DR-BROKERING: A semantic brokering system

Semantic Inference on Heterogeneous E-Marketplace Activities

“…Semantic inference on activities generally involves three important components of facts, logic, and rules as existing research [1], [4], [16], [54]. Within the three components, how to compose facts and rules is the key to semantic inference.…”

“…Semantic inference has been investigated in many areas, including logical systems [23], [47], [59], databases (DBs) [45], knowledge representation [10], [42], [46], semantic network [10], [38], [46], machine translation [53], semantic Web [1], [58], and e-business [4], [6]. The semantic inference on heterogeneous e-marketplace activities is in the scope of interdisciplinary study of the aforementioned areas, and its key research issues are inferability [14] and accuracy [35] caused by the noninteroperability of those concept sets used in the heterogeneous enterprise systems of the underlying open world.…”

“…There is an extensive e-marketplace literature on semantic inference that includes several comprehensive studies [1], [4], [6], [13], [16], [54], [55]. In addition, there is ample research work on the classification of inference engine [34], [39], [49].…”

Collaboration role in semantic integration for electronic marketplace

“…The latter introduces the mediator concept (Linche and Schmid, 1998) as an integrated catalogue to mediate the distributed catalogues through a merger called Q-Calculus (i.e., a common product description frame, which is a formal language for description and classification of objects). Modern automated mediation approach often applies technologies of multi-agent systems (e.g., Dani et al, 2007;Gates and Nissen, 2001) and ontology systems (e.g., w3.org/TR/owl-ref/) to construct an e-marketplace as a matchmaking system (e.g., Noia et al, 2003;Veit, 2004) or a brokering system (e.g., Antoniou et al, 2007;Du et al, 2004;Hämäläinen et al, 1996;Segev and Beam, 1999) between various e-business systems. However, mediation systems based on agent and ontology technologies have a serious problem such that the new system is still domain-wide and the activity inference must have fully supported rules, otherwise the semantic consistency cannot be maintained between heterogeneous systems.…”

“…The paper by Omelayenko and Fensel (2001) researched the standard integration approach to integrate business documents between xCBL (xcbl.org) and cXML (cxml.org), and the paper by Antoniou et al (2007) developed brokering systems to intelligently mediate heterogeneous systems through OWL-based ontology. Nevertheless, while the importance of semantic integration is confirmed, the specific tasks and methods of semantic integration are not well known and elaborated.…”