| |  | Gruber, Tom | Where the Social Web Meets the Semantic Web read moreAbstract: The Semantic Web is an ecosystem of interaction among computer systems. The social web is an ecosystem of conversation among people. Both are enabled by conventions for layered services and data exchange. Both are driven by human-generated content and made scalable by machine-readable data. Yet there is a popular misconception that the two worlds are alternative, opposing ideologies about how the web ought to be. Folksonomy vs. ontology. Practical vs. formalistic. Humans vs. machines. This is nonsense, and it is time to embrace a unified view. I subscribe to the vision of the Semantic Web as a substrate for collective intelligence. The best shot we have of collective intelligence in our lifetimes is large, distributed human-computer systems. The best way to get there is to harness the ”people power” of the Web with the techniques of the Semantic Web. In this presentation I will show several ways that this can be, and is, happening. | 2006 |
| | | Wang, X. H. | Ontology based context modeling and reasoning using OWL read moreAbstract: Here we propose an OWL encoded context ontology (CONON) for modeling context in pervasive computing environments, and for supporting logic-based context reasoning. CONON provides an upper context ontology that captures general concepts about basic context, and also provides extensibility for adding domain-specific ontology in a hierarchical manner. Based on this context ontology, we have studied the use of logic reasoning to check the consistency of context information, and to reason over low-level, explicit context to derive high-level, implicit context. By giving a performance study for our prototype, we quantitatively evaluate the feasibility of logic based context reasoning for nontime-critical applications in pervasive computing environments, where we always have to deal carefully with the limitation of computational resources. | 2004 |
| | | Bennacer, N. | Formalizing for querying learning objects using OWL read moreAbstract: The World Wide Web offers an increasing amount of complex and rich educational Web resources that are available for free in various domains. Unfortunately, it is difficult today to have a Web agent that answers precisely a simple query. Semantic Web aims to make Web resources meaningful to automated agents. Ontologies are proposed to provide a formal representation of a shared and common conceptualization of a specific domain. For the description of educational resources several communities are working on the definition of metadata elements. The Learning Technology Standards Committee (LTSC) specifies the Learning Object Metadata (LOM), a set of elements describing the relevant characteristics for learning resources. The goal of this paper is to give a formal and more comprehensive content description of learning resources in order to allow better reusability and retrievals. This description is particularly focused on the semantic relationships between learning resources which constitute an important aspect to access information. It uses OWL, an ontology language for the semantic Web, recently developed by the W3C. OWL provides powerful expressiveness combined with desirable computational properties for reasoning systems due to its correspondence with description logics. The query of the corresponding knowledge base is illustrated using OWL Query Language OWL-QL. | 2004 |
| | | Ohmukai, Ikki | Metadata-Driven Personal Knowledge Publishing read moreAbstract: We propose a personal knowledge publishing system called Semblog is realized with integration of Semantic Web techniques and Weblog tools. Semblog suite provides an integrated environment for gathering, authoring, publishing, and making human relationship seamlessly to enable people to exchange information and knowledge with easy and casual fashion. We use a lightweight metadata format like RSS to activate the information flow and its activities. We define three level of interest of information gathering and publishing i.e., “checkâ€, “clip†and “post†and provide suitable ways to distribute information depending on the interest level. Our system called Semblog platform consists of two types of extended content aggregator and information retrieval / recommendation applications. We also design a new metadata module to define personal ontology that realizes semantic relations among people and Weblog sites. | 2004 |
| | | Devedzic, Vladan | Education and the Semantic Web read moreAbstract: Recent developments in Web technologies and using AI techniques to support efforts in making the Web more intelligent and provide higher-level services to its users have opened the door to building the Semantic Web. That fact has a number of important implications for Web-based education, since Web-based education has become a very important branch of educational technology. Classroom independence and platform independence of Web-based education, availability of authoring tools for developing Web-based courseware, cheap and efficient storage and distribution of course materials, hyperlinks to suggested readings, digital libraries, and other sources of references relevant for the course are but a few of a number of clear advantages of Web-based education. However, there are several challenges in improving Web-based education, such as providing for more adaptivity and intelligence. Developments in the Semantic Web, while contributing to the solution to these problems, also raise new issues that must be considered if we are to progress. This paper surveys the basics of the Semantic Web and discusses its importance in future Web-based educational applications. | 2004 |
| | | Avery, John | dOWL: A Dynamic Ontology Language read moreAbstract: Ontologies in a web setting, particularly those used in a group context (such as a virtual community), need to be flexible
and open to changes that reflect the evolution of knowledge. OWL the ontology language of the semantic web provides
very little for facilitating the description of evolutionary changes in an ontology. We propose a dynamic web ontology
language (dOWL), an extension to OWL, which consists of a set of elements that can be used to model these
evolutionary changes in an ontology. | 2003 |
Add To Cart
Add To Report
Email
Export
1 