Search results for "Ontology learning"

showing 3 items of 3 documents

Semantic HMC for Big Data Analysis

2014

International audience; Analyzing Big Data can help corporations to im-prove their efficiency. In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non-supervised Ontology learning process. We also proposea Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.

FOS: Computer and information sciences[ INFO.INFO-TT ] Computer Science [cs]/Document and Text Processingmulti-classifyComputer scienceComputer Science - Artificial IntelligenceBig data[ INFO.INFO-WB ] Computer Science [cs]/Websemantic technologies02 engineering and technologyOntology (information science)Semantic data model[ INFO.INFO-DC ] Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Semantic similarity020204 information systemsSemantic computing0202 electrical engineering electronic engineering information engineeringontologyInformation retrievalOntology learningbusiness.industryOntology-based data integration[INFO.INFO-WB]Computer Science [cs]/WebBig-Data[INFO.INFO-TT]Computer Science [cs]/Document and Text ProcessingArtificial Intelligence (cs.AI)machine learningOntologySemantic technologyIndex Terms—classification020201 artificial intelligence & image processing[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]business
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Artificial learning approaches for the nextgeneration Web: Part I

2008

Resumen en: In this paper we present an ontology learning tool for assembling and visualizing ontology components from a specific domain for the semantic web. The fo...

Information retrievalOntology learningComputer scienceOntology componentsSemantic WebDomain (software engineering)Ingeniería, investigación y tecnología
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A Structural Approach to Infer Recurrent Relations in Data

2014

Extracting knowledge from a great amount of collected data has been a key problem in Artificial Intelligence during the last decades. In this context, the word "knowledge" refers to the non trivial new relations not easily deducible from the observation of the data. Several approaches have been used to accomplish this task, ranging from statistical to structural methods, often heavily dependent on the particular problem of interest. In this work we propose a system for knowledge extraction that exploits the power of an ontology approach. Ontology is used to describe, organise and discover new knowledge. To show the effectiveness of our system in extracting and generalising the knowledge emb…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniOntology learningbusiness.industryComputer scienceContext (language use)Ontology (information science)Machine learningcomputer.software_genrePattern recognition MDL OntologiesGrammar inductionKnowledge extractionKey (cryptography)OntologyArtificial intelligencebusinesscomputerWord (computer architecture)
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