DocumentCode
658403
Title
Enabling Scalable Multi-channel Communication through Semantic Technologies
Author
Toma, Ioan ; Fensel, Dieter ; Gagiu, Andreea-Elena ; Stavrakantonakis, Ioannis ; Fensel, Anna ; Leiter, Birgit ; Thalhammer, Andreas ; Larizgoitia, Iker ; Garcia, Juan Manuel
Author_Institution
STI Innsbruck, Univ. of Innsbruck, Innsbruck, Austria
Volume
1
fYear
2013
fDate
17-20 Nov. 2013
Firstpage
591
Lastpage
596
Abstract
With the rapid development of the Web in the direction Social Media, the number of communication possibilities has increased exponentially, bringing new challenges and opportunities for companies to build and shape their reputation online as well as to engage and maintain good relations with their customers. In this paper we describe how semantic technologies enable scalable, effective and efficient on-line communication. We propose four different ways in which semantics can be used for this purpose. First, we discuss semantic analysis of communication items based on ´classical´ semantics, such as natural language processing. Second, we look at semantics as a channel, viewing Linked Open Data vocabularies not only as terminological assets but as communication channels. Third, we demonstrate how semantics provide the methodologies and tools for content modeling by means of ontologies. Finally, we outline how semantics through semantic matchmaking enable semi-automatic assignment and distribution of content to channels and vice-versa.
Keywords
data structures; ontologies (artificial intelligence); semantic Web; social networking (online); vocabulary; content distribution; content modeling; linked open data vocabularies; online communication; ontologies; scalable multichannel communication; semantic analysis; semantic matchmaking; semantic technologies; semiautomatic assignment; Communication channels; Media; Ontologies; Semantics; Unified modeling language; Vocabulary; Weaving; multi-channel communication; semantic technologies; semantics; social media;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4799-2902-3
Type
conf
DOI
10.1109/WI-IAT.2013.82
Filename
6690070
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