Wikimeta Project’s Evolution Includes Commercial Ambitions and Focus On Text-Mining, Semantic Annotation Robustness
Wikimeta, the semantic tagging and annotation architecture for incorporating semantic knowledge within documents, websites, content management systems, blogs and applications, this month is incorporating itself as a company called Wikimeta Technologies. Wikimeta, which has a heritage linked with the NLGbAse project, last year was provided as its own web service.

Dr. Eric Charton, Ph.D, MSc at École Polytechnique de Montréal, is project leader and author of the Wikimeta code. The NLGbAse project was conducted by Charton at the University of Avignon as part of his Ph.D. Thesis. The Semantic Web Blog recently hosted an email discussion with him to learn more about the Wikimeta architecture and its evolution.
The Semantic Web Blog: Tell us about the NLGBase project and Wikimeta’s relationship to it.
Charton: NLGbAse is an ontology extracted from Wikipedia. It is used in Wikimeta as a resource for semantic disambiguation. For each Wikipedia document (aka Semantic Concept), NLGbAse provides various ways of word-writing (for example, “General Motors” can be written “GM Company”, “GM”, “General Motors Corp” and so on), used for detection.

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I often read blogs and watch conference presentations extolling the virtues and benefits of adopting Semantic Web and Linked Data techniques & technologies. It makes me wonder how those new to the field ever get through the blizzard of acronyms and techno-speak, to understand what is being promoted and how it might be relevant to them and their business. In this post I will attempt to demystify and identify the core benefits of Linked Data without burying you in LD-speak!
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