Semantic Information Retrieval: representing and querying a heterogeneous biological documentary memory
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| Format: | Artículo científico |
| Sprache: | en |
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Universidad de Guadalajara
2004
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| _version_ | 1876432940581257216 |
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| author | R.Carolina Medina R. |
| author_facet | R.Carolina Medina R. |
| contents | Semantic Information Retrieval: representing and querying a heterogeneous biological documentary memory R.Carolina Medina R. Multidisciplinarias (Ciencias Sociales) semantic Web Computer Science indexing methods information retrieval systems Information retrieval systems (IR) deal with the continuous growth of documents on the Web, and must adoptefficient indexing methods and models for providing the users with better answers. Semantic approaches for IR systems seemvery promising to improve IR performances. The fusion of many technologies seems necessary in order to share and capitalizeexplicit knowledge (document content and data) in different domains. The framework of this PhD. work is the ESCRIRE project 2004 artículo científico 1665-5745 https://www.redalyc.org/articulo.oa?id=73000212 en http://www.redalyc.org/revista.oa?id=730 e-Gnosis application/pdf Universidad de Guadalajara e-Gnosis (México) Num.2 |
| format | Artículo científico |
| id | redalyc_73000212 |
| institution | Redalyc |
| language | en |
| publishDate | 2004 |
| publisher | Universidad de Guadalajara |
| spellingShingle | Semantic Information Retrieval: representing and querying a heterogeneous biological documentary memory R.Carolina Medina R. Multidisciplinarias (Ciencias Sociales) semantic Web Computer Science indexing methods information retrieval systems Semantic Information Retrieval: representing and querying a heterogeneous biological documentary memory R.Carolina Medina R. Multidisciplinarias (Ciencias Sociales) semantic Web Computer Science indexing methods information retrieval systems Information retrieval systems (IR) deal with the continuous growth of documents on the Web, and must adoptefficient indexing methods and models for providing the users with better answers. Semantic approaches for IR systems seemvery promising to improve IR performances. The fusion of many technologies seems necessary in order to share and capitalizeexplicit knowledge (document content and data) in different domains. The framework of this PhD. work is the ESCRIRE project 2004 artículo científico 1665-5745 https://www.redalyc.org/articulo.oa?id=73000212 en http://www.redalyc.org/revista.oa?id=730 e-Gnosis application/pdf Universidad de Guadalajara e-Gnosis (México) Num.2 |
| title | Semantic Information Retrieval: representing and querying a heterogeneous biological documentary memory |
| topic | Multidisciplinarias (Ciencias Sociales) semantic Web Computer Science indexing methods information retrieval systems |
| url | https://www.redalyc.org/articulo.oa?id=73000212 |