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A successfully repeated use case for Semantic Web technologies is Ontology-Based Data Access for data integration. In this approach, an ontology serves as a uniform conceptual federating model, which is accessible to both IT developers and business users. Here, two challenges for developing an OBDA system are considered: ontology and mapping engineering, along with a pay-as-you-go methodology that...
In knowledge society organizations as well as individuals publish relevant data about themselves in the Web. However, still most Web content is only suitable for human consumption. It is not machine-understandable. In this paper, we have restricted ourselves on publishing machine-understandable competence-oriented data in the Web. Such data allows the development of new and more strengthen solutions...
To make IETM (interactive electronic technical manual) contents understandable to machine and suitable for inference, ontology needs to be established, and the IETM contents should be annotated with metadata which are defined as terminology in ontology. The relation between ontology and IETM domain ontology is explained; the overview of ontology languages for the semantic Web is introduced; based...
Ontologies in the Software Engineering domain can improve the acquisition of knowledge in this field by providing a formal representation of this knowledge domain. When encoded in a XML-based format, ontologies can therefore be easily processed by a knowledge management system, an expert system or a browser so it is possible to facilitate the location of Software Engineering resources in repositories...
In this paper we explore the properties of description indices that store concept descriptions rather than plain data. Although these novel data structures are beneficial for efficiently answering semantic web queries, expressed in a language such as nRQL or SPARQL-DL, they take extra storage and their maintenance can become a performance bottleneck. In order to alleviate these shortcomings, we introduce...
One of the challenges of healthcare data processing, analysis and warehousing is the integration of data gathered from disparate and diverse data sources. Promoting the adoption of worldwide accepted information standards along with common terminologies and the use of technologies derived from semantic Web representation, is a suitable path to achieve that. To that end, the HL7 V3 reference information...
Exploring the metadata associated with documents in the semantic Web is a way to increase the precision of information retrieval systems. Systems have been established so far failed to overcome fully the limitations of search based on keywords. Such systems are built from variations of classic models that represent information by keywords and work upon statistical correlations. This work proposes...
In Biomedicine, provision of high-quality knowledge in terms of terminologies and consistent cross-references is a cornerstone for information retrieval, information extraction, text mining and federation of data repositories. Since the late 90 s we have been building knowledge resources to support these tasks. Over the years, we have gathered valuable experience by running various applications and...
Statistical graphs are ubiquitous mechanisms for data visualization such that most, if not all, enterprises communicate information through them. However, many graphs are stored as unstructured images or proprietary binary objects, making them difficult to work with beyond the reports in which they are embedded. While graphs can be mapped to more common XML representations, these lack expressive semantics...
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