Abstract
The Semantic Web is expected to extend the current Web by providing structured content via the addition of annotations. Because of the large amount of pages in the Web, the manual annotation is very time consuming. Finding an automatic or semiautomatic method to change the current Web to the Semantic Web is very helpful. In a specific domain, Web pages are the parables of that domain ontology. So we need semiautomatic tools to find these parables and fill their attributes. In this article, we propose a new system named OPLSW for parable learning of an ontology from Web pages of Websites in a common domain. This system is the first comprehensive system for automatically populating the ontology for websites. By using this system, any Website in a certain domain can be automatically annotated.
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Kabiri, N., Modiri, N., Mirzaee, N. (2011). OPLSW: A New System for Ontology Parable Learning in Semantic Web. In: Nguyen, N.T., Trawiński, B., Jung, J.J. (eds) New Challenges for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19953-0_6
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DOI: https://doi.org/10.1007/978-3-642-19953-0_6
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