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Ontology learning and population : bridging the gap between text and knowledge /
The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Ios Press,
2008.
|
| Colección: | Frontiers in artificial intelligence and applications ;
v. 167. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Ontology learning and population : |b bridging the gap between text and knowledge / |c edited by Paul Buitelaar and Philipp Cimiano. |
| 260 | |a Amsterdam : |b Ios Press, |c 2008. | ||
| 300 | |a 1 online resource (xvi, 273 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Frontiers in artificial intelligence and applications ; |v v. 167 | |
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Title page; On the "Ontology" in Ontology Learning; Foreword; Contents; Extracting Terms and Synonyms; Taxonomy and Concept Learning; Learning Relations; Ontology Population; Methodology; Evaluation; Author Index. | |
| 520 | |a The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee. | ||
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| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Expert systems (Computer science) | |
| 650 | 0 | |a Information retrieval. | |
| 650 | 0 | |a Knowledge acquisition (Expert systems) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Ontology. | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 2 | |a Expert Systems | |
| 650 | 2 | |a Information Storage and Retrieval | |
| 650 | 2 | |a Natural Language Processing | |
| 650 | 2 | |a Machine Learning | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Systèmes experts (Informatique) | |
| 650 | 6 | |a Recherche de l'information. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Ontologie. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a information retrieval. |2 aat | |
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| 650 | 7 | |a Expert systems (Computer science) |2 fast | |
| 650 | 7 | |a Information retrieval |2 fast | |
| 650 | 7 | |a Knowledge acquisition (Expert systems) |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast | |
| 650 | 7 | |a Ontology |2 fast | |
| 700 | 1 | |a Buitelaar, Paul. | |
| 700 | 1 | |a Cimiano, Philipp. | |
| 758 | |i has work: |a Ontology Learning and Population: Bridging the Gap between Text and Knowledge (Text) |1 https://id.oclc.org/worldcat/entity/E39PCYfVv6HVbvQhBrTCgBqRcd |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Ontology learning and population. |d Amsterdam, NL : IOS Press, ©2008 |w (DLC) 2007941915 |
| 830 | 0 | |a Frontiers in artificial intelligence and applications ; |v v. 167. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=334195 |z Texto completo |
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