CODer Entrepreneurs: How Entrepreneurs can benefit from a Dynamic Social Semantic Tagging System
Autor: | Saman Kamran, Mehdi Jazayeri, Tahsin Ettefagh |
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Rok vydání: | 2016 |
Předmět: |
060201 languages & linguistics
Commonsense knowledge Computer science Bookmarking media_common.quotation_subject 06 humanities and the arts 02 engineering and technology Ontology (information science) World Wide Web Perception 0602 languages and literature 0202 electrical engineering electronic engineering information engineering Identity (object-oriented programming) 020201 artificial intelligence & image processing Web content Representation (mathematics) Tag system media_common |
Zdroj: | CSCW Companion |
DOI: | 10.1145/2818052.2869116 |
Popis: | Tagging (or bookmarking) online resources with representative keywords is one of the most popular and practical approaches for giving identity to the objects. Human taggers in social tagging systems give identity to the objects. Tagged objects also represent the perception or identity of their human taggers in return. Although users' interest and their perception about Web content might change over time, most current approaches define a fixed identity for the objects. These approaches always recommend objects to the users based on their fixed, defined identities since they use a source of knowledge that does not evolve. In our social semantic tagging system, COD (Collaborative Ontology Development), we update identities of the users and Web contents dynamically based on the latest collective opinion of the evolving communities of relevant users [1]. In this poster, we present how entrepreneurs can define a reliable representation of their commonsense knowledge about different entrepreneurial entities by using COD. CODer Entrepreneurs in the automatically formed communities can dynamically improve identity of the entrepreneurial objects related to their expertise or interests. |
Databáze: | OpenAIRE |
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