WikiOnto: A system for semi-automatic extraction and modeling of ontologies using Wikipedia XML corpus
|WikiOnto: A system for semi-automatic extraction and modeling of ontologies using Wikipedia XML corpus|
|Author(s)||De Silva L., Jayaratne L.|
|Published in||ICSC 2009 - 2009 IEEE International Conference on Semantic Computing|
|Keyword(s)||Ontology, Ontology extraction, Ontology modeling, Wikipedia XML corpus (Extra: Extracting ontologies, Knowledge basis, Machine-learning, Modeling environments, Natural language processing, Ontology Extraction, Ontology modeling, Semi-automatics, Semi-structured documents, Wikipedia, Wikipedia XML corpus, Computational linguistics, Markup languages, Natural language processing systems, Semantics, Software agents, XML, Ontology)|
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WikiOnto: A system for semi-automatic extraction and modeling of ontologies using Wikipedia XML corpus is a 2009 conference paper written in English by De Silva L., Jayaratne L. and published in ICSC 2009 - 2009 IEEE International Conference on Semantic Computing.
This paper introduces WikiOnto: a system that assists in the extraction and modeling of topic ontologies in a semi-automatic manner using a preprocessed document corpus of one of the largest knowledge bases in the world - the Wikipedia. Based on the Wikipedia XML Corpus, we present a three-tiered framework for extracting topic ontologies in quick time and a modeling environment to refine these ontologies. Using Natural Language Processing (NLP) and other Machine Learning (ML) techniques along with a very rich document corpus, this system proposes a solution to a task that is generally considered extremely cumbersome. The initial results of the prototype suggest strong potential of the system to become highly successful in ontology extraction and modeling and also inspire further research on extracting ontologies from other semi-structured document corpora as well.
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