Authors:
Dong Cheng
and
Nacer Boudjlida
Affiliation:
LORIA-University Henri Poincaré Nancy 1, France
Keyword(s):
Composite answer, Description Logics, Mediator, complementary.
Related
Ontology
Subjects/Areas/Topics:
B2B, B2C and C2C
;
B2C/B2B Considerations
;
Business and Social Applications
;
Cloud Computing
;
Communication and Software Technologies and Architectures
;
e-Business
;
Enterprise Information Systems
;
Semantic Web Technologies
;
Services Science
;
Society, e-Business and e-Government
;
Software Agents and Internet Computing
;
Web Information Systems and Technologies
Abstract:
The capture, the structuring and the exploitation of the expertise or the capabilities of an “object” (like a business partner, an employee, a software component, a Web site, etc.) are crucial problems in various applications, like cooperative and distributed applications or e-business and e-commerce applications. The work we describe in this paper concerns the advertising of the capabilities or the know-how of an object. The capabilities are structured and organized in order to be used when searching for objects that satisfy a given objective or that meet a given need. One of the originality of our proposal is in the nature of the answers the intended system can return. Indeed, the answers are not Yes/No answers but they may be cooperative answers in that sense that when no single object meets the search criteria, the system attempts to find out what a set of “complementary” objects do satisfy the whole search criteria, every object in the resulting set satisfying part of the criter
ia. In this approach, Description Logics (DL) is used as a knowledge representation formalism and classification techniques are used as search mechanisms. The determination of the “complementary objects” is founded on the DL complement concept.
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