dc.contributor.author |
Skoutas, D |
en |
dc.contributor.author |
Sacharidis, D |
en |
dc.contributor.author |
Kantere, V |
en |
dc.contributor.author |
Sellis, T |
en |
dc.date.accessioned |
2014-03-01T02:45:15Z |
|
dc.date.available |
2014-03-01T02:45:15Z |
|
dc.date.issued |
2008 |
en |
dc.identifier.issn |
03029743 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/32229 |
|
dc.subject |
Experimental Evaluation |
en |
dc.subject |
Indexation |
en |
dc.subject |
Overlay Network |
en |
dc.subject |
P2P |
en |
dc.subject |
Ranking Function |
en |
dc.subject |
Search Algorithm |
en |
dc.subject |
Search Engine |
en |
dc.subject |
Search Space |
en |
dc.subject |
Semantic Web |
en |
dc.subject |
Semantic Web Service |
en |
dc.subject |
Service Oriented Architecture |
en |
dc.subject |
Synthetic Data |
en |
dc.subject.other |
Information services |
en |
dc.subject.other |
Learning algorithms |
en |
dc.subject.other |
Ontology |
en |
dc.subject.other |
Search engines |
en |
dc.subject.other |
Semantic Web |
en |
dc.subject.other |
Semantics |
en |
dc.subject.other |
Web services |
en |
dc.subject.other |
World Wide Web |
en |
dc.subject.other |
Centralized architectures |
en |
dc.subject.other |
Constant times |
en |
dc.subject.other |
Experimental evaluations |
en |
dc.subject.other |
Fast selections |
en |
dc.subject.other |
Number of services |
en |
dc.subject.other |
P2P environments |
en |
dc.subject.other |
Query concepts |
en |
dc.subject.other |
Query times |
en |
dc.subject.other |
Ranking functions |
en |
dc.subject.other |
Response times |
en |
dc.subject.other |
Search Algorithms |
en |
dc.subject.other |
Search spaces |
en |
dc.subject.other |
Semantic web service discoveries |
en |
dc.subject.other |
Service descriptions |
en |
dc.subject.other |
Service-oriented architectures |
en |
dc.subject.other |
Structured p2p |
en |
dc.subject.other |
Synthetic datums |
en |
dc.subject.other |
Information theory |
en |
dc.title |
Efficient Semantic Web service discovery in centralized and P2P environments |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1007/978-3-540-88564-1-37 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/978-3-540-88564-1-37 |
en |
heal.publicationDate |
2008 |
en |
heal.abstract |
Efficient and scalable discovery mechanisms are critical for enabling service-oriented architectures on the Semantic Web. The majority of currently existing approaches focuses on centralized architectures, and deals with efficiency typically by pre-computing and storing the results of the semantic matcher for all possible query concepts. Such approaches, however, fail to scale with respect to the number of service advertisements and the size of the ontologies involved. On the other hand, this paper presents an efficient and scalable index-based method for Semantic Web service discovery that allows for fast selection of services at query time and is suitable for both centralized and P2P environments. We employ a novel encoding of the service descriptions, allowing the match between a request and an advertisement to be evaluated in constant time, and we index these representations to prune the search space, reducing the number of comparisons required. Given a desired ranking function, the search algorithm can retrieve the top-k matches progressively, i.e., better matches are computed and returned first, thereby further reducing the search engine's response time. We also show how this search can be performed efficiently in a suitable structured P2P overlay network. The benefits of the proposed method are demonstrated through experimental evaluation on both real and synthetic data. © 2008 Springer Berlin Heidelberg. |
en |
heal.journalName |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
en |
dc.identifier.doi |
10.1007/978-3-540-88564-1-37 |
en |
dc.identifier.volume |
5318 LNCS |
en |
dc.identifier.spage |
583 |
en |
dc.identifier.epage |
598 |
en |