Search results for " Computer science"

showing 10 items of 3983 documents

An Empirical Comparison of Centrality and Hierarchy Measures in Complex Networks

2020

International audience

[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Assessing the Relationship Between Centrality and Hierarchy in Complex Networks

2020

International audience

[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Hierarchy and Centrality: Two Sides of The Same Coin?

2020

International audience

[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Classical versus Community-aware Centrality Measures: An Empirical Study

2021

International audience

[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][INFO.INFO-SI] Computer Science [cs]/Social and Information Networks [cs.SI][INFO]Computer Science [cs][INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG][INFO] Computer Science [cs]ComputingMilieux_MISCELLANEOUS[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]
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Concevoir pour le développement dans une approche non-curriculaire en formation des adultes

2016

International audience; La formation des adultes est principalement structurée selon une approche curriculaire et séquentielle ayant montré son efficacité, et qui suppose notamment i) la didactisation préalable d'objets d'apprentissage, ii) l'identification des situations susceptibles de favoriser l'acquisition de ces objets et iii) la répétition et la graduation de ces situations. Cette approche montre aussi ses limites i) vis-à-vis de certains publics (en échec à l'université, évitant la formation continue, décrochant des institutions), et ii) vis-à-vis d'enjeux sociétaux majeurs (catastrophes industrielles et environnementales, atteintes graves à la santé…). Cette inadéquation est due à …

[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG][SHS.EDU]Humanities and Social Sciences/Education[SHS.EDU] Humanities and Social Sciences/EducationEnaction[ SHS.EDU ] Humanities and Social Sciences/Education[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]Formation des adultesDéveloppement professionnel[ INFO.INFO-LG ] Computer Science [cs]/Machine Learning [cs.LG]Recherche Design-Based
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Previous BIM-GIS Integration Approaches: Analytic Review and Discussion

2020

Even though, BIM and GIS are two different technologies (e.g. standards, data format), and used for distinctive situations/objectives they are complementary. As a result, we have noticed an increase association between Building Information Model (BIM) and Geographic Information System (GIS) in construction projects for multiple use cases. Where on one hand, BIM represents detailed geometric and semantic information through building life cycle, while GIS covers geo-visualization, decision making and geospatial modelling. In this article, we are going to present an analytic review (approaches, advantages and limits) and discussion of previous studies that tackle BIM and GIS incorporation.

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]Analytic review[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-GL]Computer Science [cs]/General Literature [cs.GL][INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]BIM[INFO.INFO-GL] Computer Science [cs]/General Literature [cs.GL]analyse analytique.GISSIGComputingMilieux_MISCELLANEOUS[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
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Semantic Trajectory Modeling for Dynamic Built Environments

2017

This paper presents a data model to capture moving and changing objects in the context of dynamic built environment. Building elements are subject to change which represents semantic trajectories crossing trajectories of users. These semantic trajectories in dynamics built environment permit to capture fine-grained activities and behaviors of users and objects. The data model is based on ontology and description logics to capture logic constraints on semantic trajectories.

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]Computer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]0211 other engineering and technologies[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]Context (language use)[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technologyOntology (information science)SemanticsData modelingData modelDescription logicHuman–computer interaction020204 information systems0202 electrical engineering electronic engineering information engineeringTrajectory[ INFO.INFO-LO ] Computer Science [cs]/Logic in Computer Science [cs.LO]Built environment[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS]ComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering
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Inconsistency measuring over multisets of formulas

2018

International audience; Measuring Inconsistency in Information : The concept of measuring inconsistency in information was developed by John Grant in a 1978 paper in the context of first-order logic. For more than 20 years very little was done in this area until in the early 2000s a number of AI researchers started to formulate new inconsistency measures primarily in the context of propositional logic knowledge bases. The aim of this volume is to survey what has been done so far, to expand inconsistency measurement to other formalisms, to connect it with related topics, and to provide ideas for further research in a topic that is particularly relevant now in view of the many inconsistencies…

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]Logic[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]InconsistencyMeasure
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Data interoperability for a Multi-scale model (BIM/CIM/LIM)

2019

Compliance checking for building models, cities and territories involve formalizing a set of model schema knowledge and constraint. The objective of our study is to propose: an information model to federate heterogeneous data sources describing an urban area (building and building environment) along with a method for formally specifying of urban rules. The overall goal we pursue is to be able to query and to verify data against different regulations and/or requirements. The purpose of this article is to describe our approach for interoperability among different data sources (e.g. IFC, CityGML) thus creating a consistent description of an urban area.

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO]Semantic interoperability[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]CityGMLGISSIG[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]federation[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL]BIMIFCCIMFederation BIM[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation
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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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