Klampanos, I.A. and Jose, J.M. (2013) Searching in peer-to-peer networks. Computer Science Review, 6(4), pp. 161-183. (doi: 10.1016/j.cosrev.2012.07.001)
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Abstract
As peer-to-peer networks are proving capable of handling huge volumes of data, the need for effective search tools is lasting and imperative. During the last years, a number of research studies have been published, which attempt to address the problem of search in large, decentralized networks. In this article, we mainly focus on content and concept-based retrieval. After providing a useful discussion on terminology, we introduce a representative sample of such studies and categorize them according to basic functional and non-functional characteristics. Following our analysis and discussion we conclude that future work should focus on information filtering, re-ranking and merging of results, relevance feedback and content replication as well as on related user-centric aspects of the problem.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Jose, Professor Joemon |
| Authors: | Klampanos, I.A., and Jose, J.M. |
| Subjects: | Q Science > Q Science (General) |
| College/School: | College of Science and Engineering > School of Computing Science |
| Research Group: | Information retrieval |
| Journal Name: | Computer Science Review |
| Publisher: | Elsevier |
| ISSN: | 1574-0137 |
| ISSN (Online): | 1876-7745 |
| Published Online: | 23 July 2012 |
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