Semantic Enhancement: Key to Massive and Heterogeneous Data Pools Violeta Damjanovic, Thomas Kurz, Rupert Westenthaler, Wernher Behrendt, Andreas Gruber,

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, 2011ERK 2011, Portoroz, Slovenia

Outline

• Introduction • Background: Semantic Enhancement

Approaches and Techniques • Experiences: Semantic Enhancement via

Apache Stanbol and LMF (Linked Media Framework)

• Further Integration • Conclusion

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

Background: Semantic Enhancement Approaches and Techniques

• Semantic search and browsing• Semantic mediation: merging and mapping• Semantic annotation• Semantic analytics and knowledge discovery

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

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

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

Experiences: Semantic Enhancement via Apache Stanbol and LMF

• Apache Stanbol (FP7 IP IKS project)

Experiences: Semantic Enhancement via Apache Stanbol and LMF

• LMF (Linked Media Framework)

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

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

Further Integration

• LMF Enhancer component < --- > Stanbol Enhancer

• LMF Reasoner < --- > Stanbol Reasoner

Conclusion

• Apache Stanbol: http://incubator.apache.org/stanbol/

• LMF: http://semanticweb.org/wiki/LinkedMediaFramework http://code.google.com/p/kiwi/

Thank you for your attention