| 000 | 02596nam a2200325za04500 | ||
|---|---|---|---|
| 001 | 17540 | ||
| 008 | 050703s2011 gw eng d | ||
| 020 | _a9783642179167 99783642179167 | ||
| 082 |
_a006.3 _b223 |
||
| 100 |
_aLim, Edward H. Y. _eauthor. _935112 |
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| 245 |
_aKnowledge Seeker - Ontology Modelling for Information Search and Management _h[electronic resource]: _bA Compendium / _cby Edward H. Y. Lim, James N. K. Liu, Raymond S. T. Lee. |
||
| 300 |
_aXXVI, 237 p. _bonline resource. |
||
| 490 | _aIntelligent Systems Reference Library | ||
| 490 |
_x-1868-4394 ; _v-8 |
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| 505 | _aPart I Introduction -- Part II KnowledgeSeeker - An Ontology Modeling and Learning Framework -- Part III KnowledgeSeeker Applications. | ||
| 520 | _aThe KnowledgeSeeker is a useful system to develop various intelligent applications such as ontology-based search engine, ontology-based text classification system, ontological agent system, and semantic web system etc. The KnowledgeSeeker contains four different ontological components. First, it defines the knowledge representation model ÍV Ontology Graph. Second, an ontology learning process that based on chi-square statistics is proposed for automatic learning an Ontology Graph from texts for different domains. Third, it defines an ontology generation method that transforms the learning outcome to the Ontology Graph format for machine processing and also can be visualized for human validation. Fourth, it defines different ontological operations (such as similarity measurement and text classification) that can be carried out with the use of generated Ontology Graphs. The final goal of the KnowledgeSeeker system framework is that it can improve the traditional information system with higher efficiency. In particular, it can increase the accuracy of a text classification system, and also enhance the search intelligence in a search engine. This can be done by enhancing the system with machine processable ontology. | ||
| 650 |
_aEngineering. _996 |
||
| 650 |
_aArtificial intelligence. _933648 |
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| 650 |
_aEngineering. _996 |
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| 650 |
_aArtificial Intelligence (incl. Robotics). _923200 |
||
| 650 |
_933921 _aOPERATIONS RESEARCH, DECISION THEORY |
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| 650 |
_933763 _aCOMPUTATIONAL INTELIGENCE |
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| 700 |
_aLiu, James N. K. _935113 |
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| 700 |
_eauthor. _935114 |
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| 700 |
_aLee, Raymond S. T. _935115 |
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| 700 |
_eauthor. _935114 |
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| 710 |
_aSpringerLink (Online service) _9111 |
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| 856 |
_uhttp://springer.escuelaing.metaproxy.org/book/10.1007/978-3-642-17916-7 _yir a documento _qURL |
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| 942 |
_2ddc _cCF |
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| 999 |
_c14165 _d14165 |
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