The Web Knowledge Management: A Taxonomy-Based Approach

• Published in: Knowledge Discovery, Knowledge Engineering and Knowledge Management Vol. 454; pp. 230 - 244
• Main Authors: Pani, Filippo Eros, Lunesu, Maria Ilaria, Concas, Giulio, Baralla, Gavina
• Format: Book Chapter
• Language: English
• Published: Germany Springer Berlin / Heidelberg 2015; Springer Berlin Heidelberg
• Series: Communications in Computer and Information Science
• Subjects: Artificial intelligence; Data mining; Information retrieval; Knowledge base; Knowledge management; Multimedia content; Ontology; Semantic web; Taxonomy
• ISBN: 3662465485; 9783662465486
• ISSN: 1865-0929; 1865-0937
• DOI: 10.1007/978-3-662-46549-3_15

The structure of the Web grows and changes, giving the user the chance to actively participate in its development. This study tries to link the worlds of Social Media and Semantic Web, with the aim of proposing a semantic classification of the information coming from the Web. Our approach consists in a mixed-iterative process, where top-down and bottom-up analyses of the knowledge domain which has to be represented are applied. We start from the concept of the domain knowledge base. The fundamental body of knowledge available on a domain is the knowledge valuable for knowledge users. We need to represent and manage this knowledge, to define a formalization and codification of knowledge in the domain. This kind of representation was created according to the criteria by which information, in a given domain, is structured within the net, by taking the hierarchy proposed in different sites as a reference.