Search results for "RULE"

showing 10 items of 1403 documents

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…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Federated Ontology ArchitectureComputer scienceProcess (engineering)Distributed computing[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Ontology (information science)SPARQL[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]World Wide WebSPARQLArchitecture[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebComputingMilieux_MISCELLANEOUSSWRLOWLHorn-like rules[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO]computer.file_formatSemantic interoperabilityData structuresemantic interoperabilitybackward-chaining reasoningInformation and Communications Technologycomputer
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Event-Based Trajectory Prediction Using Spiking Neural Networks

2021

International audience; In recent years, event-based sensors have been combined with spiking neural networks (SNNs) to create a new generation of bio-inspired artificial vision systems. These systems can process spatio-temporal data in real time, and are highly energy efficient. In this study, we used a new hybrid event-based camera in conjunction with a multi-layer spiking neural network trained with a spike-timing-dependent plasticity learning rule. We showed that neurons learn from repeated and correlated spatio-temporal patterns in an unsupervised way and become selective to motion features, such as direction and speed. This motion selectivity can then be used to predict ball trajectory…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]PolynomialComputer scienceNeuroscience (miscellaneous)Neurosciences. Biological psychiatry. Neuropsychiatry02 engineering and technologyunsupervised learningSNN[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]STDP03 medical and health sciencesCellular and Molecular Neuroscience0302 clinical medicineLearning rule0202 electrical engineering electronic engineering information engineeringEvent (probability theory)Original ResearchSpiking neural networkQuantitative Biology::Neurons and Cognitionmotion selectivitybusiness.industry[SCCO.NEUR]Cognitive science/Neuroscience[SCCO.NEUR] Cognitive science/NeuroscienceProcess (computing)Pattern recognitionspiking cameraTrajectoryball trajectory predictionUnsupervised learning020201 artificial intelligence & image processingArtificial intelligencebusiness030217 neurology & neurosurgeryEfficient energy useNeuroscienceRC321-571Frontiers in Computational Neuroscience
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ArchaeoKM: Managing Archaeological data through Archaeological Knowledge

2010

International audience; Nowadays, the use of ontologies in the field of the archaeology is a new direction of research that is not fully tested. Some results are very encouraging and challenge the vision of archaeological sites which cannot be modeled semantically. Most of the re-searches based on ontology technologies in the arc-haeology domain are based on the research of finding on a common ground for the interoperability and the integration of data. Papers like (LANG 2009), (KOLLIAS 2008) cover these research. The project ArchaeoKM is a shift from such researches. It focus-es on using the knowledge possessed by the archaeo-logists to model the data of an archaeological project, and to d…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory[ SHS.ARCHEO ] Humanities and Social Sciences/Archaeology and Prehistoryrulesindustrial archaeology[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]ontology[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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A Federated Approach for Interoperating AEC/FM Ontologies

2016

International audience; Over the last few years, the benefits of applying ontologies (semantic graph modelling) for Architecture, Engineering, Construction and Facility Management (AEC/FM) industry have been recognized by several researchers and industry stakeholders. One of the main motivations is because it eases AEC data manipulation and representation. However, a research question that still remains open is how to take advantage of semantic web technologies to interoperate the AEC/FM and other ontologies in a flexible and dynamical way in order to solve data structure heterogeneity problem. Because of this, we propose in this paper to apply a rule-based federated architecture to answer …

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO.INFO-WB] Computer Science [cs]/WebHorn-like rules[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-WB]Computer Science [cs]/Web[ INFO.INFO-WB ] Computer Science [cs]/WebifcOWLinteroperability[ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]federated architecture[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]AECsemantic heterogeneity[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]
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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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THE IMAGE PROTECTOR A Flexible Security Rule Specification Toolkit

2011

International audience; The tremendous sharing of multimedia objects on the web shed the light on several privacy concerns related in essence to the safe publishing of end users' personal data. Providing techniques to protect multimedia objects faces several difficulties due to multimedia objects' heterogeneous and complex structure on one hand, and on the other hand, the wide range of information that could be used to describe their content. In this paper, we present a flexible security rule specification toolkit for multimedia objects. Our toolkit is based on a security model and a core ontology in which we populate the model's related information and multimedia objects data. To specify s…

[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Multimedia Security[SCCO.COMP] Cognitive science/Computer science[ SCCO.COMP ] Cognitive science/Computer science[SCCO.COMP]Cognitive science/Computer scienceContent ProtectionPrivacy Preserving Security Rules[ INFO.INFO-CR ] Computer Science [cs]/Cryptography and Security [cs.CR]Security RulesPrivacy Preserving[INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]
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Adding Knowledge Extracted by Association Rules into Similarity Queries

2010

International audience; In this paper, we propose new techniques to improve the quality of similarity queries over image databases performing association rule mining over textual descriptions and automatically extracted features of the image content. Based on the knowledge mined, each query posed is rewritten in order to better meet the user expectations. We propose an extension of SQL aimed at exploring mining processes over complex data, generating association rules that extract semantic information from the textual description superimposed to the extracted features, thereafter using them to rewrite the queries. As a result, the system obtains results closer to the user expectation than i…

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/Webuser expectation[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM][ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer scienceInformationSystems_DATABASEMANAGEMENTsimilarity queriescontent-based retrievalassociation rules[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][SCCO.COMP] Cognitive science/Computer science[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB][INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]SQL extensionquery rewriting[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]
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Spatial Rules through Spatial Rule built-ins in SWRL

2010

International audience; The paper presents a method to include spatial rule within rule languages like SWRL to infer spatial rules within semantic web framework. The concept presented here could benefit both geospatial community as they benefit using the adjusted knowledge base to infer spatial rule and semantic web community as the inclusion of spatial data in its framework

[INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB][INFO.INFO-WB] Computer Science [cs]/Web[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM][ INFO.INFO-WB ] Computer Science [cs]/WebSpatial data[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Knowledge ManagementInference Rules[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Geospatial AnalysisJGRCS[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM]Semantic Web
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Temporal Logic To Query Semantic Graphs Using The Model Checking Method

2012

International audience; Semantic interoperability problems have found their solutions due to the use of languages and techniques from the Semantic Web. The proliferations of ontologies and meta-information have improved the understanding of information and the relevance of search engine responses. However, the construction of semantic graphs is a source of numerous errors of interpretation or modeling, and scalability remains a major problem. The processing of large semantic graphs is a limit to the use of semantics in current information systems. The work presented in this paper is part of a new research at the border of two areas: the semantic web and the model checking. This line of rese…

[INFO.INFO-WB] Computer Science [cs]/WebComputer science[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE][ INFO.INFO-WB ] Computer Science [cs]/WebSPARQL.02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][ INFO.INFO-SE ] Computer Science [cs]/Software Engineering [cs.SE]Ontology (information science)computer.software_genreQuery languagetemporal logic querySPARQLSocial Semantic WebSearch engineDescription logicSemantic similaritytemporal logicArtificial IntelligenceWeb query classificationSemantic computing0202 electrical engineering electronic engineering information engineeringInformation systemSemantic analyticsSPARQLSemantic Web StackRDFSemantic Webcomputer.programming_language[INFO.INFO-SC]Computer Science [cs]/Symbolic Computation [cs.SC]Web search querySemantic Web Rule LanguageProgramming languagebusiness.industry[INFO.INFO-SC] Computer Science [cs]/Symbolic Computation [cs.SC][INFO.INFO-WB]Computer Science [cs]/Web020207 software engineeringcomputer.file_formatSemantic interoperabilitymodel checking[ INFO.INFO-SC ] Computer Science [cs]/Symbolic Computation [cs.SC]Human-Computer InteractionSemantic graph020201 artificial intelligence & image processingbusinesscomputerSoftwareRDF query language
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ECO-generation for some restricted classes of compositions

2013

International audience; We study several restricted classes of compositions by giving one-to-one maps between them and different classes of restricted binary strings or pattern avoiding permutations. Inspired by the ECO method, new succession rules for these classes are presented. Finally, we obtain generating algorithms in Constant Amortized Time (CAT) for theses classes.

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO]succession ruleComposition of an integerECO method[MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]lcsh:Electronic computers. Computer science[ MATH.MATH-CO ] Mathematics [math]/Combinatorics [math.CO]generating treepattern avoiding permutationlcsh:QA75.5-76.95
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