Information sharing through rational links and viewpoint retrieval

Authors:
Bicheng Liu;David J. Harper;Stuart Watt
Affiliations:
The Robert Gordon University, Aberdeen, United Kingdom;The Robert Gordon University, Aberdeen, United Kingdom;The Robert Gordon University, Aberdeen, United Kingdom
Venue:
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2005

Citing 3
Cited 0

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Analysis of papers from twenty-five years of SIGIR conferences: what have we been doing for the last quarter of a century?

ACM SIGIR Forum
Supporting federated information sharing communities

Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

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Abstract

In this paper we present the concept of Federated Information Sharing Communities (FISC), which leverages organisational and social relationships with document content to provide community-centred information sharing and communication environments. Prominence is given to capabilities that go beyond the generic retrieval of documents to include the ability to retrieve people, their interests and inter-relationships. We focus on providing social awareness "in the large" to help users understand the members within community and the relationships between them. Within the FISC framework, we provide viewpoint retrieval to enable a user to construct member-specific view(s) of the community, based on their various topic interests. As proof of concept, we present the first FISC prototype based on the twenty-five year SIGIR collection and examples of operational results.