNqgvGBzZ3M4g86CcJcskWjzFA1-XP1rIK9ZIhzqVGlrbtl8mr7gPKUVKkzY844638dQ8V3oQuvHEE-8pPhN1PNi6Cs6xok349DxRWgaGqmPfPu-5ts-Du3wGWi6YzeNbyea_3nG9i_LffGWrrevq-JpnQYHMTVGeahI-qqua-kqtAKsIe_RyBy1thpzmYvaQQm2RKqcggZq2QhnbO1znLGH39tARIfjGDo_ng4KNCrt8AdgS08S</recordid><startdate>200608</startdate><enddate>200608</enddate><creator>Le Duy Ngan</creator><creator>Tran Minh Hang</creator><creator>Goh, A.E.S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200608</creationdate><title>Semantic Similarity between Concepts from Different OWL Ontologies</title><author>Le Duy Ngan ; Tran Minh Hang ; Goh, A.E.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-664a0ce2acddd29c371076eaa36283557538281d90b07b3ec940f0d2f1967da83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Application software</topic><topic>Information retrieval</topic><topic>Knowledge engineering</topic><topic>Knowledge management</topic><topic>Microstrip</topic><topic>Natural language processing</topic><topic>Ontologies</topic><topic>OWL</topic><topic>Petroleum</topic><topic>Semantic Web</topic><toplevel>online_resources</toplevel><creatorcontrib>Le Duy Ngan</creatorcontrib><creatorcontrib>Tran Minh Hang</creatorcontrib><creatorcontrib>Goh, A.E.S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Le Duy Ngan</au><au>Tran Minh Hang</au><au>Goh, A.E.S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Semantic Similarity between Concepts from Different OWL Ontologies</atitle><btitle>2006 4th IEEE International Conference on Industrial Informatics</btitle><stitle>INDIN</stitle><date>2006-08</date><risdate>2006</risdate><spage>618</spage><epage>623</epage><pages>618-623</pages><issn>1935-4576</issn><eissn>2378-363X</eissn><isbn>9780780397002</isbn><isbn>0780397002</isbn><eisbn>9780780397019</eisbn><eisbn>0780397010</eisbn><abstract>Ontologies are widely used and play important roles in applications related to knowledge management, knowledge engineering, natural language processing, information retrieval, etc. Computing semantic similarity between concepts from different ontologies is important in ontology operations such as mapping, aligning, and integrating. This paper presents an algorithm to compute the semantic similarity between concepts from different ontologies based on OWL. The concept similarity is the combination of the five components: syntactic, properties, neighborhood, context similarity, and equivalent similarity. It improves previous work by adding the context and equivalent similarity dimension. The experimental results confirm the viability of the algorithm.</abstract><pub>IEEE</pub><doi>10.1109/INDIN.2006.275632</doi><tpages>6</tpages></addata></record> |
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| subjects | Application software Information retrieval Knowledge engineering Knowledge management Microstrip Natural language processing Ontologies OWL Petroleum Semantic Web |
| title | Semantic Similarity between Concepts from Different OWL Ontologies |
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