Towards lightweight semantic metadata annotation and management for enterprise services

One of the principles of managing structured knowledge of an application domain is to exploit the notion of an ontology. Generalization of knowledge entities using formal semantic metadata enables classification and structuring of knowledge for better metadata management. Classification serves to form conceptual hierarchy of ontologies to reflect relationships among entities in the domain semantically while structuring helps to position vertical domain generalizations in appropriate relationships horizontally. We present a novel approach for conceptualization of enterprise application information in such a hierarchy to structure knowledge in abstract and domain specific ontologies in RDFS forming reusable knowledge bases. We overcome conceptualization complexities in filigree enterprise information models by focusing on essential aspects of data types and their semantics to align relationship for business objects, enterprise data types and semantic entities with pragmatic consideration on a lightweigt semantic information model to maximize flexibility and inferential efficiency service query answering as well as reuse of structured knowledge artifacts. -- Semantic web ; enterprise metadata ; knowledge management ; service oriented computing ; lightweigt semantic enterprise service ; lightweight metadata for enterprise services ; ERP services ; SAP enterprise services (ES)