Concept sense disambiguation in concept maps using WordNet
In this report an unsupervised and knowledge-based algorithm for concept sense disambiguation in concept maps is proposed. Concept maps are graphical tools for organizing and representing knowledge, based on concepts and labeled interconnections among them, forming propositions. The disambiguation p...
| Autores: | , , |
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| Tipo de recurso: | informe técnico |
| Fecha de publicación: | 2007 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/86447 |
| Acceso en línea: | https://hdl.handle.net/2117/86447 |
| Access Level: | acceso abierto |
| Palabra clave: | Concept maps Concept sense disambiguation Magnini’s domain WordNet Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
| Sumario: | In this report an unsupervised and knowledge-based algorithm for concept sense disambiguation in concept maps is proposed. Concept maps are graphical tools for organizing and representing knowledge, based on concepts and labeled interconnections among them, forming propositions. The disambiguation process is carried combining Magnini’s domain, context information and the gloss. It’s supported in the Spanish WordNet lexical database and the lexical relations hypernyms-hyponyms, meronyms-holonyms and instance. |
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