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Enhancing Wikipedia with Semantic Technologies: Extraction, organization and querying of semantic information to provide a better user interface - Brossura
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As the amount of content grows on the Web, there is an increasing need to provide better search capabilities that produce relevant results. The use of semantics in information would allow us to achieve complex query execution which will provide greater accuracy in information retrieval. We examine the benefit and feasibility of implementing semantic technologies over Wikipedia, which is one of the largest repositories of knowledge at present. In our project we begin by creating a corpus of semantic data which we extract from Wikipedia. Then, we create a platform in order to cater for semantic user interface development as separate modules. Finally, we create several semantic user interface modules to test the effectiveness of such an implementation. The results from our project is that a platform to allow access to semantic data over existing content is not only possible, but an effective way to encourage development of semantic technologies.
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Lee Lian Hoy, MSc: Studied Computer Science at University of Auckland. Senior Developer at Affinity ID, New Zealand.
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- EditoreLAP LAMBERT Academic Publishing
- Data di pubblicazione2012
- ISBN 10 3659112720
- ISBN 13 9783659112720
- RilegaturaCopertina flessibile
- Numero di pagine92
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Enhancing Wikipedia with Semantic Technologies: Extraction, organization and querying of semantic information to provide a better user interface
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ISBN 13: 9783659112720
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Enhancing Wikipedia with Semantic Technologies
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Enhancing Wikipedia with Semantic Technologies
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As the amount of content grows on the Web, there is an increasing need to provide better search capabilities that produce relevant results. The use of semantics in information would allow us to achieve complex query execution which will provide greater accuracy in information retrieval. We examine the benefit and feasibility of implementing semantic technologies over Wikipedia, which is one of the largest repositories of knowledge at present. In our project we begin by creating a corpus of semantic data which we extract from Wikipedia. Then, we create a platform in order to cater for semantic user interface development as separate modules. Finally, we create several semantic user interface modules to test the effectiveness of such an implementation. The results from our project is that a platform to allow access to semantic data over existing content is not only possible, but an effective way to encourage development of semantic technologies. 92 pp. Englisch. Codice articolo 9783659112720
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Enhancing Wikipedia with Semantic Technologies : Extraction, organization and querying of semantic information to provide a better user interface
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ISBN 13: 9783659112720
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the amount of content grows on the Web, there is an increasing need to provide better search capabilities that produce relevant results. The use of semantics in information would allow us to achieve complex query execution which will provide greater accuracy in information retrieval. We examine the benefit and feasibility of implementing semantic technologies over Wikipedia, which is one of the largest repositories of knowledge at present. In our project we begin by creating a corpus of semantic data which we extract from Wikipedia. Then, we create a platform in order to cater for semantic user interface development as separate modules. Finally, we create several semantic user interface modules to test the effectiveness of such an implementation. The results from our project is that a platform to allow access to semantic data over existing content is not only possible, but an effective way to encourage development of semantic technologies. Codice articolo 9783659112720
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Enhancing Wikipedia with Semantic Technologies
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lee Lian HoyLee Lian Hoy, MSc: Studied Computer Science at University of Auckland. Senior Developer at Affinity ID, New Zealand.As the amount of content grows on the Web, there is an increasing need to provide better search cap. Codice articolo 5132207
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