Search results for "SWRL"
showing 10 items of 12 documents
Enrichissement sémantique d'un IFC pour une extraction partielle dynamique
2014
http://www.lcdpu.fr/livre/?GCOI=27000100860820&fa=sommaire; International audience; La dématérialisation de l'ensemble des données et des processus dans le domaine du bâtiment est un enjeu mondial depuis ces 10 dernières années. Au-delà de la simple représentation géométrique d'un bâtiment, le BIM s'impose petit à petit comme un système d'information coopératif complexe, intégrant avec difficulté les données et pratiques hétérogènes des différents acteurs du domaine. La restitution intégrée de ces données aux usagers du bâtiment est une opération délicate. Pour répondre à ce verrou, nous utilisons une approche sémantique de représentation du bâtiment et particulièrement de la norme IFC. Cet…
Integration of Spatial Technologies and Semantic Web Technologies for Industrial Archaeology
2010
International audience; We propose a method that uses the advancement in spatial technologies from current database systems within the Semantic Web Technologies in order to enrich and to populate the knowledge of a domain defined in an OWL-DL ontology. The results of spatial operations and functions are used to populate and to enrich ontologies with new individuals and new relationships. The advantage of spatial analysis within Semantic Web technologies is the diversity of the functionalities provided by the combination of spatial operations and the rule language of the Semantic Web (SWRL). This method is applied in the industrial archaeology domain in order to enhance the knowledge managem…
Ontology-based Integration of Web Navigation for Dynamic User Profiling
2015
The development of technology for handling information on a Big Data-scale is a buzzing topic of current research. Indeed, improved techniques for knowledge discovery are crucial for scientific and economic exploitation of large-scale raw data. In research collaboration with an industrial actor, we explore the applicability of ontology-based knowledge extraction and representation for today's biggest source of large-scale data, the Web. The goal is to develop a profiling application, based on the implicit information that every user leaves while navigating the online, with the goal to identify and model preferences and interests in a detailed user profile. This includes the identification o…
Bridging data mining and semantic web
2016
Nowadays Semantic Web is widely adopted standard of knowledge representation. Hence, knowledge engineers are applying sophisticated methods to capture, discover and represent knowledge in Semantic Web form. Studies show that, to represent knowledge in Semantic Web standard, data mining techniques such as Decision Trees, Association Rules, etc., play an important role. These techniques are implemented in publicly available Data Mining tools. These tools represent knowledge discovered in human readable format and some tools use Predictive Model Markup language (PMML). PMML is an XML based model for data mining model representation that fails to address the representation of the semantics of t…
SEMANTIC WEB TECHNOLOGIES FOR IMPLEMENTING COST-EFFECTIVE AND INTEROPERABLE BUILDING INFORMATION MODELING
2015
International audience; In the field of AEC/FM, BIM has been recognized by industrial and political actors as a powerful tool for resolving data interoperability problems. Coupled with cloud computing and GIS, BIM would allow integrating different information exchange standard into one single digital building model that can be real-time edited by several stakeholders or architects. In this paper, we examine the benefits brought by using Semantic Web technologies in delivering such universal building model. We present how our approach is a step further in reaching the vision of BIM, and how it can serve construction process, operation and maintenance, along with facilities’ lifecycle managem…
A Rule Based System for Semantical Enrichment of Building Information Exchange
2014
International audience; In the area of building construction and management, the dematerial-ization of data and processes has been a global issue for the past 10 years. Go-ing beyond the geometric representation of a building, Building Information Modeling (BIM) is an approach that aims at integrating into one single system heterogeneous data and processes from different actors. Such integration is a complex and fastidious task. The implementation of the related processes for data querying, retrieval or modification is not less difficult. To tackle this prob-lem, we have developed a novel approach based on Semantic Web technolo-gies. In doing so, we have defined an ontology inspired on IFC …
FOWLA, A Federated Architecture for Ontologies.
2015
International audience; The progress of information and communication technologies has greatly increased the quantity of data to process. Thus, managing data heterogeneity is a problem nowadays. In the 1980s, the concept of a Federated Database Architecture (FDBA) was introduced as a collection of components to unite loosely coupled federation. Semantic web technologies mitigate the data heterogeneity problem, however due to the data structure heterogeneity the integration of several ontologies is still a complex task. For tackling this problem, we propose a loosely coupled federated ontology architecture (FOWLA). Our approach allows the coexistence of various ontologies sharing common data…
Use of Geospatial Analyses for Semantic Reasoning
2010
International audience; This work focuses on the integration of the spatial analyses for semantic reasoning in order to compute new axioms of an existing OWL ontology. To make it concrete, we have defined Spatial Built-ins, an extension of existing Built-ins of the SWRL rule language. It permits to run deductive rules with the help of a translation rule engine. Thus, the Spatial SWRL rules are translated to standard SWRL rules. Once the spatial functions of the Spatial SWRL rules are computed with the help of a spatial database system, the resulting translated rules are computed with a reasoning engine such as Racer, Jess or Pellet.
Semantic User Profiling for Digital Advertising
2015
International audience; With the emergence of real-time distribution of online advertising space (“real-time bidding”), user profiling from web navigation traces becomes crucial. Indeed, it allows online advertisers to target customers without interfering with their activities. Current techniques apply traditional methods as statistics and machine learning, but suffer from their limitations. As an answer, the proposed approach aims to develop and evaluate a semantic-based user profiling system for digital advertising.
Integration of Spatial processing and knowledge Processing through the Semantic Web Stack
2011
International audience; This paper presents the integration process of spatial technologies and Semantic Web technologies and its associated tool. The result of this work is a spatial query and rule engine of spatial. To do so, existing ontology with spatial elements is adjusted in order to process the spatial knowledge through spatial technologies. This paper outlines the methods and the processes of these adjustments and how results are returned by our tool. The SWRL and the SPARQL language are extended for spatial purpose and the existing OWL ontology wine is used as an application example.