Search results for "Web"

showing 10 items of 2018 documents

Architectural Reconstruction of 3D Building Objects through Semantic Knowledge Management

2010

International audience; This paper presents an ongoing research which aims at combining geometrical analysis of point clouds and semantic rules to detect 3D building objects. Firstly by applying a previous semantic formalization investigation, we propose a classification of related knowledge as definition, partial knowledge and ambiguous knowledge to facilitate the understanding and design. Secondly an empirical implementation is conducted on a simplified building prototype complying with the IFC standard. The generation of empirical knowledge rules is revealed and semantic scopes are addressed both in the bottom up manner along the line of geometry --> topology --> semantic, and a vice ver…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]cognitionComputer science02 engineering and technologySemanticscomputer.software_genreSocial Semantic Webformal[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic similaritySemantic computing0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebInformation retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Semantic Web Rule Languagebusiness.industryepistemology020207 software engineeringknowledge management[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Semantic gridsemanticSemantic technology020201 artificial intelligence & image processingData miningbusinesscomputer
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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…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]lcsh:Computer engineering. Computer hardware[ INFO ] Computer Science [cs]Knowledge representation and reasoningComputer scienceSemantic Web Ontologies SWRL Big Data reasoningBig datalcsh:TK7885-789502 engineering and technologyOntology (information science)[INFO] Computer Science [cs][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Big Data reasoningWorld Wide WebKnowledge extraction020204 information systems0202 electrical engineering electronic engineering information engineeringOntologiesWeb navigation[INFO]Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebSWRLSemantic WebUser profilebusiness.industrylcsh:Zlcsh:Bibliography. Library science. Information resourcesSemantic technology020201 artificial intelligence & image processingbusiness
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PROFILE REFINEMENT IN ONTOLOGY-BASED RECOMMANDER SYSTEMS FOR ECONOMICAL E-NEWS

2014

International audience; This paper is interested in a recommender system of economic news articles. More precisely, it focuses on automatic profile refinement of customers which is an important task over time by taken into account logs of the user concerning especially his/her actions, reading time, and domain specific knowledge. In our approach, ontologies are used to describe and automatically refine these profiles. This work focuses on one particular type of recommender systems which is content-based recommenders. The aim of these recommender systems is to build a user profile and to improve its precision over time. Several improvements that have been made to these recommender systems ov…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]recommender system[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]profile refinement[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]Semantic web.[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]e-newsontology[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Automatic User Profile Mapping To Marketing Segments In A Big Data Context

2015

International audience; Within the discussion about the analysis methods for Big Data contexts, semantic technologies often get discarded for reasons of efficiency. While machine learning and statistics are known to have shortcomings when handling natural language, their advantages in terms of performance outweigh potential concerns. We argue that even when handling vast amounts of data, the usage of semantic technologies can be profitable and demonstrate this by developing an ontology-based system for automatically mapping user profiles to pre-defined marketing segments.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]user profiling[ INFO ] Computer Science [cs]semantic WebWeb miningMarketing segment[INFO]Computer Science [cs][INFO] Computer Science [cs][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Sharing spatial data with a 3D component as a collaborative and dissemination tool for archaeology: conceptual challenges and technical issues

2018

International audience; Due to INSPIRE directive, various spatial data infrastructure (SDI) were developed to support research activities. In practice, these toolsremain underexploited by researcher for many reasons. First, their use is time-consuming and researchers usually consider that they provide noimmediate benefits. Second, their use is often complex and needs a substantial investment for researchers who have a limited expertise in spatial data. Finally, often based on 2D GIS environment, they do not provide an adequate tool for collaborative research in archaeology. From this experience, an interdisciplinary team designed and developed an SDI based on GeOrchestra, synchronized with …

[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR][INFO.INFO-AR] Computer Science [cs]/Hardware Architecture [cs.AR][SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[INFO.INFO-WB] Computer Science [cs]/Web3D visualization[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistoryhistorical datametadata[INFO.INFO-WB]Computer Science [cs]/Webspatial data infrastructure[INFO]Computer Science [cs]web mapping[INFO] Computer Science [cs]
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Adding Semantic Extension to Wikis for Enhancing Cultural Heritage Applications

2011

International audience; Wikis are appropriate systems for community-authored content. In the past few years, they show that are particularly suitable for collaborative works in cultural heritage. In this paper, we highlight how wikis can be relevant solutions for building cooperative applications in domains characterized by a rapid evolution of knowledge. We will point out the capabilities of semantic extension to provide better quality of content, to improve searching, to support complex queries and finally to carry out di fferent type of users. We describe the CARE project and explain the conceptual modeling approach. We detail the architecture of WikiBridge, a semantic wiki which allows …

[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Point (typography)Computer sciencemedia_common.quotation_subject02 engineering and technologyExtension (predicate logic)Ontology (information science)computer.software_genreOntology engineeringCultural heritageWorld Wide WebConsistency (database systems)[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]020204 information systems11. Sustainability0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]020201 artificial intelligence & image processingQuality (business)Architecturecomputermedia_common
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HiGeoMes: Distributed Geodatabases in an archaeological joint research project

2013

International audience; The project 'HiGeoMes' seeks to connect knowledge about archaeological sites in the Near East with place names in ancient sources of the 2nd millennium BC. The paper describes the digital approach to integrate textual and geographical information by emphasizing the impact of interfaces linking diverse datasets. Several OGC-based Web services provide reviewed archaeological information in a Web GIS with query capabilities. Place-related philological data are stored in an OWL-store to model the topological relations of unidentified sites. An interface integrates a graph-viewer with the Web GIS by invoking both WFS- and REST-services to spatially integrate the datasets.…

[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Web GISKnowledge Management[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/WebArchaeological Data Infrastructure[ INFO.INFO-WB ] Computer Science [cs]/Web[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic Integration
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Linking BIM and GIS Standard Ontologies with Linked Data

2020

International audience; Following the analysis of existing BIM and GIS standards, formats, differences in the interpretations of the underlying concepts have been identified. Still, in each of the two considered domains several ontologies have been defined for these terms without seeking an alignment among their definitions. With this scope in mind, this article presents several mappings expressed by means of explicit semantic links between GIS concepts (as present in the related ontologies for the ISO 191XX standard family) and BIM concepts (as represented in the IFC standard ISO 16739:2018). Such semantic mappings are defined in order to ensure a knowledge continuum between both domains, …

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL]Linked Data[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Ontologies[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]BIM[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]GISSemantic Web Technologies[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]ISO standards
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Semantic Mappings in Description Logics for Spatio-temporal Database Schema Integration

2005

International audience; The interoperability problem arises in heterogeneous systems where different data sources coexist and there is a need for meaningful information sharing. One of the most representive realms of diversity of data representation is the spatio-temporal domain. Spatio-temporal data are most often described according to multiple and greatly diverse perceptions or viewpoints, using different terms and with heterogeneous levels of detail. Reconciling this heterogeneity to build a fully integrated database is known to be a complex and currently unresolved problem, and few formal approaches exist for the integration of spatio-temporal databases. The paper discusses the interope…

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Theoretical computer scienceComputer scienceNCCR-MICSmedia_common.quotation_subjectNCCR-MICS/CL4Database schema[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]02 engineering and technologyExternal Data RepresentationConceptual schemaDescription logicSemantic mapping020204 information systems0202 electrical engineering electronic engineering information engineeringConceptual model[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]020201 artificial intelligence & image processingSemantic Webmedia_commonInformation integration
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Linked data vocabularies for BIM

2019

Given the high interest in the field of BIM (Building Information Modeling) for Linked Data approaches over the last years, the article at hand presents an evaluation of the main Linked Data vocabularies available for the considered domain. First, Semantic Web layer architecture is presented, along with the 4 main principles of Linked Data. Second, each vocabulary is evaluated according to these 4 principles, while 2 additional ones are added in order to assess the licence associated with the vocabulary (open or not, specified or missing). An overall comparison among the considered vocabularies is also provided, thus helping in choosing which vocabulary to use in future Linked Data applicat…

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-GL]Computer Science [cs]/General Literature [cs.GL][INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]vocabulaires[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]données liéesvocabularies Mots clefs BIM[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL]Linked DataBIMvocabulariesWeb sémantique[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-GL] Computer Science [cs]/General Literature [cs.GL]Semantic Web
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