Semantic Labeling of Data by Using the Web

The Web consists of a large amount of unstructured information that hardly can be elaborated by automatic agents. In recent years, a considerable number of techniques for information extraction from Web resources have been proposed. In particular, while many different approaches have been devised to automatically identify the structure of the data in a document (f.i. Named Entity Recognition, Part Of Speech tagging), few systems exist to assign the semantics to such data. This fact limits significantly the use of these systems in data integration since a human intervention for labeling the extracted entities is required. Once these data have been semantically labeled, in fact, they can be used to fill databases, to build lexicons and to provide additional attributes for document categorization or clustering tasks. This paper proposes an evolution of the system for automatically categorizing terms or lexical entities presented in [5]. We added a submodule for multi-labels classifica...

• Type: Conference
• Year: 2006
• Where: IAT
• Authors: Leonardo Rigutini, Ernesto Di Iorio, Marco Ernandes, Marco Maggini
• Keywords: Considerable Number, IAT 2006, Intelligent Agent, Named Entity Recognition, Part Of Speech