Effective keyword search for software resources installed in large-scale Grid infrastructures
Ημερομηνία
2009ISBN
978-0-7695-3801-3Source
Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 20092009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009
Volume
1Pages
482-489Google Scholar check
Keyword(s):
Metadata
Εμφάνιση πλήρους εγγραφήςΕπιτομή
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. © 2009 IEEE.