1 / 7

IERC AC4 SEMANTIC INTEROPERABILITY WORKSHOP IoT Week 2012

IERC AC4 SEMANTIC INTEROPERABILITY WORKSHOP IoT Week 2012. Josiane Parreira. GAMBAS – Objectives. Development of a generic adaptive middleware for behavior-driven autonomous services that encompasses:

balin
Download Presentation

IERC AC4 SEMANTIC INTEROPERABILITY WORKSHOP IoT Week 2012

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. IERC AC4 SEMANTIC INTEROPERABILITY WORKSHOP IoT Week 2012 Josiane Parreira

  2. GAMBAS – Objectives • Development of a generic adaptive middleware for behavior-driven autonomous services that encompasses: • Models and infrastructures to support the interoperable representation and scalable processing of context. • Frameworks and methods to support the generic yet resource-efficient multi-modal recognition of context. • Protocols and tools to derive, generalize, and enforce user-specific privacy-policies. • Techniques and concepts to optimize the interaction with behavior-driven services. • Validation of the middlewareusing lab tests and a prototype application in the public transportation domain.

  3. GAMBAS Scenario

  4. Interoperability issues • Heterogeneous devices • Heterogeneous data representations • Heterogeneous APIs • Lack of data semantics describing data meaning • Resource constrained devices • Sensors, mobile devices • Dynamic, frequently changing information • e.g., stream data from sensors • Large-scale, distributed networks • Data needs to be discoverable

  5. GAMBAS approach towards interoperability • Linked Data paradigm to describe sensors and data streams • Associate meaning to raw data (e.g. feature of interest, accuracy, measuring condition, time point, location, etc. ) • Unified, yet flexible data representation • Integration with other existing Linked Data infrastructures. • Analysis of current sensor semantic descriptions • Semantic Sensors Networks ontology • Semantic annotations for OGC’s SWE Sensor Model Language • Development of required formalisms and ontologies to support semantic descriptions at sensor level

  6. GAMBAS approach towards interoperability • Infrastructure to explore data storage and processing capabilities of mobile devices • SPARQL-like access down to the sensor level (lightweight) • Allow RDF Stream processing • Support generation of query execution plans that not only consider network and physical costs but also adapt to the dynamics of the data • Means of exchanging the descriptions of the data and devices • Allow devices to find relevant data, without knowing a priori the data’s particular location. • Develop infrastructures to support the discovery of dynamic data

  7. References • D. Bimschas, H. Hasemann, M. Hauswirth, M. Karnstedt, O. Kleine, A. Kröller, M. Leggieri, R. Mietz, A. Passant, D. Pfisterer, K. Römer, C. Truong: Semantic-Service Provisioning for the Internet of Things. ECEASST 37: (2011) • A. P. Sheth, C. A. Henson, and S. S. Sahoo. Semantic Sensor Web. IEEE Internet Computing, 12(4):78-83, 2008. • E. Bouillet, M. Feblowitz, Z. Liu, A. Ranganathan, A. Riabov, F. Ye, A semantics-based middleware for utilizing heterogeneous sensor networks, in: DCOSS, 2007. • Whitehouse, K., Zhao, F., Liu, J.: Semantic streams: A framework for composable semantic interpretation of sensor data. In: EWSN’06. (2006) • Christian Bizer, Tom Heath, Tim Berners-Lee: Linked Data - The Story So Far. Int. J. Semantic Web Inf. Syst. 5(3): 1-22 (2009)

More Related