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This paper presents a method to validate the insertion of a new concept in an ontology. This method is based on our previous works which add new concepts in a basic ontology using a general ontology (genaral ontology contains all the concepts of the basic ontology). To verify the semantic relevance of an ontology, we have proposed a method with three steps. First, we have found the neighborhood of...
Traditionally, home appliances are controlled by switches or remote controllers manually. In order to control the appliances, a user have to be near the switches or carry remote controllers all the time. To alleviate this inconvenience, this paper proposes a control system for home appliances using human speech and context information. We present an architecture of the control system and a process...
The proposed eHealth Recommendation Service System (eHeaRSS) is to recommend health service information to patients whenever and wherever. Nowadays, depending on online networks popularity, there are a lot of research starting to focus on patient-context to apply health care fields like tele-health, tele-care, medical traveling, and so on. The proposed eHeaRSS is like a family doctor to care patients,...
Smart homes present complex domains that suit ontological modelling. To be efficient, smart home systems must incorporate domain uncertainty into decision making. But ontologies presently cannot represent and reason under uncertainty. It is thus challenging, developing ontology-based decision-making models that can integrate domain uncertainty. In this paper, we seek a decision network approach as...
This paper builds upon the BWEC1 (Business for Women in Women of Emerging Country) research project to improve the socio-economic situation of handicraft women. In this project our principal task is to build data warehouse schema from handicraft women social network. For that, we follow a semi-supervised clustering-based methodology. In this paper, we propose the adaptation of a semi-supervised hierarchical...
One of the most important element for adapting and personalizing Technology-Enhanced Learning (TEL) is the learner model because it contains a lot of useful information about an individual such as learning preferences, academic performance and learning styles. These latter, which are increasingly being incorporated into TEL, and seems to be a promising concept for making learning easier for students...
The activity of the traditional learning is defined as an activity of transmission of information following a single direction from a teacher to a student. The student is thus as a passive recipient of information without reacting or participating in resolution of real problems. Given the evolution of learning methods, teachers now have the opportunity to introduce games with an educational purpose...
Systems enabling smart city operations are highly adaptive complex systems that pose great challenges in their development and operation. Current user-driven techniques for system domain modeling and requirements engineering are not adequate for supporting the development of such systems. In this paper, we propose a development process and an environment-driven modeling approach for the Requirement...
Recently, the NLP community has shown a renewed interest in lexical semantics in the extent of automatic recognition of semantic relationships between pairs of words in text. Lexical semantics has become increasingly important in many natural language applications, this approach to semantics is concerned with psychological facts associated with meaning of words and how these words can be connected...
The current service discovery mechanisms are syntactic methods that often offer poor quality results. By researching this area we are able to identify issues that limit the quality of the result with these traditional service mechanisms. To overcome this issue we use ontologies to enable semantic matchmaking. By reasoning on concepts and relations, our approach can derive matches that syntactically...
The concept of "evidence-based policy making" (EBPM) has been gaining currency over the past decade and is being promoted by governments around the world as a mechanism for developing more effective and efficient policies and programs based on scientific evidence. Moreover, the advent of open government data, together with the increasing adoption of indicators and networked, mobile sensors...
The paper describes the Diagnostic Panel Software System designed for the “spinal deformity and degenerative diseases of the spine” subject domain. The work is based on the methods of statistical processing of the data obtained from medical documents written in a natural language. The software system based on patient's clinical and laboratory test results helps physicians determine a preliminary diagnosis...
This tutorial addresses the above challenges by presenting an ontological framework for medical documentation processing and analysis, whereby the document is no longer inert to information technology, but a rich source for knowledge acquisition and a road map to drive a wide range of software processes which range from collaborative treatment planning to just-in-time decision support. In particular,...
In e-marketplace, semantic document exchange is a methodology of providing exchangeable semantic documents, which ensures document writer, writer's computer, reader's computer and document reader to share a same understanding in meaning on any exchanged document, that is, a semantic document is exchangeable across any heterogeneous contexts. Existing methodologies for semantic document exchange, in...
Many web resources require an accurate representation of family relationships. However, available ontologies describing this kind of relationships provide only simple and rudimentary representations. In addition, the transition from one culture/language to another cannot be solved with simple translation solutions, specifically when concepts do not intersect in different cultures. In this paper, we...
Global energy demand grows rapidly. The building sector accounts for about 20% of world's energy consumption. Intelligent and systematic energy management technologies have been increasingly exploited to reduce the energy use in the building sector. Previous studies used their own decision model including knowledge-bases and rules. However, they are lack of a structural framework for organizing information...
In this article we outline an ontology of secure operations in cyberspace, describing its primary characteristics through some basic modeling examples. We make the case for adopting a rigorous semantic model of cyber security to overcome the current limits of the state of the art, namely lack of comprehensive knowledge representation and effective automatic reasoning functionalities.
In this paper a semantic-probabilistic network for event recognition is proposed. The approach uses pre-defined domain ontology to describe the events and scenarios in the scene as a hierarchical decomposition of simple concepts and variables and then perform an automated conversion of the ontology into a Bayesian network. A novel approach to Bayesian network nodes weights calculation is used based...
The interaction between elderly's body states and their surrounding environment is important in many conditions. Biological data and activity data in elderly's daily life using wearable body sensor can be monitored and then can be adjusted with environment to gain the comfort condition. Seamless integration home care which is embedded with pervasive devices and awaring of the context can help residents...
This paper presents a dialog system for the user in interacting with a smart home system. Instead of using just a voice control for appliances, a dialog system gives the user a more natural way of communication with the smart home. The dialog system can take different forms of instruction from the user and provides services to the user. The user can inquire the system about some information instead...
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