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Enhancing Data Pools with Semantic Techniques

Explore the key approaches and techniques for semantic enhancement of data pools, including SW standards, RDF, OWL, and LOD. Learn about semantic search, mediation, annotation, and analytics. Discover experiences with Apache Stanbol and LMF integration for further enhancement and insight.

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Enhancing Data Pools with Semantic Techniques

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  1. Semantic Enhancement: Key to Massive and Heterogeneous Data Pools Violeta Damjanovic, Thomas Kurz, Rupert Westenthaler, Wernher Behrendt, Andreas Gruber, Sebastian Schaffert Salzburg Research September 19-22, 2011 ERK 2011, Portoroz, Slovenia

  2. Outline • Introduction • Background: Semantic Enhancement Approaches and Techniques • Experiences: Semantic Enhancement via Apache Stanbol and LMF (Linked Media Framework) • Further Integration • Conclusion

  3. Background: Semantic Enhancement Approaches and Techniques • SW: „a dream for the Web [in which computers] become capable of analysing all the data on the Web – the content, links, and transactions between people and computers“ (1999, T.B. Lee & M. Fischetti) • SW standards and directions • RDF: a framework for presenting information on the Web • OWL: a language designed for apps that need to process the content of information • LOD: a way to bootstrap the SW by publishing and interconnecting datasets using RDF

  4. Background: Semantic Enhancement Approaches and Techniques • Semantic search and browsing • Semantic mediation: merging and mapping • Semantic annotation • Semantic analytics and knowledge discovery

  5. Background: Semantic Enhancement Approaches and Techniques • Semantic search and browsing • Augmenting traditional keyword search with SW technologies • Basic concept location (e.g. multi-faceted search, sematic auto-completion, search behavior research...) • Complex constraint queries for creating query patterns as intuitively as possible • Problem solving • Connecting path discovery

  6. Background: Semantic Enhancement Approaches and Techniques • Semantic mediation: merging and mapping • Merging: unifies two or more ontologies with overlapping parts into a single ontology that includes all information from the sources • Mapping: builds the mapping statement that define relationships between concepts of ontologies and rules that specify transformation between two ontologies

  7. Background: Semantic Enhancement Approaches and Techniques • Semantic annotation • General frameworks: W3C Annotea, CREAM • Semantic analytics and knowledge discovery • Processing of queries on LOD • Federated and centralized approaches • Link traversal-based query execution • Query federation

  8. Experiences: Semantic Enhancement via Apache Stanbol and LMF • Apache Stanbol (FP7 IP IKS project)

  9. Experiences: Semantic Enhancement via Apache Stanbol and LMF • LMF (Linked Media Framework)

  10. Linked Media Principles • LMF implements the following extensions to Linked Data: • it extends the Linked Data principles with RESTful principles for addition, modification, and deletion of resources • it extends the Linked Data principles by means to manage content and meta-data alike resources using MIME to URL mapping

  11. LMF Service-oriented Architecture • LMF Core (implements extensions to Linked Data) • Linked Data Server • LMF SPARQL endpoint (querying the data within the LMF) • LMF Semantic Search (search based on Apache SOLR) • LMF Linked Data Cache (implements a cache to the LOD Cloud that is used when querying the content of the LMF) • LMF Reasoner(a rule-based reasoner) • LMF Permissions • LMF Enhancer • LMF Media Interlinking • LMF Versioning

  12. Further Integration • LMF Enhancer component < --- > Stanbol Enhancer • LMF Reasoner < --- > Stanbol Reasoner

  13. Conclusion • Apache Stanbol: http://incubator.apache.org/stanbol/ • LMF: http://semanticweb.org/wiki/LinkedMediaFrameworkhttp://code.google.com/p/kiwi/

  14. Thank you for your attention

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