Ontology querying and its software component for design support in supply chains.
ABSTRACT Effective support of product design stage in the supply chain is important for raising the competitive power of a company. Existing technology for design support of supply chain has limitations on managing semantic data and handling logical operations, which agents will use for their intelligent and autonomous activities. In this paper, we suggest an ontology querying mechanism and software component for it, based on the supply chain network, for the agentý s intelligent activities. This querying engine can service several operations, including reasoning and logical functions, together with the ontology of the specified domain of product attributes and its instance data. We defined operators to provide the necessary ontology query according to the operation category in the domain of design support in SCM, which will be provided as several interfaces in the form of server side components and Web service. Finally, we explain the meaning of our querying system, comparing with the early version and other querying systems.
SourceAvailable from: Incheon Paik[Show abstract] [Hide abstract]
ABSTRACT: Existing methodologies to increase the efficiency of design of supply chain management (SCM) processes consider cost, quality, function, and technology attributes of products separately. However, there is no integrated information infrastructure to consider these attributes together. We have devised new table structures to combine the four attributes and their relationships organically. Simple ontology concepts for this information infrastructure were introduced, considering the supply chain tree and the structure of attribute–relationship tables, with some restrictions from a general ontology for the semantic Web. Basic database schemas using the designed ontology were created for the information infrastructure for SCM collaboration. A software component architecture that provides interface services to clients and other business logic in future semantic Web services was also developed, based on this information infrastructure and using the component-based software development (CBSD) methodology. We built Servlet classes for Web presentation, and used Enterprise JavaBeans (EJB), Entity Beans and Session Beans for business logic. Examp les to demonstrate our information infrastructure are also described. Experiments using the three platforms provide performance data that show the capability of our server-side software component system.Journal of Organizational Computing and Electronic Commerce 01/2005; 15(2). DOI:10.1207/s15327744joce1502_2 · 0.47 Impact Factor
Conference Paper: On Querying Ontologies and Databases.[Show abstract] [Hide abstract]
ABSTRACT: This paper concerns the motivation for and subsequently the analysis of proposed additions, in the form of new operators, to a concept language Ontolog for use in querying a content-based text retrieval system. The expressiveness of the proposed query language introduces the possibility for querying both objects in the base but also mechanisms for direct querying of the ontology, and it furthermore enables the end- user to tailor the evaluation principle of the system by in∞uencing query expansion in the ontology.Flexible Query Answering Systems, 6th International Conference, FQAS 2004, Lyon, France, June 24-26, 2004, Proceedings; 01/2004