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Session 1.4 sustainable urban delta knowledge and semantic search

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Talk at SEMANTiCS 2017
www.semantics.cc

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Session 1.4 sustainable urban delta knowledge and semantic search

  1. 1. SUD MODEL RVO Sustainable Urban Delta Dr. Evgeny Knutov John Walker KnowSyms B.V. / Semaku B.V. 18 Aug. 2017
  2. 2. PROBLEM STATEMENT SUD MODEL A system for the flexible management of a dynamic co- evolving document collection and knowledge structures in a focused domain. The work reported here is in the context of document and knowledge management activities in the context of the SUD data modelling project at RVO. Within a framework a vast amount of unstructured information becomes available in the form of different reports (primarily PDF) submitted by different companies, and experts. There is a need to automate the processing of these reports and to help domain experts to find and analyze the most important information, and turn this information into a knowledge base.
  3. 3. KNOWLEDGE AND LINKS documents and keywords knowledge interlinked documents and keywords
  4. 4. SUD ONTOLOGY BASICS • Ontology explains semantics of the information “how do we convey the meaning” • Formal naming and definition of types and interrelationships that formally exist in the described domain • Consists of triples or semantic triples • Triple represents subject-predicate-object • e.g. (RVO) - (located in) - (Utrecht)
  5. 5. ONTOLOGY BASICS OF THE SUD MODEL
  6. 6. SYSTEM OVERVIEW TERMS DOCUMENTS INDEX KNOWLEDGE ONTOLOGY TRIPLES QUERIES CLICKS FOUND DOCUMENT PIECES FOUND KNOWLEDGE AND RELATIONS SEARCH BOX High-level SUD environment overview
  7. 7. SUD ONTOLOGY • information is represented in triples • started with ~300 triples and counting • additional energy-related ontologies with >1000 triples • RDF format (industry standard) • “easily” add new instances and concepts • interchangeable ontologies (switch your SUD-related knowledge base on the fly)
  8. 8. SEARCH AND EXPLORE FOUND DOCUMENTS discovered documents and related places in the documents RELATED KNOWLEDGE discovered terms/keywords and relationships/connections
  9. 9. SEARCH AND EXPLORE (CONT.) • provides search and exploration functionality across the knowledge base(s) and all the documents • offers integration of the knowledge terms and triggers document (re-)search results refinement • adjustable search and viewing options • change your knowledge base on the fly • adjust the viewing option and the knowledge depth
  10. 10. BASIC DOCUMENT VIEW • basic view of the text snippets containing the found information • immediately get access to the original PDF document • highlighted term(s) and predefined wiki links
  11. 11. EXTENDED DOCUMENT VIEW • “enable detailed snippets” provides extra insight on the found document and keywords • virtually every aspect of the document presentation is internally adjustable • length of textual information, highlights, clickable links, etc.
  12. 12. RELATED KNOWLEDGE
  13. 13. RELATED KNOWLEDGE (CONT.) supplemental ontology
  14. 14. EXAMPLES AND SCENARIOS
  15. 15. EXAMPLE 1: MAIN EXPLORATION SCENARIO (CONT.) Challenges - Agriculture - Greenport - Venlo - Location - Eindhoven - Brainport
  16. 16. EXAMPLE 2: ADDING NEW KNOWLEDGE ELEMENT • search for “challenge” (currently results in 12 challenge types) • adding new “security” challenge (aka new “Challenge”class individual)
  17. 17. EXAMPLE 2: ADDING NEW ONTOLOGY ELEMENT (CONT.2) • in the main search you will have a possibility to explore more challenges thus narrow down document search • thus the whole new types of challenges become instantly discoverable in the whole document set
  18. 18. EXAMPLE 5: KNOWLEDGE INTEROPERABILITY • switch the knowledge on the fly • use different knowledge with the same documents
  19. 19. EXAMPLE 5: KNOWLEDGE INTEROPERABILITY (CONT.) • or the same knowledge with a different document set (not in the system) • system is agnostic to the documents and/or the knowledge • can be used throughout multiple domains
  20. 20. EXAMPLE 6: EXTENDING KNOWLEDGE • Extending the knowledge beyond the concerned domain (e.g. Wikipedia or DBpedia) • incorporating in the ontology • using external features
  21. 21. TAKING IT ONE STEP FURTHER • lots of possibilities to adjust and enrich the system functionality • interchanging ontologies and document sets • user feedback: system becomes better when users decide on the documents relevancy • automatic summarization on a certain topic • automatic report generation • custom features, etc. etc.
  22. 22. COMBINED AND INTERCHANGEABLE KNOWLEDGE • Combine knowledge from multiple sources • e.g. via federated queries among multiple knowledge bases including “SUDmodel” • general accepted knowledge such as DBpedia (Wikipedia of concepts) • easily re-use ontologies from a different domain • use current knowledge with the different document set • can be used with the external document supplier (with a generic formatting/schema)
  23. 23. OTHER VERSIONS ❖ Heat and Energy -related ❖ Separation technology -related ❖ Map integration ❖ Plain version (sandbox)
  24. 24. TECHNICAL DETAILS OF THE ENVIRONMENT • runs on the Ubuntu 16.04 LTS server OS • uses open-source third party solutions • Apache Solr 4.10 - 6.10 • Apache Fuseki 2.4.1 • Apache HTTP2 server • custom build JavaScript framework
  25. 25. THANKS TO Marion Bakker Tom Monne
  26. 26. QUESTIONS?

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