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This paper proposes an alternative scheme to detect design patterns in the early design stage. Both structural and behavioral designs primarily drawn in class diagram and its associated sequence diagrams are considered. Our detection approach exploits the knowledge base defined in ontology and the relevant inference rules to detect the design patterns. The Similar structural design patterns are effectively...
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...
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,...
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 modern military operations the emphasis is on smaller teams and more ad hoc teamwork. This requires greater agility both in terms of capturing actionable intelligence as well as appropriate dissemination and fusion of that information to coalition team members based on their tasks and need to know. In previous research and development we have explored the potential for a controlled natural language...
The intrinsic nature of distributed software development (DSD) brings new challenges, such as communication issues and sharing information efficiently. Software companies have a tendency to face these challenges using individual and isolated approaches, making difficult to spread good practices for the DSD community. In other contexts, concepts and techniques from Artificial Intelligence (AI) are...
An extension of the HTN-DL web service model is presented, including rules for web service behavior and compliance validation against customer requests. The intention is to overcome the limitations of HTN-DL and OWL-S in covering business constraints in service selection and also the limitation of preconditions. The proposed approach validates a web service obtained through HTN-DL planning, for compliance...
In this paper, we address the problem of how toexploit folksonomy systems and social bookmarking tools toenrich DBpedia ontology while unifying the formal knowledgerepresented by DBpedia ontology with the informal knowledge emerging from tagging. Our approach taps into external tools such as the sense inventory WordNet to correct mistakes resulted from the free tagging and takes advantage from semantic...
Multi-language data impairs the application of mining techniques in a generalized form, since language remains an impenetrable barrier. The advances on domain driven data mining and the study of its semantic aspects open a first window over it, in particular the D2PM framework [1]. This paper proposes a new method for mining patterns over multi-language data, through the use of the D2FP-Growth algorithm...
Semantic search promises to provide more accurate result than present-day keyword matching-based search by using the knowledge represented logically (i.e., knowledge base). But, the ordinary users don't know well the complex formal query language and schema of the knowledge base. So, the system should interpret the meaning of user's keywords. Such requirements are conspicuous especially in smart media...
Context awareness is one of the key requirements for realizing the vision of ubiquitous computing. Formal representation of context information is gaining an ever increasing number of advocates. Using the Web Ontology Language (OWL) is one of the well-established practices in this regard. Nevertheless, traditional OWL reasoning and thus query answering methods are not optimized for fast changes in...
The vision for the "Web of Things" (WoT) aims at bringing physical objects of the world into the World Wide Web. The Web is constantly evolving and has changed over the last couple of decades and the changes have spurted new areas of growth. The primary focus of the WoT is to bridge the gap between physical and digital worlds over a common and widely used platform, which is the Web. Everyday...
This paper makes three contributions to assist households to control their home devices in an easy way and to simplify the software installation and configuration processes across multi-vendor environments. First, a Home Environment Service Knowledge Management System is proposed, which is based on the knowledge implemented by ontology and uses the inference function of reasoner to find out available...
The complexity of developing and deploying context-aware pervasive-computing applications calls for distributed software infrastructures that unobtrusively support to contextual data collecting, information sharing and security privacy controlling. In this paper, we motivate a human-centric design for such an infrastructure to support context-aware applications. A novel peer to peer based semantic...
All I know is that I know nothing (Socratic Ignorance). The world is an increasingly complex with problems that require swift resolution. Although knowledge is widely available, be it stored in companies' databases or spread over the Internet, humans have intrinsic limitations for handling very large volumes of information or keeping track of frequent updates in a constantly changing world. Moreover,...
Existing search and content management technology is facing a challenge of locating desired content with the exponentially growing volume of documents. An approach for mitigating this issue is to make use of user-generated tags. However, the improvements are limited because tags are (1) free from context and form, (2) user generated, (3) used for purposes other than description, and (4) often ambiguous...
Non Functional Requirements (NFRs) are relative, so are the conflicts among them. In our previously developed catalogue of NFRs conflicts it can be observed that a number of specific pairs of NFRs are claimed to be in conflicts in some cases but they are also claimed not to be in conflict in the other cases. These relative conflicts occur because the positive or negative relationships among NFRs are...
In present day globalised trade, the ability to support collaboration through B2B (Business-to-Business) services is crucial. One of the key challenges is to pervasively connect partners across the entire value chain, with the appropriate service offerings. Thus, it is vital to quickly identify potential partners to form new B2B collaborations or to support formed collaborations with swift decision...
Since 1960, lots of AI researchers work on intelligent and reactive architectures able to manage multiple events and act in the environment. This issue is also part of Robotics domain. A decision process must be implemented in the robot brain to accomplish the multimodal interaction with human in human environment. In this article, we present a semantic agents architecture giving the robot the ability...
There have been attempts to offer “toolkits” or software to enable ease of entry into pedagogic design and support non-specialists in engaging with learning theories. Despite the efforts, existing e-learning systems and authoring tools have several limitations in respect of support provided and cannot accommodate the needs of teachers who increasingly look for more intelligent services and support...
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