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Efficient Processing of Semantic Information on the Web

Efficient Processing of Semantic Information on the Web. Georg Lausen Technische Fakultät Universität Freiburg. Processing of Semantic Information on the Web. The amount of available information o n W eb still is increasing rapidly . (Semi-)Automatic Data Extraction .

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Efficient Processing of Semantic Information on the Web

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  1. Efficient Processing ofSemantic Information on the Web Georg Lausen Technische Fakultät Universität Freiburg

  2. Processing ofSemantic Information on the Web • The amountof available information on Web still is increasingrapidly. • (Semi-)Automatic Data Extraction . • Resource Description Framework (RDF) . • SPARQL is the standard query language for RDF. • Efficiency and Scalability of query processing.

  3. Efficiency andScalability: A Varietyof Approaches • Single machine RDF stores • Parallel Database Approach: Verticaandothers • Approaches based on Hadoop (MapReduceParadigm) • Hadoop • Hadoop++ • Integration ofdatabases: HadoopDB • Language translation • Mapping SPARQL toHadoop/HBasedirectly • Mapping SPARQL toPigLatin • Non Hadoopclusters

  4. Cluster-basedParallelismvs Parallel Database/Single Machine RDF-Store Eachtechnologyhasitsownadvantagesandproblems. Roughcharacterization: Loading in thecontextof Web research: ExtractTransform Loadschema. SPARQL provides a declarativewayforspecifyingthetransformationandquerying.

  5. ETL andQuerying in thecontextof Web research Initial RDF graph T Web documents L RDF store E EfficientLoading Efficientquerying SPARQL PigSPARQL: Mapping SPARQL toPigLatin; toappearSemantic Web Information Management – SWIM 2011

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