Abstract
Finding relevant Web services and composing them into value-added applications is becoming increasingly important in cloud and service based marketplaces. The key problem with current approaches to finding relevant Web services is that most of them only provide searches over a discrete set of features using exact keyword matching. We demonstrate in this paper that by utilizing well known indexing scheme such as inverted file and R-tree indexes overWeb services attributes, the Earth Mover's Distance (EMD) algorithm can be used efficiently to find partial matches between a query and a database of Web services.
Original language | English |
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Title of host publication | SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval |
Place of Publication | New York, USA |
Publisher | Association for Computing Machinery |
Pages | 1251-1252 |
Number of pages | 2 |
ISBN (Print) | 9781450322591 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australia Duration: 6 Jul 2014 → 11 Jul 2014 |
Other
Other | 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 |
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Country/Territory | Australia |
City | Gold Coast, QLD |
Period | 6/07/14 → 11/07/14 |
Keywords
- Earth Mover's distance
- Search engine
- Web services