Automatic semantic web annotation of named entities
|Automatic semantic web annotation of named entities|
|Author(s)||Charton E., Gagnon M., Ozell B.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||Unknown (Extra: ITS architecture, Linked datum, Named entities, Semantic annotations, Similarity measure, Web annotation, Wikipedia, Algorithms, Artificial intelligence, Computer vision, Intelligent robots, Natural language processing systems, Semantics, User interfaces, Websites, Semantic Web)|
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Automatic semantic web annotation of named entities is a 2011 conference paper written in English by Charton E., Gagnon M., Ozell B. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
This paper describes a method to perform automated semantic annotation of named entities contained in large corpora. The semantic annotation is made in the context of the Semantic Web. The method is based on an algorithm that compares the set of words that appear before and after the name entity with the content of Wikipedia articles, and identifies the more relevant one by means of a similarity measure. It then uses the link that exists between the selected Wikipedia entry and the corresponding RDF description in the Linked Data project to establish a connection between the named entity and some URI in the Semantic Web. We present our system, discuss its architecture, and describe an algorithm dedicated to ontological disambiguation of named entities contained in large-scale corpora. We evaluate the algorithm, and present our results.
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