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Apache Stanbol

Apache Stanbol provides reusable components for semantic content management, offering services for content enhancement, reasoning, knowledge modeling, and persistence. The key features include Content Enhancement Services, Reasoning Services, Knowledge Models Services, and Persistence Services.

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Apache Stanbol

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  1. Apache Stanbol

  2. Overview • Features overview • Components • StanbolContent Enhancer • Stanbol Entity Hub • Stanbol Content Hub • Stanbol Ontology • Technologies

  3. Features • Apache Stanbol provides a set of reusable components for semantic content management. • Apache Stanbol's main features are: • Content EnhancementServices that add semantic information to “non-semantic” pieces of content. • ReasoningServices that are able to retrieve additional semantic information about the content based on the semantic information retrieved via content enhancement. • Knowledge ModelsServices that are used to define and manipulate the data models (e.g. ontologies) that are used to store the semantic information. • PersistenceServices that store (or cache) semantic information, i.e. enhanced content, entities, facts, and make it searchable.

  4. Components • Enhancer: Extracts Knowledge from parsed Content • Entityhub: Manage Entities and Topics of Interest to your Domain • Contenthub: Semantic Indexing / Search over your - semantic enhanced - Content • CMS Adapter: Sync. your CMS with Apache Stanbol (JCR/CMIS) • Ontology Manager: Manage you formal Domain Knowledge • Reasoners& Rules: Apply Domain Knowledge to improve / validate extracted. • Information. Refactor / refine knowledge to align it to public schemas such as schema.org

  5. StanbolContent Enhancer • Entity Tagging - replacing text based tags such as "Bob Marley" with entities - dbpedia:Bob_Marley - to improve content search and categorization. • Entity Disambiguation - enhance the entity tagging experience by explicit support for disambiguation between different suggested entities. This allows users to explicitly link to Paris (Texas), Bob Marley (Comedian) or in between any other entities that do share similar labels. • Entity Checker - interact with extracted entities similar as with todays spellchecker: Show extracted/suggested dirtily within the content; Allow users to interact with suggestions and to disambiguate between different matches if necessary; Support search for additional/other entities.

  6. Stanbol Content Enhancer (II)

  7. Stanbol Content Enhancer (III) • Support for domain specific vocabularies

  8. Stanbol Content Enhancer (IV) • The following Languages are supported for Named Entity Recognition - and can therefore be used for Named entity Linking: • English (via NamedEntityTaggingEngine, OpenCalais) • Spansh (via NamedEntityTaggingEngine, OpenCalais) • Dutch ((via NamedEntityTaggingEngine) • French (via CELI NER engine, OpenCalais) • Italien (via CELI NER engine) • For the following languages NLP support is available to improve results when using the Keyword Extraction Engine: • Danish • Dutch • English • German • Portuguese • Spanish • Swedish

  9. Stanbol Content Enhancer (V)

  10. Stanbol Entity Hub • Responsible for providing the information about Entities relevant to the users domain. The following figure tries to provide an overview about the features of the Entityhub.

  11. Stanbol Content Hub • Add Semantic Search to your CMS • RESTfulFaceted Search Interface • Related Keyword Search using Entityhub, Ontonet or Wordnet • Improve Search by Semantic Indexing • Use the StanbolContenthub for semantic indexing

  12. Stanbol Ontology • Manage your Ontologies • and use/combine them in Scopes • Reasoning • on volatile Data loaded into a Sessions • consistency check / classification / enrichment • RDFS, OWL and OWL - 2 • Support for background Jobs • for long running reasoning tasks

  13. Stanbol Ontology

  14. StanbolOntology (Rules) • Stanbol Rules • Recipes: Manage a set of Rules that are executed together • Rules are converted to SWRL,Jena Rules or SPARQL CONSTRUCT depending on the available RuleEngine • Typical Use Cases • integrity checks for imported Data • harmonize Vocabularies e.g. simple SEO by using schema.org

  15. Technologies • Functionalities are provided as RESTful services returning results as RDF (Resource Description Language) and JSON. • Apache Stanbol also supports the use of JSON-LD. • Apache Stanbol can be run as a standalone application (packaged as a runable JAR) or as an web application (packaged as a WAR file) deployable in servlet containers such as Apache Tomcat. • Written in Java based on the OSGi as component framework. • Implemented using frameworks such as  • Apache Solr - for semantic search;  • Apache Tika - for plain text and metadata extraction;  • Apache OpenNLP - for natural language processing;  • Apache Clerezza and Apache Jena - as RDF and storage frameworks;  • Apache Felix as OSGi framework and  • Apache Sling for deployment.

  16. Technologies (II) • Stanbol Components provide • RESTful API • Java API and OSGI services • StanbolComponents do NOT depend on each other • however they can be easily combined

  17. Live DEMO http://dev.iks-project.eu:8081

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