Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Linked Data Management


Published on

Linked data is a mature technology to integrate data from different sources. This slidedeck shows how to use linked data and semantic web technolgies in the enterprise context. Use cases are semantic search, business intelligence, text mining and 360 degrees views on data sources

Published in: Technology
  • Be the first to comment

Linked Data Management

  1. 1. Andreas Blumauer Florian Kondert Semantic Web Company Linked Data Management Connecting the dots in a world of distributed systems powered by
  2. 2. About Us <ul><li>Florian Kondert Customer Care </li></ul>Semantic Web Company GmbH (Vienna, Austria) © Semantic Web Company – <ul><li>use open standards from the semantic web </li></ul><ul><li>use linked data technologies in enterprises </li></ul><ul><li>professional thesaurus & metadata management </li></ul><ul><li>enterprise semantic search & text mining </li></ul><ul><li>embed semantic technologies in common enterprise systems </li></ul><ul><li>More information: </li></ul>Andreas Blumauer CEO
  3. 3. Outline <ul><li>Brief introduction to linked data </li></ul><ul><li>Three business cases for linked data </li></ul><ul><li>How to create and manage linked data </li></ul><ul><li>Linked data management with PoolParty </li></ul><ul><li>Examples & Demos </li></ul><ul><li>Conclusion </li></ul>© Semantic Web Company –
  4. 4. Brief introduction to Linked Data © Semantic Web Company – Putting the pieces together the agile way
  5. 5. Connecting the dots in a world of distributed systems <ul><li>All the information to answer even complex questions is usually available </li></ul><ul><li>But: the information is scattered across different sources and not connected yet </li></ul><ul><li>Thus users/employees usually need a lot of time to connect the dots if it comes to rather complex tasks </li></ul><ul><li>We think that linked data is a proper approach to solve this common problem in a world of distributed systems </li></ul>© Semantic Web Company –
  6. 6. Which Austrian skiers are sponsored by Red Bull and were born in Carinthia? © Semantic Web Company – <ul><li>Who is sponsored by Red Bull? </li></ul><ul><li>Who was born at which place? </li></ul><ul><li>Which places are located in Carinthia? </li></ul>
  7. 7. Which skiers are sponsored by Red Bull and were born in Carinthia? © Semantic Web Company – Which places are located in Carinthia? Who is sponsored by Red Bull? Who was born at which place?
  8. 8. Which skiers are sponsored by Red Bull and were born in Carinthia? © Semantic Web Company – Thomas Morgenstern
  9. 9. Querying your own way - Use your own vocabulary but retrieve all the data! <ul><li>Introducing resources and URIs (Uniform Resource Identifier) </li></ul><ul><li>Linked Data is based on Semantic Web technologies </li></ul>© Semantic Web Company – „ SMARTY-1“ @en preferred label „ S-Jell 23X_34 “ @en „ S-Jell 23X_34 “ @de „ SMARTY-eins“ @de alternative label preferred label alternative label In welchen Farben ist S-Jell 23X_34 erhältlich? In which colors is SMARTY-1 available?
  10. 10. The same object but many names, different views, various roles and tasks Marketing Production Smarty-1 is our top-seller! S-Jell 23X_34´s OS is a disaster… © Semantic Web Company – What makes a product successful? BI
  11. 11. Scattered data pools Marketing Production Quality Assurance © Semantic Web Company – Data Warehouse
  12. 12. Queries over different sources © Semantic Web Company – Which products have a revenue higher than x€ and an OS of type abc? is same as Marketing Smarty-1 <ul><li>colors </li></ul><ul><li>revenue </li></ul><ul><li>price </li></ul>Production S-Jell 23X_34 <ul><li>battery </li></ul><ul><li>display </li></ul><ul><li>OS </li></ul>
  13. 13. Business intelligence – the next level © Semantic Web Company – Which products have a revenue higher than x€ and an OS of type ABC and are best sold in stores in region x,y and z? Marketing Smarty-1 <ul><li>colors </li></ul><ul><li>revenue </li></ul><ul><li>price </li></ul>Production S-Jell 23X_34 <ul><li>battery </li></ul><ul><li>display </li></ul><ul><li>OS </li></ul>
  14. 14. Really complex queries: Generated by end-users © Semantic Web Company – <ul><li>Which airlines are owned by Lufthansa and have their hub airport in Munich? </li></ul><ul><li>DBpedia </li></ul><ul><li> </li></ul><ul><li> </li></ul>
  15. 15. Linked Data: Graph-based data model based on open standards <ul><li>Which kind of knowledge about certain things is relevant or not? Most often this can´t be described at the beginning of a project. </li></ul><ul><li>Linked Data is the agile way to handle data from different sources to serve various mind-sets & complex tasks. </li></ul>© Semantic Web Company – Which Twitter users are the most influential ones and tweet about Smarty-1?
  16. 16. Data integration – the traditional way © Semantic Web Company – Data integration realised at application layer  Implicit conceptual model
  17. 17. Data integration – the linked data way © Semantic Web Company – Integration on data level Application on top of explicit conceptual model
  18. 18. What is Linked Data? <ul><li>Linked Data is most of all a data integration technology </li></ul><ul><ul><li>Data is not necessarily stored as RDF </li></ul></ul><ul><li>Linked Data technologies support data integration especially in dynamic & distributed environments </li></ul><ul><ul><li>Large enterprises </li></ul></ul><ul><ul><li>Inter-Government organisations & NGOs </li></ul></ul><ul><ul><li>WWW </li></ul></ul><ul><li>Linked Data (Semantic Web) technologies make conceptual models behind the data visible and explicit </li></ul>© Semantic Web Company –
  19. 19. 3 flavours of linked data integration <ul><li>Use Linked Data from the web </li></ul><ul><li>Publish Linked Open Data on the web </li></ul><ul><li>Make use of Linked Data principles internally </li></ul>© Semantic Web Company –
  20. 20. Putting the pieces together - the agile way <ul><li>Graph-based data models can be grown the agile way. </li></ul><ul><li>Just like your business! </li></ul>© Semantic Web Company –
  21. 21. Organisations using linked data: Enterprise-ready, isn´t it? © Semantic Web Company –
  22. 22. Business cases for linked data © Semantic Web Company – Get started!
  23. 23. Business Case – medical record Improve time critical processes © Semantic Web Company – Which medication has been suggested in similar cases? Current file Archived files Drug base Suggested action items
  24. 24. Business Case – information broker Better re-use of exisiting information © Semantic Web Company –
  25. 25. Living examples © Semantic Web Company –
  26. 26. Business Case – service provider Improve cost-intensive processes © Semantic Web Company – Billing Complaint Support Servicecenter
  27. 27. Semantic & Linked Data Functionalities Autocomplete functions Tag Recommendations Similar Documents Recommender Facetted Browsing Corporate thesauri Multilingual Search Semantic Search Engines © Semantic Web Company – Content Enrichments 360°Views
  28. 28. Use Case – medical record © Semantic Web Company – Which medication has been suggested in similar cases? Report : Used medication Result Recommendations Comments Author Current file Archived files Drug base
  29. 29. Use Case – information broker © Semantic Web Company – My profile My prefered topics:
  30. 30. Use Case – service provider © Semantic Web Company – Servicecenter My profile
  31. 31. How to create and manage linked data © Semantic Web Company – Data integration, the cost efficient way
  32. 32. Linked Data Life Cycle & Tools © Semantic Web Company – Credits to: Sören Auer
  33. 33. Create Linked Data - Some technologies I‘d like to mention <ul><li>from databases: D2RQ, triplify, Virtuoso RDF Views, … </li></ul><ul><li>from spreadsheets, XML etc.: Google Refine, … </li></ul><ul><li>from HTML/microdata/RDFa: any23, … </li></ul><ul><li>from (unstructured) text: PoolParty Extractor, DBpedia Spotlight, … </li></ul><ul><li>by hand: PoolParty Thesaurus Manager, OntoWiki, … </li></ul>© Semantic Web Company –
  34. 34. Interlink: Linked Data Alignment <ul><li>SILK : tool for discovering relationships between data items within different Linked Data sources </li></ul><ul><li>LIMES : a link discovery framework for the Web of Data. </li></ul><ul><li>LASSO : lookup service which helps to augment already existing, formalized knowledge with facts from the Linked Open Data (LOD) cloud </li></ul>© Semantic Web Company –
  35. 35. Searching for and querying over Linked Data <ul><li>Sindice : Billion pieces of reusable information can already be found across hundreds of millions web pages which embed RDF and Microformats. Start consuming this data today with Sindice Data Web services. </li></ul><ul><li>LOD Lookup powered by Virtuoso : Lookup and search over the LOD cloud. </li></ul><ul><li>Linked Life Data powered by OWLIM : LinkedLifeData is a platform for semantic data integration trough RDF warehousing and efficient reasoning that helps to resolve conflicts in the data. </li></ul>© Semantic Web Company –
  36. 36. Queries over a lot of sources - And with „a lot“ I mean „a lot“ © Semantic Web Company – <ul><li>“ Which drugs are related to asthma that are linked to a curated molecular interaction in the literature where the protein is known to cause inflammatory response?” </li></ul><ul><li>Drugbank </li></ul><ul><li>Uniprot </li></ul><ul><li>Biopax </li></ul>
  37. 37. Linked data management with PoolParty © Semantic Web Company –
  38. 38. About PoolParty © Semantic Web Company – PPT : manage metadata & make use of linked data PPX : extract meaning & „ normalize“ metadata PPS : find information in a structured way
  39. 39. Architecture publish enrich Integrated view & search index mapping © Semantic Web Company –
  40. 40. PoolParty Thesaurus Management (PPT) <ul><li>Usability , W3C Semantic Web standards, Enterprise ready, System integration </li></ul>© Semantic Web Company –
  41. 41. Linked Data Management with PoolParty Enrich your knowledge model © Semantic Web Company –
  42. 42. Linked Data Publishing with PoolParty © Semantic Web Company –
  43. 43. Linked Data Management with PoolParty Interlink your knowledge models © Semantic Web Company –
  44. 44. Text Mining with PPX Add meaning to your documents © Semantic Web Company –
  45. 45. Metadata mapping with PPX Integrate your data sources <person> Thomas Miller </person> Source 1 <employee> Tom Miller </employee> Source 2 © Semantic Web Company –
  46. 46. PoolParty Search (PPS) <ul><li>Faceted Auto-Complete </li></ul><ul><li>Faceted Search </li></ul><ul><li>Thesaurus-based Search </li></ul><ul><li>Similarity Search </li></ul><ul><li>Query Expansion </li></ul><ul><li>Multi-lingual Search </li></ul><ul><li>Search Basket </li></ul> © Semantic Web Company –
  47. 47. Example:
  48. 48. Conclusion – What can Linked Data do for you? <ul><li>make the meaning of data and information more explicit, visible and linkable </li></ul><ul><li>data integration from different sources in dynamic environments, incl. the WWW </li></ul><ul><li>generate search functionalities and reports on top of integrated data in a cost efficient way </li></ul><ul><li>use the web and web technologies to publish data and/or metadata to leverage the value of your assets </li></ul>© Semantic Web Company –
  49. 49. Linked Data: Links and resources <ul><li>Semantic Web Company </li></ul><ul><li>DBpedia </li></ul><ul><li>Geonames </li></ul><ul><li>D2RQ </li></ul><ul><li>Triplify </li></ul><ul><li>Virtuoso </li></ul><ul><li>Google Refine </li></ul><ul><li>Any23 </li></ul><ul><li>DBpedia Spotlight </li></ul><ul><li>PoolParty </li></ul><ul><li>ScOT </li></ul><ul><li>SILK </li></ul><ul><li>LIMES </li></ul><ul><li>LASSO </li></ul><ul><li>Sindice </li></ul>© Semantic Web Company –
  50. 50. Contact <ul><li>Florian Kondert Customer Care [email_address] </li></ul>Semantic Web Company GmbH Mariahilfer Strasse 70/8 1070 Vienna Austria Andreas Blumauer CEO [email_address] © Semantic Web Company –