Overview of a semantic disambiguation method for unstructured web contexts

In this paper we give an overview of a multiontology disambiguation method, targeted to discover the intended meaning of words in unstructured web contexts. It receives an ambiguous keyword and its context words as input and provides a list of possible senses for the keyword, scored according to the probability of being the intended one. It accesses any pool of online ontologies as source of word senses, in addition to other available resources. This method is targeted to be used in unstructured contexts that lack well-formed sentences, such as user keywords or folksonomy tags. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval; I.2.4 [Artificial Intelligence]: Knowledge Representation Formalisms and Methods General Terms Algorithms Keywords Semantic Web, knowledge selection, disambiguation

• Type: Conference
• Year: 2009
• Where: KCAP
• Authors: Jorge Gracia, Eduardo Mena
• Keywords: Information Retrieval, KCAP 2009, Knowledge Representation Formalisms And Methods, Multiontology Disambiguation Method, Unstructured Web Contexts