MUTO

作者: Steffen Lohmann , Paloma Díaz , Ignacio Aedo

DOI: 10.1145/2063518.2063531

关键词: Information retrievalCore ontologyUpper ontologyFolksonomyOpen Biomedical OntologiesProcess ontologyOntology (information science)Computer scienceRDFSemantic Web

摘要: Tagging has become a popular indexing method within the last years and can be considered one of cornerstones Social Web. Several ontologies have been developed that aim to formally describe tagging folksonomies in order improve their interoperability processability. However, each these covers different aspects domain; finding right ontology for certain purpose aligning it correctly with other is difficult. This paper critically reviews available presents unified vocabulary combines 'best of' consistent schema. A central goal was ensure high concept reuse by simultaneously avoiding redundancies. modular design chosen reduce complexity prevent inconsistencies. It groups elements separates advanced concepts from core ontology. Key decisions are justified modeling alternatives discussed, not only explain but also contribute better understanding conceptual space folksonomies.

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