Intelligent Information Management

Intelligent Information Management

ISSN Print: 2160-5912
ISSN Online: 2160-5920
www.scirp.org/journal/iim
E-mail: iim@scirp.org
"A State-of-the-Art Survey on Semantic Web Mining"
written by Qudamah K. Quboa, Mohamad Saraee,
published by Intelligent Information Management, Vol.5 No.1, 2013
has been cited by the following article(s):
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[2] Mining the semantic Web for OWL axioms
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[3] Application of Harmony Search Algorithm to Optimize SPARQL Protocol and Resource Description Framework Query Language Queries in Healthcare Data
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[5] Critical review of web mining for learning ontologies
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[6] Semantic Web and Data Visualization
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[7] An Integrated approach for process in knowledge discovery on World Wide Web (Internet) using web mining.
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[8] Ontological emergence scheme in self-organized and emerging systems
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[9] ESQUEMAS DE APRENDIZAJE ONTOLOGICO PARA SISTEMAS AUTO-ORGANIZADOS Y EMERGENTES
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[10] Data-driven Assessment of Structural Evolution of RDF Graphs
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[11] Benefit from domain ontologies and rule mining to improve truth discovery Benefit from domain ontologies and rule mining to improve truth discovery
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[12] Combining Truth Discovery and RDF Knowledge Bases to Their Mutual Advantage
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[13] Data veracity assessment: enhancing Truth Discovery using a priori knowledge
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[14] évaluation de la véracité des données: améliorer la découverte de la vérité en utilisant des connaissances a priori
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[15] Semantic Web Mining: Survey and Analysis
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[16] SEMANTIC CHAMELEON CLUSTERING ANALYSIS ALGORITHM WITH RECOMMENDATION RULES FOR EFFICIENT WEB USAGE MINING
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[17] Measuring structural similarity between RDF graphs
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[18] Exploiting semantic web knowledge graphs in data mining
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[19] How Truth Discovery can benefit from RDF Knowledge Bases and vice versa
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[20] IntegraWeb: uma proposta de arquitetura baseada em mapeamentos semânticos e técnicas de mineração de dados
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[21] Algoritam transformacije ontologije u strukturu taksonomije za evidencijsko zakljuˇcivanj
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[22] Track Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track
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[23] Towards a Semantic Outlier Detection Framework in Wireless Sensor Networks
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[24] Contribution à la recherche de vérité: modèles exploitant des règles d'association extraites d'une base de connaissances.
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[25] MiR-EO: Middleware Reflexivo para la Emergencia Ontológica en Ambientes Inteligentes MiR-EO: Reflective Middleware for Ontological Emergency in Intelligent …
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[26] Semantic Web Mining a knowledge digger
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[27] MiR-EO: Middleware Reflexivo para la Emergencia Ontológica en Ambientes Inteligentes
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[28] Review on Information Extraction from Unstructured Data using XML and RDF
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[29] Semantic Web in data mining and knowledge discovery: A comprehensive survey
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[30] Semantic Aware Bayesian Network Model for Actionable Knowledge Discovery in Linked Data
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[31] Estrazione di regole di associazione da dati RDF
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[32] A Study on Semantic Searching, Semantic Search Engines and Technologies Used for Semantic Search Engines
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[33] Sematic Web Mining Using Fuzzy C-means Algorithm
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[34] Parsing and Mapping of OWL Ontology Using MapReduce into Hadoop
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[35] MiR-EO: Reflective Middleware for Ontological Emergency in Intelligent Environments
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[36] Bases de Datos Semánticas
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[37] Information extraction from unstructured data using RDF
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[38] Knowledge abstraction from textural features of brain MRI images for diagnosing brain tumor using statistical techniques and associative classification
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[39] Semantic Prediction Assistant Approach applied to Energy Efficiency in Tertiary Buildings
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[40] Opinion mining to strengthen teaching learning process
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[41] 模式级链接关联数据集上的关联规则挖掘研究
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[42] Performance Evaluation of Keyword and Semantic based Search Engines-An Empirical Study
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[43] Extração e Mineração de Informação Independente de Domínios da Web na Língua Portuguesa
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[44] Integración de Ontologías desde el punto de vista de Minería Ontológica y del Paradigma de Arquitecturas Orientadas a Servicios.
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[45] New trends on e-Procurement applying semantic technologies: Current status and future challenges
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[46] Une Enquête du Web Mining et Ses Applications
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[47] Metadata og roboter for web-analyse
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[48] Semantic Web Mining: Survey
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