spaces interoperability and usability
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Spaces interoperability and usability Natalia Daz Rodrguez & - PowerPoint PPT Presentation

Extending Semantic Web tools for improving Smart Spaces interoperability and usability Natalia Daz Rodrguez & Johan Lilius Turku Centre for Computer Science (TUCS), bo Akademi University, Turku, Finland M.P. Cullar & Miguel


  1. Extending Semantic Web tools for improving Smart Spaces interoperability and usability Natalia Díaz Rodríguez & Johan Lilius Turku Centre for Computer Science (TUCS), Åbo Akademi University, Turku, Finland M.P. Cuéllar & Miguel Delgado Calvo-Flores University of Granada, Spain DCAI’13, Salamanca, 23.5.13 1

  2. Introduction § Smart Spaces (UbiComp): interoperability, working on behalf of the user, handle unanticipated situations 2

  3. Introduction § Context-awareness for machine processing and reasoning. § Semantic Technologies and Ontologies: independent knowledge sharing minimizing redundancy. 3

  4. Programming environments for novice programmers [Scratch] [IFTTT] 4

  5. Programming environments for novice programmers [Twine] [Valpas] 5

  6. Related Work § End-user Domain Specific Languages – IF-THEN and ECA rule languages to create services – Rapid test and iteration of ubicomp applications § What is missing? – Underlying semantic capabilities – Support for imprecise expressions – Visual GUI for interacting with both fuzzy ontologies and fuzzy rules – General Domain 6

  7. Our proposal’s Contribution A GUI model to visualize and interact with Smart Space information. – User-customized applications – No knowledge of programming nor Semantic Web – Semantic graph-based data – Simple IF-THEN rules – Publish/subscribe architecture using Smart-M3. – Imprecise knowledge support – Guidelines for visual language design 7

  8. Mapping OWL 2 to visual rule entities 8

  9. 9

  10. Equivalent SPARQL Query § Each rule is converted into a SPARQL query, which can be transformed to a Smart-M3 subscription. 10

  11. Mapping a visual rule to SPARQL Algorithm § Input : Graphical IF-THEN rule. § Output : SPARQL query, [subscription]. § IF-THEN rule parsing algorithm principles: – IF conditions => Add RDF Triple patterns to WHERE clause – THEN actions => a) Add Triple patterns to INSERT or DELETE clause b) External application execution Parameters: • Must be defined in IF clause • Add Triple to SELECT clause 11

  12. Conclusions § Providing ordinary end-users with flexible and functional Smart Space environment: – Rapid development of mash-ups applications with rules – Abstracting away technical details – Exploiting potential of SW technologies – General purpose visual language, correct by construction. – Query federation and imprecise knowledge representation § Evolve the SW from data modelling to computational medium § Applications: AmI, e-Health, Home Automation, etc. 12

  13. Future Work § Work in progress: further usability studies § Support for fuzzy reasoning § Visual model for defining higher level human behaviours § Functionality: rule sharing and access control 13

  14. References § [Scratch] M. Resnick, J. Maloney, A. Monroy- Hernandez, N. Rusk, E. Eastmond, K. Brennan, A. Millner, E. Rosenbaum, J. Silver, B. Silverman, and Y. B. Kafai. Scratch: programming for all. § [Valpas] Communications of the ACM, 52(11):60–67, 2009. A. Rex. Design of a caregiver programmable assistive intelligent environment. Aalto University, 2011. § [Twine] http://supermechanical.com/twine § [IFTTT] http://ifttt.com 14

  15. Thank you for your attention! Natalia Díaz Rodríguez ndiaz@abo.fi Embedded Systems Lab. Department of Information Technologies Åbo Akademi University, Turku, Finland TUCS (Turku Centre for Computer Science) Department of Computer Science and Artificial Intelligence University of Granada, Spain 15

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