%0 Conference Proceedings
%T Semantic-Aware Mashups for Personal Resources in SemanticLIFE and SocialLIFE
%+ Vienna University of Technology = Technische Universität Wien (TU Wien)
%A Vo, Sao-Khue
%A Anjomshoaa, Amin
%A Tjoa, A., Min
%Z Part 1: Cross-Domain Conference and Workshop on Multidisciplinary Research and Practice for Information Systems (CD-ARES 2014): Mobile and Social Computing
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B International Cross-Domain Conference and Workshop on Availability, Reliability, and Security (CD-ARES)
%C Fribourg, Switzerland
%Y Stephanie Teufel
%Y Tjoa A Min
%Y Ilsun You
%Y Edgar Weippl
%I Springer
%3 Availability, Reliability, and Security in Information Systems
%V LNCS-8708
%P 138-154
%8 2014-09-08
%D 2014
%R 10.1007/978-3-319-10975-6_10
%K Semantic Desktop
%K Semantic Web
%K Social Networks
%K Linked Data
%K Linked Data Services
%K Semantic Mashup
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X SemanticLIFE is a Semantic Desktop system, which deals with the personal lifetime data. However, SemanticLIFE is limited to local storage, which is an isolated data repository. In the recent years, people have the tendency to share their resources, which are not only stored locally on their personal computers, but also hosted on social networking sites (SNSs). We propose and use the term ‘SocialLIFE’ to denote one’s lifetime information in SNSs, in which personal resources are his/her activities, interests, and related connections. In this paper, we also propose a mashup language and a semantic-based mashup framework. The final goal of this research is to provide a semantic-based way for bridging the gap between SemanticLIFE and SocialLIFE in order to integrate and reuse existing personal resources of existing applications such as information resources of Semantic Desktops and SNSs. The proposed mashup system also aims to supports non-expert users to create data mashups based on semantic-aware mashup dataflow.
%G English
%Z TC 5
%Z TC 8
%Z WG 8.4
%Z WG 8.9
%2 https://inria.hal.science/hal-01403991/document
%2 https://inria.hal.science/hal-01403991/file/978-3-319-10975-6_10_Chapter.pdf
%L hal-01403991
%U https://inria.hal.science/hal-01403991
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-LNCS-8708
%~ IFIP-CD-ARES
%~ IFIP-WG8-4
%~ IFIP-WG8-9