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One of the personalized service in the ubiquitous For establishing real u-health environments, it is necessary to receive the context information obtained from various platforms at proper time in portable devices, which are operated in both wire and wireless communication. And, a knowledge model that reflects the information and characteristics for such services while it is appropriate for medical...
This paper presents a light inference system for context management, ready to perform reasoning tasks in resource-constrained devices. The inference system is part of a service-oriented mobile software framework which runs on Javaenabled handheld devices. This framework serves to facilitate the creation of context-aware applications, as it decouples sensor's data acquisition and context processing...
Earth and environmental scientists collect and use a wide range of observational data. This data often exhibits high structural and semantic heterogeneity due to the variety of data collected and the ways in which observational datasets are structured in practice. However, to address questions at broad temporal, geographic, and biological scales, researchers often need to access and combine data from...
In order to handle vague information of ontology mapping, a novel method based on the Fuzzy Formal Concept Analysis (FCA) theory was proposed. The ontology was first defined to model vague data, and then a fuzzy formal context was constructed with the combination of two ontologies. At last, a concept similarity measure model was proposed for improving ontology mapping. Compared with other ontology...
Sharing heterogeneous data among distributed environments in a user-centric way represents today the main challenge for personalization. In recent years several techniques have been proposed to support user modeling for cross-system personalization, following two main approaches. A first group of researchers base their solutions on the use of a top-down approach, involving standard ontologies or unified...
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...
Network management has suffered from increases in business, system, and operational complexity. This has been exacerbated by the heterogeneity in management data as well as the high quality requirements of multimedia services. Autonomic networking manages this growing complexity by adding intelligence inside network nodes and network management applications. While most autonomic applications simply...
According to the temporal and dynamic characteristics of emergency knowledge, the paper, on the basis of the traditional knowledge representation model, proposes a model of emergency knowledge representation, which is “emergency conception ontology + temporal logic + process template”, to solve the problem of emergency knowledge digitization. After that, the paper constructs the framework of intelligent...
Firms compete by the skills and knowledge of their employees to deliver a range of customized solutions to meet their clients' needs. Knowledgeable workers thereby play a pivotal role in today's knowledge-based economy. In knowledge-intensive business service (KIBS) firms, service providers exchange explicit knowledge with service customers through various delivery channels. The collaboration between...
Situation-Based Access Control (SitBAC) is a conceptual model for representing access control policies of healthcare organizations by characterizing situations of access to patient data. The SitBAC model enables formal representation of access situations as an ontology of concepts (Patient, Data Requestor, EHR, Task, and Response) along with their attributes and relationships. A competing access control...
This research advances Cyber Situation Management by proposing methods for automated mapping of Cyber Assets to Missions and Users (Camus). To enable accurate and efficient cyber incident mission impact assessment, a Camus ontology that defines entities, relationships and attributes (ERAs) associated with them has been drafted. Methods for fusing data from multiple data sources have been developed...
Classical tracking methods are often insufficient when dealing with complex scenarios. In order to solve tracking errors, innovative techniques based on the use of information about the context of the scene have been proposed. Context information ranges from precise measures computed on the pixels of the object neighborhood to high level representations of the entities and the activities of the scene...
As the importance of metadata in resource discovery cannot be over-emphasized, the paper tries to analyze the potential of learning metadata in learning management systems. It examines a learning initiative in the Indian Context while highlighting desirable features especially to aide resource discovery. The present work proposes an approach of integrating LOM based learning management system with...
Most service and network management applications are developed to use vendor- and device-specific management data. These data are produced from different languages, and hence can have different representations of the same concept. We define a novel knowledge representation and mapping mechanism that uses ontological concepts and relations to generate a formal description for the Directory Enabled...
The specification of clinical items is a fundamental problem in the planning of a clinical trial. In this paper we present an approach that uses an RDF model in combination with a suite of OWL ontologies to formally describe the structural and conceptual composition of items. We argue that a semantic Web data model is more flexible than traditional relational models and therefore more appropriate...
The approach taken with OGEP is to parse relevant domain data in the form of unstructured content (or corpus) and use that knowledge to generate and/or evolve an existing ontology. OGEP creates a constant conversation between the corpus parser and a reasoning mechanism (corpus reasoner) that continually formulates potential ontology modifications in the form of hypotheses. These hypotheses are weighted...
This article describes the authors' experiences with a pragmatic, ontology-based approach to data portability and knowledge sharing, as used in the first Mission Execution Crew Assistant (MECA) proof-of-concept demonstrator software.
Despite the critical importance of semantic interoperability between heterogeneous databases, current approaches have not been sufficiently effective and comprehensive. We propose an ontology-based solution, which use two kinds of ontologies called schema-level conflict ontology and data-level conflict ontology (SLCO and DLCO). SLCO and DLCO are two ontologies for detecting and resolving schema and...
Considering the problem of unified description of data modeling languages for computer network management, information specification ontology may be a prospective solution. However, basics of a unified mathematical theory are still lacking for ontology building. Delighted by the philosophical thinking of conceptual scheme for descriptive metaphysics, this paper tries to utilize formal concept analysis...
In services using lifelog collected continuously and over a long period of time, disclosure control is essential in order to deal with the privacy because this lifelog includes confidential information which users are unwilling to disclose freely. This paper proposes an ontology model for disclosure control needed to handle each user's lifelog. The user is able to easily set disclosure rules on his/her...
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