Abstract
In this paper, we investigate the problem of supporting keyword-based searching for the discovery of software resources that are installed on the nodes of largescale, federated Grid computing infrastructures. We address a number of challenges that arise from the unstructured nature of software and the unavailability of software-related metadata on Grid sites.We presentMinersoft, a Grid harvester that visits Grid sites, crawls their file-systems, identifies and classifies software resources, and discovers implicit associations between them. The results of Minersoft harvesting are encoded in a weighted, typed graph, named the Software Graph. A number of IR algorithms are used to enrich this graph with structural and content associations, to annotate software resources with keywords, and build inverted indexes to support keyword-based searching for software. Using a real testbed, we present an evaluation study of our approach, using data extracted from a production-quality Grid infrastructure. Experimental results show that our approach achieves high search efficiency.
Original language | English |
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Title of host publication | Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009 |
Pages | 482-489 |
Number of pages | 8 |
Volume | 1 |
DOIs | |
Publication status | Published - 2009 |
Externally published | Yes |
Event | 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009 - Milano, Italy Duration: 15 Sept 2009 → 18 Sept 2009 |
Conference
Conference | 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009 |
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Country/Territory | Italy |
City | Milano |
Period | 15/09/09 → 18/09/09 |