Managing time-stamped data is essential to clinical research activities and often requires the use of considerable domain knowledge. Adequately representing and integrating temporal data and domain knowledge is difficult with the database technologies used in most clinical research systems. There is often a disconnect between the database representation of research data and corresponding domain...

In this paper we consider the most common ABox reasoning services for the description logic DL〈4LQS〉(D) (DL D , for short) and prove their decidability via a reduction to the satisfiability problem for the set-theoretic fragment 4LQS. The description logic DL D is very expressive, as it admits various concept and role constructs, and data types, that allow one to represent rule-based languages ...

In this article we present the structure and an outline of the content of the LKIF-Core. LKIF is an interchange format for legal knowledge, under development in Estrella, a 6th framework European project. One of the layers of LKIF consists of a combination of the OWL-DL/SWRL knowledge representation languages in which LKIF-Core is written. LKIF-Core contains an ontology that has definitions of ...

Ontology specifies the concepts of a domain and their semantic relationships. It is widely used for solving the information heterogeneity problems on the web because of their capability to provide explicit meaning to the information. Different ontologies are created by developer for a same domain. To solve the heterogeneity problem among the specific domain several matching strategies are desig...

We describe a reasoner for OWL ontologies and SWRL policies used on cognitive radios to control dynamic spectrum access. In addition to rules and ontologies, the reasoner needs to handle user-defined operations (e.g., temporal and geospatial). Furthermore, the reasoner must perform sophisticated constraint simplification because any unresolved constraints can be used by a cognitive radio to pla...

E-learning refers to the use of electronic technologies to deliver and facilitate training anytime, anyplace. The major challenge in e-learning is that the learner is unable to extract relevant information on the web. Ontology-based semantic retrieval is a hotspot of current research. Ontologies play an important role in the development of knowledge. This paper proposes ontology based semantic ...

Chronic diseases patients often require constant dietary control that involves complicated interaction among factors such as the illness stage, the patient's physical condition, the patient's activity level, the amount of food intake, and key nutrient restrictions. This study aims to integrate multiple knowledge sources for problem solving modeling and knowledge-based system (KBS) development. ...

The ability to answer temporal-oriented questions based on clinical narratives is essential to clinical research. The temporal dimension in medical data analysis enables clinical researches on many areas, such as, disease progress, individualized treatment, and decision support. The Semantic Web provides a suitable environment to represent the temporal dimension of the clinical data and reason ...

In mobile geoinformation services, most intelligent systems ignore the users’ states and roles and only include the user's location. However, different user profiles need customized visualization styles in order to provide relevant spatial data. With the availability of a variety of data sources and the ability for continuous data updates, the service is able to perceive and react to instant ch...

Infraworld is an experimental framework for Computer Aided Engineering (CAE) systems which is designed for distributed design. The framework is based on Multi-agent systems that allow engineers to synchronize their work by keeping track of their changes and facilitating the detection and management of semantic conflicts that arise when different actors are working in parallel. Conflicts are det...