Paper Info
Title
Swirrsm: a Manufacturing Resource Discovery and Ranking System
Abstract
Internet-based manufacturing can greatly improve the efficiency of collaboration between enterprises and exploit more of the resource for legitimate use, so it is valuable for both the improvement of new product development and reduction of cost. With the augment of the resources and services, it's become difficult to find what a user wants using a key word based method. Semantic Web is a useful tool for resource and service sharing. We present a framework for manufacturing resource and service discovery, and give a method to ranking the search results semantically.
Year
DOI
Venue
2007
10.1109/CSCWD.2007.4281554
CSCWD
Keywords
Field
DocType
ranking,ontology,enterprise collaboration,manufacturing resource discovery,key word based method,service discovery,information retrieval,service sharing,product development,semantic web,manufacture resource discovery,resource sharing,ontologies (artificial intelligence),internet-based manufacturing,manufacturing resources planning,ranking system,swirrsm,cost reduction,ontologies,internet,engineering drawings,computer aided manufacturing,web services,owl,new product development
Computer-aided manufacturing,Computer science,Knowledge management,Semantic Web,Shared resource,Service discovery,Web service,Cost reduction,New product development,The Internet
Conference
ISBN
Citations 
PageRank 
1-4244-0963-2
0
0.34
References 
Authors
12
3
Name
Order
Citations
PageRank
Liu Fang110.73
Ming Cai222.12
Jinxiang Dong331165.36