Exploratory Search upon Semantically Described Web Data Sources: Service registration and methodology. At vldb2012

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This presentation was given at the SSW workshop, collocated with VLDB 2012.

Exploratory search applications upon structured Web content is becoming one of the main information seeking paradigms for users. This is mainly due to the move towards mobile and pervasive Web access and to the more and more tight intertwining between everyday life and information seeking.

Structured data is typically distributed on the Web and accessible through a service-oriented paradigm. This paper proposes a vision on: (1) a semantically-enabled service registration framework for describing in a Web data services in a convenient way; and (2) a design method for applications that exploit such model using a design pattern -based method.

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Exploratory Search upon Semantically Described Web Data Sources: Service registration and methodology. At vldb2012

  1. 1. Exploratory Search upon Semantically Described Web Data Sources Marco Brambilla Politecnico di Milano marco.brambilla@polimi.it marcobrambi SSW workshop @ VLDB 2012, Istanbul, Turkey
  2. 2. Outline• Context• Search Services Specification • Description • Semantic Annotation• Exploratory Search• Design patterns• Demo• Outlook
  3. 3. ContextWeb is a huge, heterogeneous data source: Structured, unstructured and semi-structured data Known problems of trust, reputation, consistencyUser needs to solve real-life problems, not to find a web site
  4. 4. ContextGoogle? Well, yes… an “interesting” system
  5. 5. ContextUser needs to solve real-life problems, not to find a web site Web queries get increasingly complex and specialized Exploratory search From document search to object searchSearch as a service Viability of systems based upon search service orchestration
  6. 6. What are search services?• APIs over Web data sources • Structured data • Domain-specific• Wrapping of information utility sites
  7. 7. How can we use them?• Applying complex queries (also with “joins”)“… search for upcoming concerts close to an attractive location (like a beach, lake, mountain, natural park, and so on), considering also availability of good, close-by hotels …”
  8. 8. Background: semantic multi-domain search “… expand the search to get information about available restaurants near the candidate concert locations, news associated to the event and possible options to combine further events …”
  9. 9. Liquid Query: Query Submission Example Scenario 1: Trip planner for events Concert Hotels query conditions query conditions
  10. 10. Liquid Query: Query Execution
  11. 11. Liquid Query: alternative visualizationsand domain-independent platformExample Scenario 2: Scientific Publication search
  12. 12. Problem 1: Service specification• No service description per se• Focused on search • Ranking aware• Description • Bottom-up • Based on the service interface• Annotation • Relying on an external reference knowledge base
  13. 13. SDF and SAFService Description (SDF) vs. Service Annotation (SAF)
  14. 14. Example of SDF instances
  15. 15. The registration of servicesBottom-up approach from the service signaturesRegistration process fully specified and implemented• Starts from SI details (name, type of service, etc.) and SI field details, i.e. name, data type and I/O directionality• the name and I/O fields of the SI are scanned with NLP and Semantic techniques in order to identify the most suitable Domain Diagram items to represent them• The expert users intervention is required to provide a feedback concerning system-hypothesized mappings• When all mappings have been validated, a newly created Access Pattern and its corresponding Service Mart are committedSee demo video at: http://search-computing.it/registration_demo
  16. 16. Example of resulting service mart• A set of predefined combinations of services, to be reused for specific cases
  17. 17. Problem 2: Reduce flexibilityMaximum flexibility over huge amounts of search services is not always the best solution People want straightforward paths and want to be quick Commercial implementations are likely to be on fixed sets of domains and fixed exploration directions
  18. 18. Design Patterns• A set of blueprint combinations of services, to be reused for different cases• Very much like UML design patterns or datamart patterns
  19. 19. Design Patterns – some examples• Sequence
  20. 20. Design Patterns – some examples• Star
  21. 21. Design Patterns – integrated examples• Join
  22. 22. Design Patterns – integrated examples• Join
  23. 23. Exploration implementation• Not just a matter of data sources• Also: data visualization, user interface specification, usability, ..See demo videos at:http://demo.search-computing.net/night_planner_demo/seco/seco.htmlhttp://demo.search-computing.net/new_job_demo/seco/seco.html
  24. 24. Problem 3 - OutlookWhen dealing with real-life problems, people do not trust the web completely Want to go back to discussion with people Expect insights, opinions, reassurance Exploratory search must be blended with social-network based recommendations and inputs
  25. 25. Social Search: increasing quality in search• From exploratory search to friends and experts feedback Initial query Exploration Exploratory step Human Search Search System System Exploration step System API Social API Database / Crowd / IR index Community
  26. 26. Example: Find your job (social invitation)Selected data itemscan be transferredto the crowd question
  27. 27. Find your job (response submission)
  28. 28. Conclusions and future workWell, I’ve shown everything..See our papers at WWW 2010 (Liquid Query) and WWW 2012 (CrowdSearcher)Future work• More experiments (e.g., vs. sociality of users, vs. crowds, …)• Not only search: active integration of web structured data and social sensorsSome ads• Search Computing book series (Springer LNCS)• Workshop Very Large Data Search at VLDB• VLDB Journal special issue (deadline Sept 2012)
  29. 29. Thanks!Questions? Marco Brambilla marco.brambilla@polimi.it marcobrambi

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