Using Linked Data to improve personal knowledge management, document management and creativity techniques

1. A LASSO for Linked DataLookup & Alignment Service with Semantic Open Data Using Linked Data to improve personal knowledge management,document management and creativity techniques 09.09.11 www.lassoproject.org 1

2. Partners Gnowsis Neurovation punkt. netServices / Semantic Web Company TU-Graz 09.09.11 www.lassoproject.org 2

3. 09.09.11 www.lassoproject.org 3 Aims Improving recommendation of content and experts Creativity applications need inspiring suggestions Better entity extraction and disambiguation in text By using A knowledge model enriched with Linked Open Data Context from the user’s desktop

4. Challenges Correctly linking local knowledge models with LOD cloud (aka Lookup) Efficient elicitation and leveraging of context to find and properly disambiguate entities 09.09.11 www.lassoproject.org 4

5. Use Case 1 Thesaurus Managment 09.09.11 www.lassoproject.org 5

6. What is Thesaurus Management? 09.09.11 www.lassoproject.org 6

7. Why Thesaurus Management? Concept tagging (Synonym and multiple languages) Better (automatic) tag suggestions Improved content and expert suggestions Semantic search Search and browsing assistants 09.09.11 www.lassoproject.org 7

8. Why Thesaurus Management with Linked Data? Ease thesaurus creation and maintenance Improve disambiguation of entities Richer tagging and better classification of documents Enables semantic search services and content recommendation 09.09.11 www.lassoproject.org 8

9. Demo:PoolParty Tag and Content Recommender 09.09.11 www.lassoproject.org 9

10. Conventional LOD Alignment Simple Keyword Lookup mechanism 09.09.11 www.lassoproject.org 10

11. LOD Alignment with LASSO Improved LOD disambiguation by using context of knowledge model backgroundknowledgeofsearchtermshelpto „expandqueries“ bettersimilaritysearchbecauseofmoremetadata contentaugmentationthroughlinkeddata 11

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14. Leveragegrabbed LOD infoforcontentanalysis 14 Apple http://dbpedia/Apple Apple is in the process of launching an application to allow iPhone, iPad and iPod Touch users to purchase Apple merchandise straight from their devices. Apple Inc. http://dbpedia/Smartphone http://dbpedia/iPhone iPhone iPhone 3G http://dbpedia/iPhone3G iPhone 3GS

15. WikiSame – Confluence Plugin 09.09.11 www.lassoproject.org 15

16. More LASSO Thesaurus Features Semi-automatic population of thesaurus Classification of new concepts Classification of documents 09.09.11 www.lassoproject.org 16

17. Try PoolParty! Register for free at poolparty.biz Contact: t.schandl@semantic-web.at Twitter: @semwebcompany 17 09.09.11 www.lassoproject.org

18. Know Center Context Elicitation Framework Get a glimpse about the user’s current task Collect information Sensors capture interaction information “Low level” data From the operating system and the user applications, e.g. Outlook, Word, Firefox 09.09.11 www.lassoproject.org 18

19. 09.09.11 www.lassoproject.org 19 Know Center Context Elicitation Framework Aggregation Infer higher level concepts From keystrokes and mouse clicks to actions (copy+paste, open,…) and resources (documents, people or e-mails) Analyze relationships between resources with usage based rules Export results For further analysis and visualization

21. LASSO and Catching Inspirations in the LOD Cloud 09.09.11 www.lassoproject.org 21 Use Case 2

24. 09.09.11 24 An Inspiration Service using the LOD Cloud Context Lookup and Alignment Service User Feedback I never saw a purple cow. I never hope to see one. But I can tell you anyhow I'd rather see than be one. Ranking Service Ranked Inspirations Seth Godin Gelett Burgees www.lassoproject.org

25. Expected Results Context aware inspirations Image-word combinations have relations Inspirations can be fuzzy or sharp 09.09.11 www.lassoproject.org 25

26. Try it out! neurovation.net inspirationmachine.at Contact: stefan.wunder@neurovation.net Twitter: @neurovation 26 09.09.11 www.lassoproject.org

27. LASSO and Refinder www.getrefinder.com Use Case 3 www.lassoproject.org 27

28. Refinder: Collect, Curate, Communicate 28 40% of theworkforcein developedeconomies spend 45% of their time withinformationmanagement. For them, Refinder isthenext-generationtoolto findtherelevantthings in theinformationoverflow. Itismarketed as semanticenterprisesocialsoftware. 09.09.11 www.lassoproject.org

29. Communicate about social objects 29 09.09.11 www.lassoproject.org

30. Technology 30 09.09.11 www.lassoproject.org

31. Architecture 31 09.09.11 www.lassoproject.org

32. External Information Sources Refinder uses external information sources to enrich sparse user-provided data to provide focal points around which social objects gather Refinder is able to send rich queries to external data sources based on social objects (“things”) enriched with their attributes and context 32 09.09.11 www.lassoproject.org

33. Contextualized Social Objects Context of objects consists of: Static context: Characteristics, attributes Relations to other objects User comments Dynamic context: Determined based on usage tracking Optional user context elicitation module is under development 33 09.09.11 www.lassoproject.org

34. Integrating Linked Data Refinder is able to load any kind of RDF descriptions about resources. Refinder interprets rdf:type to determine how resources are displayed and ranked Each resource is indexed structured by property fulltext Share, comment, connect, … LOD resources 09.09.11 www.lassoproject.org 34

35. Example: Linked Open Data (DBpedia) Refinder analyzes a social object and its context and generates a query that is sent to DBpedia. Ranked results are presented to the user and can be imported and connected with one mouse click. 35 09.09.11 www.lassoproject.org

36. Example: Enterprise Thesaurus Poolparty Thesaurus offers an extraction & recommendation API, powered by LASSO research results Refinder sends contextualized queries to Poolparty and allows users to annotate social objects with thesaurus concepts 36 http://poolparty.punkt.at/ 09.09.11 www.lassoproject.org

37. LASSO Results in Refinder Gnowsis work in LASSO focusses on the improvement of the recommendation precision. Development of context elicitation algorithms Static: analyze existing objects and their relationships Dynamic: analyze user behavior and usage patterns Integration of contextualized lookup and alignment services into the Refinder platform. 37 09.09.11 www.lassoproject.org

38. Try it out! Register for free at www.getrefinder.com Contact: bernhard.schandl@gnowsis.com Twitter: @refinder 38 09.09.11 www.lassoproject.org

39. 09.09.11 www.lassoproject.org 39 Thank you Gnowsis - Refinderwww.getrefinder.com Know Center Grazhttp://know-center.tugraz.at/ Neurovationhttp://neurovation.net Semantic Web Company – PoolPartyhttp://poolparty.biz