Search results for "Data Web"
showing 10 items of 21 documents
Automatic Integration of Spatial Data into the Semantic Web
2017
International audience
Querying Dynamic and Context-Sensitive Metadata in Semantic Web
2005
RDF (core Semantic Web standard) is not originally appropriate for context representation, because of its initial focus on the ordinary Web resources, such as web pages, files, databases, services, etc., which structure and content are more or less stable. However, on the other hand, emerging industrial applications consider e.g. machines, processes, personnel, services for condition monitoring, remote diagnostics and maintenance, etc. to be specific classes of Web resources and thus a subject for semantic annotation. Such resources are naturally dynamic, not only from the point of view of changing values for some attributes (state of resource), but also from the point of view of changing “…
A software tool via web for the statistical data analysis; R-php
2007
The spread of Internet and the growing demand of services from the web users have changed and are still changing the way to organize the work or the study. Nowadays, the main part of information and many services are on the web and the software is going toward the same direction: in fact, the use of software implemented via web is ever-increasing, with a client-server logic that enables the “centralized” use of software installed on a server. In this paper we describe the Structure and the running of R-php, an environment for statistical analysis, freely accessible and attainable through the World Wide Web, based on the statistical environment R. R-php is based on two modules: a base module…
Practical Aspects of Log File Analysis for E-Commerce
2013
The paper concerns Web server log file analysis to discover knowledge useful for online retailers. Data for one month of the online bookstore operation was analyzed with respect to the probability of making a purchase by e-customers. Key states and characteristics of user sessions were distinguished and their relations to the session state connected with purchase confirmation were analyzed. Results allow identification of factors increasing the probability of making a purchase in a given Web store and thus, determination of user sessions which are more valuable in terms of e-business profitability. Such results may be then applied in practice, e.g. in a method for personalized or prioritize…
Semantic web technologies for facilities management
2007
Facility management is the practice of coordinating the physical workplace with the people and work of the organization. It integrates the principles of business administration, architecture and the behavioral and engineering sciences. To deal with these requirements, we have developed a framework based on Semantic Web technologies: RDF, OWL, SWRL and named graph. This framework, called C-DMF, allows facilities manager to organize all knowledge generating during building lifecycle in end-user contextual graphs.
Context DataModel Framework: semantic facilities management
2008
Facility management is the practice of coordinating the physical workplace with the people and work of the organisation. It integrates the principles of business administration, architecture and the behavioural and engineering sciences. Software dedicated to facility management are usually limited to spreadsheet software. With the development of the Industry Foundation Class (IFC; a new object-oriented standard to model buildings) and web-based networks, a new generation of methods and tools dedicated to facility management are required. To deal with these requirements, we have developed a framework based on Semantic Web technologies: RDF, Ontology Web Language (OWL), Semantic Web Rule Lang…
Semantic to intelligent web era
2013
International audience; The Web has known a very fast evolution: going from the Web 1.0, known as Web of Documents where users are merely consumers of static information, to the more dynamic Web 2.0, known as social or collaborative Web where users produce and consume information simultaneously, and entering the more sophisticated Web 3.0, known as the Semantic Web by giving information a well-defined meaning so that it becomes more easily accessible by human users and automated processes. Fostering service intelligence and atomicity (the ability of autonomous services to interact automatically), remains one of the most upcoming challenges of the Semantic Web. This promotes the dawn of a ne…
Ontology-based Semantic Web Service platform in Mobile Environments
2006
The number of mobile terminals is continuously increasing in the world, although in many developed countries the market has saturated. Thus, the market can only grow if new service types are offered to the mobile terminals. One emerging technology that might make this possible is semantic web services. At the core of this technology are ontologies that are necessary for automatic discovery and composition of the services. In this paper we discuss how mobility affects the architectural considerations of semantic web service platform and particularly ontology management. We rely on reference architecture for Semantic Web Services in our work.
Semantic Multi-agent Architecture to Road Traffic Information Retrieval on the Web of Data
2013
In this paper, we describe a system based on FIPA standards to help the process of advertisement, discovery, invocation and reuse of traffic information on the web of data. The use of semantic web services (SWS) can be exploited to improve the outcomes in the discovery process, allowing end users to specify their need using concepts not keywords. Most of the traffic information is generally recovered by end users through web forms that specify their requirements, and must refill each time the same parameters to obtain the updated value from the web sites. Using agents besides Service Oriented Architecture (SOA), we will achieve interoperability between systems and also automatize the proces…
Natural Language Processing Agents and Document Clustering in Knowledge Management
2008
While HTML provides the Web with a standard format for information presentation, XML has been made a standard for information structuring on the Web. The mission of the Semantic Web now is to provide meaning to the Web. Apart from building on the existing Web technologies, we need other tools from other areas of science to do that. This chapter shows how natural language processing methods and technologies, together with ontologies and a neural algorithm, can be used to help in the task of adding meaning to the Web, thus making the Web a better platform for knowledge management in general.