Abstract
This talk highlights the past, present and future of semantic computing that brings together those disciplines concerned with connecting the (often vaguely-formulated) intentions of humans with computational content. This connection can go both ways: retrieving, using and manipulating existing content according to user’s goals (“do what the user means”); and creating, rearranging, and managing content that matches the author’s intentions (“do what the author means”).
The content addressed in SC includes, but is not limited to, structured and semi-structured data, multimedia data, text, programs, services and, even, network behavior. This connection between content and the user is made via (1) Semantic Analysis, which analyzes content with the goal of converting it to meaning (semantics); (2)Semantic Integration, which integrates content and semantics from multiple sources; (3)Semantic Applications, which utilize content and semantics to solve problems; and (4)Semantic Interfaces, which attempt to interpret users’ intentions expressed in natural language or other communicative forms.
The field Semantic Computing applies technologies in natural language processing, data and knowledge engineering, software engineering, computer systems and networks, signal processing and pattern recognition, and any combination of the above to extract, access, transform and synthesize the semantics as well as the contents of multimedia, texts, services and structured data.
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© 2008 IFIP International Federation for Information Processing
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Sheu, P.CY. (2008). Semantic Computing. In: Shi, Z., Mercier-Laurent, E., Leake, D. (eds) Intelligent Information Processing IV. IIP 2008. IFIP – The International Federation for Information Processing, vol 288. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-87685-6_1
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DOI: https://doi.org/10.1007/978-0-387-87685-6_1
Publisher Name: Springer, Boston, MA
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