Matches in SemOpenAlex for { <https://semopenalex.org/work/W2029671444> ?p ?o ?g. }
Showing items 1 to 87 of
87
with 100 items per page.
- W2029671444 abstract "As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored. A genetic algorithm-based clustering technique, named GA clustering, in conjunction with ontology is proposed in this article to overcome this problem. In general, the ontology measures can be partitioned into two categories: thesaurus-based methods and corpus-based methods. We take advantage of the hierarchical structure and the broad coverage taxonomy of Wordnet as the thesaurus-based ontology. However, the corpus-based method is rather complicated to handle in practical application. We propose a transformed latent semantic analysis (LSA) model as the corpus-based method in this paper. Moreover, two hybrid strategies, the combinations of the various similarity measures, are implemented in the clustering experiments. The results show that our GA clustering algorithm, in conjunction with the thesaurus-based and the LSA-based method, apparently outperforms that with other similarity measures. Moreover, the superiority of the GA clustering algorithm proposed over the commonly used k-means algorithm and the standard GA is demonstrated by the improvements of the clustering performance." @default.
- W2029671444 created "2016-06-24" @default.
- W2029671444 creator A5014673031 @default.
- W2029671444 creator A5030729366 @default.
- W2029671444 creator A5034507166 @default.
- W2029671444 creator A5056318061 @default.
- W2029671444 date "2008-10-01" @default.
- W2029671444 modified "2023-10-16" @default.
- W2029671444 title "Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering" @default.
- W2029671444 cites W130742730 @default.
- W2029671444 cites W1736099096 @default.
- W2029671444 cites W1859953786 @default.
- W2029671444 cites W1997600725 @default.
- W2029671444 cites W2051224630 @default.
- W2029671444 cites W2071965987 @default.
- W2029671444 cites W2073503732 @default.
- W2029671444 cites W2073849744 @default.
- W2029671444 cites W2081580037 @default.
- W2029671444 cites W2102660810 @default.
- W2029671444 cites W2107903523 @default.
- W2029671444 cites W2117805756 @default.
- W2029671444 cites W2120482366 @default.
- W2029671444 cites W2123457740 @default.
- W2029671444 cites W2133517430 @default.
- W2029671444 cites W2134145060 @default.
- W2029671444 cites W2162965720 @default.
- W2029671444 cites W2302947639 @default.
- W2029671444 cites W81068815 @default.
- W2029671444 doi "https://doi.org/10.1109/nlpke.2008.4906791" @default.
- W2029671444 hasPublicationYear "2008" @default.
- W2029671444 type Work @default.
- W2029671444 sameAs 2029671444 @default.
- W2029671444 citedByCount "0" @default.
- W2029671444 crossrefType "proceedings-article" @default.
- W2029671444 hasAuthorship W2029671444A5014673031 @default.
- W2029671444 hasAuthorship W2029671444A5030729366 @default.
- W2029671444 hasAuthorship W2029671444A5034507166 @default.
- W2029671444 hasAuthorship W2029671444A5056318061 @default.
- W2029671444 hasConcept C111472728 @default.
- W2029671444 hasConcept C124101348 @default.
- W2029671444 hasConcept C130318100 @default.
- W2029671444 hasConcept C138885662 @default.
- W2029671444 hasConcept C154945302 @default.
- W2029671444 hasConcept C157659113 @default.
- W2029671444 hasConcept C170133592 @default.
- W2029671444 hasConcept C177937566 @default.
- W2029671444 hasConcept C204321447 @default.
- W2029671444 hasConcept C23123220 @default.
- W2029671444 hasConcept C25810664 @default.
- W2029671444 hasConcept C2778698081 @default.
- W2029671444 hasConcept C41008148 @default.
- W2029671444 hasConcept C73555534 @default.
- W2029671444 hasConcept C89686163 @default.
- W2029671444 hasConcept C92835128 @default.
- W2029671444 hasConceptScore W2029671444C111472728 @default.
- W2029671444 hasConceptScore W2029671444C124101348 @default.
- W2029671444 hasConceptScore W2029671444C130318100 @default.
- W2029671444 hasConceptScore W2029671444C138885662 @default.
- W2029671444 hasConceptScore W2029671444C154945302 @default.
- W2029671444 hasConceptScore W2029671444C157659113 @default.
- W2029671444 hasConceptScore W2029671444C170133592 @default.
- W2029671444 hasConceptScore W2029671444C177937566 @default.
- W2029671444 hasConceptScore W2029671444C204321447 @default.
- W2029671444 hasConceptScore W2029671444C23123220 @default.
- W2029671444 hasConceptScore W2029671444C25810664 @default.
- W2029671444 hasConceptScore W2029671444C2778698081 @default.
- W2029671444 hasConceptScore W2029671444C41008148 @default.
- W2029671444 hasConceptScore W2029671444C73555534 @default.
- W2029671444 hasConceptScore W2029671444C89686163 @default.
- W2029671444 hasConceptScore W2029671444C92835128 @default.
- W2029671444 hasLocation W20296714441 @default.
- W2029671444 hasOpenAccess W2029671444 @default.
- W2029671444 hasPrimaryLocation W20296714441 @default.
- W2029671444 hasRelatedWork W1140107 @default.
- W2029671444 hasRelatedWork W1506199591 @default.
- W2029671444 hasRelatedWork W200669281 @default.
- W2029671444 hasRelatedWork W2029671444 @default.
- W2029671444 hasRelatedWork W2168022112 @default.
- W2029671444 hasRelatedWork W2251023718 @default.
- W2029671444 hasRelatedWork W2253863248 @default.
- W2029671444 hasRelatedWork W2373681485 @default.
- W2029671444 hasRelatedWork W2944312134 @default.
- W2029671444 hasRelatedWork W41703784 @default.
- W2029671444 isParatext "false" @default.
- W2029671444 isRetracted "false" @default.
- W2029671444 magId "2029671444" @default.
- W2029671444 workType "article" @default.