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The large-scale ontologies are more and more widely used in various fields, some ontologies even have evolved through a number of versions. There is an increasing need for finding a set of metrics to analyze ontology systematically. In this paper, inspired by the concept of ontology metrics at the ontology-level and the class-level, we expand ontology metrics to the property-level and choose well-known...
Data management has become a critical challenge faced by a wide array of scientific disciplines in which the provision of sound data management is pivotal to the achievements and impact of research projects. Massive and rapidly expanding amounts of data combined with data models that evolve over time contribute to making data management an increasingly challenging task that warrants a rethinking of...
The current Semantic Web ontology language has been designed to be both expressive for specifying complex concepts and decidable for automated reasoning. In recent years, the Semantic Web Rules Language has been proposed to add more expressiveness to the family of ontology languages. However the inclusion of rules has created new challenges of not only verifying the consistency of an ontology, but...
Semistructured data has become more and more prominent in the fast growing areas of web information technology. XML has been used as a standard format for semistructured data in representing and exchanging information in various applications. However, the lack of formality and verification support in the design of a good semistructured data model may hinder its development. For example, redundant...
Semantic inferencing and querying across large-scale RDF triple stores is notoriously slow. Our objective is to expedite this process by employing Google's MapReduce framework to implement scale-out distributed querying and reasoning. This approach requires RDF graphs to be decomposed into smaller units that are distributed across computational nodes. RDF Molecules appear to offer an ideal approach...
Feature models are widely used in domain engineering to capture common and variant features among systems in a particular domain. However, the lack of a formal semantics and reasoning support of feature models has hindered the development of this area. Industrial experiences also show that methods and tools that can support feature model analysis are badly appreciated. Such reasoning tool should be...
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