MRD: A Mashup Resource Discovery Approach Applying Semantics Indexing

Author

Li, Changbao ; Cheng, Bo ; Chen, Junliang ; Gu, Pingli ; Deng, Na ; Li, Desheng

Author_Institution

State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2011

fDate

5-9 June 2011

Firstpage

1

Lastpage

6

Abstract

The mashup is a hot research topic in recent years. In this paper, we propose an efficient Mashup Resource Discovery(MRD) approach to facilitating mashup searching. Basing on an index library, MRD acts high performance in response time. By an external ontology base and a synonym base, we apply a semantics discovery, avoiding semantics annotation in mashup description files. By evaluating the prestige of mashups(especially for mashup api), we rank the results and make mashups with high prestige get higher ranking. The experimental evaluation shows that our MRD act high performance both in time consuming and r-p curve statistics.

Keywords

dictionaries; indexing; information retrieval; ontologies (artificial intelligence); semantic Web; statistical analysis; external ontology base; index library; mashup description file; mashup resource discovery; mashup searching; r-p curve statistics; semantics annotation; semantics indexing; synonym base; Indexing; Mashups; Mobile communication; Ontologies; Semantics;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (ICC), 2011 IEEE International Conference on

Conference_Location

Kyoto

ISSN

1550-3607

Print_ISBN

978-1-61284-232-5

Electronic_ISBN

1550-3607

Type

conf

DOI

10.1109/icc.2011.5962809

Filename

5962809