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- item-1 hasContent claudio-giuliano.
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- item-2 hasContent alfio-massimiliano-gliozzo.
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- 34 creator david-robertson.
- 34 creator wamberto-vasconcelos.
- 34 creator xi-bai.
- 34 type InProceedings.
- 34 label "OKBook: Peer-to-Peer Community Formation".
- 34 sameAs 34.
- 34 abstract "Many systems exist for community formation in extensions of traditional Web environments but little work has been done for forming and maintaining communities in the more dynamic environments emerging from {\it ad hoc} and peer-to-peer networks. This paper proposes an approach for forming and evolving peer communities based on the sharing of choreography specifications (interaction models). Two mechanisms for discovering interaction models and collaborative peers are presented based on a meta-search engine and dynamic peer grouping algorithm respectively. OKBook, a system allowing peers to publish, discover and subscribe/unsubscribe to interaction models, has been implemented in accordance with our approach. For the meta-search engine, a strategy for integrating and re-ranking search results obtained from Semantic Web search engines is also described. This allows peers to discover interaction models from their group members, thus reducing the burden on the meta-search engine. Our approach complies with principles of Linked Data and is capable of both contributing to and benefiting from the Web of data.".
- 34 hasAuthorList authorList.
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- 34 keyword "choreography".
- 34 keyword "linked data".
- 34 keyword "microdata".
- 34 keyword "peer to peer".
- 34 keyword "service discovery".
- 34 title "OKBook: Peer-to-Peer Community Formation".
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- 4 creator daniel-krause.
- 4 creator fabian-abel.
- 4 creator ricardo-kawase.
- 4 type InProceedings.
- 4 label "The Impact of Multifaceted Tagging on Learning Tag Relations and Search".
- 4 sameAs 4.
- 4 abstract "In this paper we present a model for multifaceted tagging, i.e. tagging enriched with contextual information. We present TagMe!, a social tagging front-end for Flickr images, that provides multifaceted tagging functionality: It enables users to attach tag assignments to a specific area within an image and to categorize tag assignments. Moreover, TagMe! automatically maps tags and categories to DBpedia URIs to clearly define the meaning of freely-chosen words. Our experiments reveal the benefits of those additional tagging facets. For example, the exploitation of those facets significantly improves the performance of FolkRank-based search. Further, we demonstrate the benefits of TagMe! tagging facets for learning semantics within folksonomies.".
- 4 hasAuthorList authorList.
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- 4 keyword "Faceted Tagging".
- 4 keyword "Learning Semantics".
- 4 keyword "Search and Ranking".
- 4 keyword "Semantic Web".
- 4 keyword "Spatial Tagging".
- 4 title "The Impact of Multifaceted Tagging on Learning Tag Relations and Search".
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- item-1 hasContent fabian-abel.
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- 5 creator alain-barrat.
- 5 creator ciro-cattuto.
- 5 creator harith-alani.
- 5 creator martin-szomszor.
- 5 creator wouter-van-den-broeck.
- 5 type InProceedings.
- 5 label "Semantics, Sensors, and the Social Web: The Live Social Semantics experiments".
- 5 sameAs 5.
- 5 abstract "The Live Social Semantics is an innovative application that encourages and guides social networking between researchers at conferences and similar events. The application integrates data and technologies from the semantic web, online social networks, and a face-to-face contact sensing platform. It helps researchers to find like-minded and influential researchers, to identify and meet people in their community of practice, and to capture and later retrace their real-world networking activities at conferences. The application was successfully deployed at two international conferences, attracting more than 300 users in total. This paper describes this application, and discusses and evaluates the results of its two deployments.".
- 5 hasAuthorList authorList.
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- 5 keyword "social semantics".
- 5 keyword "tagging".
- 5 keyword "user interests".
- 5 title "Semantics, Sensors, and the Social Web: The Live Social Semantics experiments".
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- item-1 hasContent martin-szomszor.