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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gil, R. Borges, A.M. Contreras, L. Martin-Bautista, M.J. |
| Copyright Year | 2009 |
| Abstract | Ontology Learning (OL) arises as an area to support semantic engineering because it enables to recover and to extract knowledge from the Web documents to improve the development of domain ontologies. One of the most fruitful fields of OL is Artificial Intelligence (AI), since it sustains new methods, techniques and tools, particularly related with Web- and Text-mining. In this work, we are dealing with a meta-model incrementally developed, proposing an OL experiment with open source tools. To reach that, firstly, ontology about a University institution previously developed is increasable synthesized. Secondly, a particular Methodology and strategy for OL is used to illustrate how could be included these Text-mining and OL tools into a kind of (Semi-) Intelligent-Agent, and how the overall ontological development process could be improved. Particularly, the OL “agent” test tool is applied to Update/Extend the University ontology by a Semi-Supervised Machine Learning approach. |
| Starting Page | 558 |
| Ending Page | 563 |
| File Size | 368415 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769535074 |
| DOI | 10.1109/CSIE.2009.957 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge engineering Text-mining Ontologies Proposals Machine Learning Computer science Learning systems Semantic Web Supervised Learning Ontology Learning Tools Machine learning Semisupervised learning Artificial intelligence Ontology Development Testing |
| Content Type | Text |
| Resource Type | Article |
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