Resolving Data Heterogeneity Issues in Open Distributed Communication Middleware

Abstract

Triple Space Computing is a communication and coordination paradigm that allows communication of semantic technologies in general, by publish and read of semantic data. It has also been provided as an underline communication middleware for Semantic Web Services. While focusing on scalability and openness of Triple Space Computing to bring it into its full potential in a global view, the possibility of heterogeneity among different users communicating over Triple Space is very likely to arise. This paper focuses on providing the Triple Space Computing with data mediation to enable easy integration of data, information, and knowledge. Mediation is a technique to overcome heterogeneity issues in a system, i.e. to remove differences in the syntactic representation and the intended semantics of data that is exchanged [2]. The paper introduces an Abstract Mapping Language and shows how mapping rules can be created using this mapping language. It further proposes mediation APIs for users and internal system. It also explains the grounding of mediation mapping rules to Triple Space. It further provides a refined version of architecture of the mediation engine along with its bindings with other components of Triple Space Computing paradigm.

Information Spaces as a Basis for Personalising the Semantic Web

“…Identification of larger meaningful structures such as RDF molecules (Ding et al, 2005) provide at this time the strongest basis for provenance analysis and addressing deeper semantically meaningful structures. In the most part we must rely upon local convention between any two merging or interacting spaces with the hope that this leads to a more global convention (Afraz Jaffri, 2008;Shafiq et al, 2008).…”

Context Gathering in Meetings: Business Processes Meet the Agents and the Semantic Web

“…How larger structures are mapped together or made equivalent beyond the above syntactic methods is open for development [22]. Techniques based upon semantic similarity in the linguistic sense probably provide the most reasonable method for performing this matching [23,24].…”

Personal Semantic Web Through A Space Based Computing Environment

“…One of the barriers to interoperability is that different devices apply different formats of information in order to understand information. Technologies such as XML, RDF, OWL etc provide methods allowing us to focus on the semantics of the information rather than the syntactical representation [6,21]. Organising communication between these devices and the applications that run on these devices is known to be hard [2].…”