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Work presented in this paper addresses the challenge of bringing together concepts and experiences from two different areas of computer science: context modeling and ontology matching. Current work in the field of automatic ontology matching does not take into account the context of the user during the matching process. This paper is organized as follows, (1) we introduce of the concept of “context”...
The paper discusses several issues concerning the lexicon within a psycholinguistic pragmatic model of language which takes into account both use and competence. Besides semantic information entailed in the word meaning, the lexicon also includes the semantic relations. Therefore, the logical line of research should combine the pragmatic perspective with a model of language competence and language...
Any of our living environments can form a smart space that provides services and applications for the users according to their situations, the computing and communication facilities of the environment and the surroundings of the user. The ability to take into account the context of the user, and the digital and physical environment makes a space smart. This paper introduces a set of new capabilities...
Context is important in personal knowledge and social knowledge construction process. Context awareness means being able to collect environment and learning resource information from the learner and surrounding equipment to provide learners with the context-related learning activities and content. The context elements, including intra object, inter-object, session, social systemic, economic techno-physical...
Knowledge Management (KM) plays the key role in upgrading the competitiveness of an organization, one of objectives of KM is to promote the share and reuse of all kind of knowledge. To this end, task circumstance (TC) of knowledge is crucial. Base on task circumstance, this paper proposes a framework of KM to facilitate knowledge reuse. According to the definition of domain ontology, this paper introduces...
Ontology has a very wide range of applications, however the large-scale ontologies are not easy to manage and produce redundancy during deduction. In this paper, we first analyzed how to map the OWL into Graph and summarized six relations in Modular Modeling; an extended-BFS algorithm is introduced to partition large ontology into sub-ontology according to different combination of context information...
The agility to collaborate in business networks has become essential for the success of both individual organizations and business value networks. The dynamic nature of alliances environment, the complexity of collaboration supporting in heterogeneous systems, and the autonomy of organizations all create new challenges for the operational computing environment. This paper describes a form of virtual...
The paper provides a global architectural and decision support solution for a reaction after alert detection mechanisms in the frame of information systems security applied to telecom infrastructures. Therefore, the architecture is developed in a distributed perspective and is composed of three basic layers: the low level that constitutes the interface between the architecture and the infrastructure...
When developing real-time embedded systems, various professional disciplines are involved. Concerning AAS (assistance and automotive systems) in the automotive domain, the project DeSCAS (Design of Safety-Critical Automotive Systems) has identified the design streams functional development and architecture, safety measures and human factors. What has been proposed are an interwoven development process...
In this paper, we propose an ontology-based decision support for military information services based on a multi-agent system. Our system consists of sensor agents to detect raw-level data, a context management agent for handling context data, an information service agent, an operational decision support agent, and user agents for maintaining user information. Our approach allows users in military...
This paper describes our approach for supporting the idea development process by integrating the ontological vision and services-oriented approaches. We start by analyzing the existing models for the creative process and by identifying new challenges of the creative society, while focusing on different kinds of knowledge charactering the creativity process. Second, we argue the importance of the value...
Performance analysis is a common issue in the musical field, especially for instrument teachers and musicologists. That is why we present in this paper an ontology (technical aspect) and a descriptive model (pragmatic aspect) to allow music teachers and students to create semantic annotation on musical performances. As such, we start by studying recorded piano lessons and analyze the required concepts...
Semantic Web, Social Web, and new economic challenges are causing major shifts in the pervasive fabric that the internet has become, in particular for the business world. The internet's new role as participatory medium and its ubiquity lead to dense tri-sortal communities of humans and businesses mixed with computer systems, and semantically interoperating in a well-defined sense. Many of the challenges...
Currently, although logistics systems are based mostly on the barcode system and partly on radio frequency identification (RFID) systems, they still depend on humans checking or validating products. Situation-awareness technologies can operate similarly to humans. We suggest a middleware system based on an ontology using situation-awareness technologies for logistics. The middleware is aware of the...
Patent search requires identifying the boundaries of existing knowledge. Every patent request requires a decision maker to study all the aspects of the request. The paper describes a model for representing the patent request by a set of concepts related to existing knowledge ontology. The search for patent information is based on Fuzzy Logic decision support, allowing a more comprehensive search....
Providing ontologies for the automatic trend detection enhance the quality of trend predictions. However, in the case of dynamic and fuzzy expert knowledge like the knowledge used in trend detection, it is difficult to formalize knowledge unambiguously and in a static way. In this paper we report on our experiences in modeling and formalizing trend ontology for automatic knowledge-based trend detection...
Information technology (IT) is becoming essential for organizations. In this context, IT management has evolved to include IT service management and governance, towards business driven IT management paradigms. Thus, the alignment between IT and business has been regarded as one of the leading factors to the effectiveness of such paradigms. Furthermore, contributions from management activities automation...
Skill and competency information have not particularly focused on in e-Learning studies and developments, however all of LMS have deal with and implement its information, such as educational objectives, course contents, learning resources metadata. While we developed Japan National skills standards, and faced problems in terms of how various stakeholders can use, implement and share contents of the...
Web information scattered among the Web pages, and each store in its own structure and form. It is very difficult to meet the people's information searching needs rely on traditional search engine. A method of WEB content discovery based on Ontology-similarity is proposed in this paper to help people access information more effectively. In this way the author defines an application domain ontology...
The advances in distributed sensing and wireless communication enable pervasive home applications which are quit information-rich. Hereby the integrated access and management of heterogeneous information becomes an increasingly important research topic. Moreover recent popularity and advances in visual aids (Google maps, 3D computer graphics, PS games, etc.) call for the more attractively intuitive...
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