“Semantic Technologies for Smart Services”

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Rudi Studer, Full Professor in Applied Informatics at the Karlsruhe Institute of Technology (KIT), Institute AIFB, presentation “Semantic Technologies for Smart Services” as part of the Cognitive Systems Institute Speaker Series, December 15, 2016.

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“Semantic Technologies for Smart Services”

  1. 1. KIT – The Research University in the Helmholtz Association www.kit.edu Institute of Applied Informatics and Formal Description Methods (AIFB), Karlsruhe Service Research Institute (KSRI), FZI Research Center for Information Technology Semantic Technologies for Smart Services Rudi Studer & Maria Maleshkova Cognitive Systems Institute Speaker Series, 15 December 2016
  2. 2. Institute of Applied Informatics and Formal Description Methods (AIFB) 2 “Semantic Karlsruhe” Industrie 4.0 Medicine & eHealth Digital Shift Big Data & Data Analytics SEMANTIC TECHNOLOGIES Semantic Data Management Complex Event Processing Data / Text Mining Smart Services Basic Research Applied Research Transfer Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  3. 3. Institute of Applied Informatics and Formal Description Methods (AIFB) 3 WEB SCIENCE AND KNOWLEDGE MANAGEMENT Institute of Applied Informatics and Formal Description Methods
  4. 4. Institute of Applied Informatics and Formal Description Methods (AIFB) 4 Karlsruhe Service Research Institute – an „industry-on- campus“ model with focus on interdisciplinary research        Prof. Dr. Christof Weinhardt Information & Market Engineering Prof. Dr. Gerhard Satzger Digital Service Innovation Prof. Dr. Stefan Nickel Discrete Optimization & Logistics Prof. Dr. Wolf Fichtner Energy Economics Prof. Dr. Alexander Mädche Information Systems & Service Design Prof. Dr. Rudi Studer Knowledge Management Prof. Dr. York Sure- Vetter Prof. Dr. Kai Furmans Value Stream Services Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series Dr. Markus Bauer
  5. 5. Institute of Applied Informatics and Formal Description Methods (AIFB) 5 Service Research investigates complex service systems where economic value is created jointly by multiple independent parties, acting together efficiently through the systematic use of information and communication technologies… …from different perspectives and in different domains ... and others Healthcare Services Crowd and Participation Services (e)-Mobility Smart Services, Industry 4.0 and IoT Research Focus: Intelligent Services for Real-world Networks Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  6. 6. Institute of Applied Informatics and Formal Description Methods (AIFB) 6 • Motivation • Why Smart Services via Semantic Technologies? • Use Case 1 - Building Agile Systems • Use Case 2 – Smart Services for Predictive Maintenance • Summary and Conclusions Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  7. 7. Institute of Applied Informatics and Formal Description Methods (AIFB) 7 Market Influence Technology Development Today’s Driving Forces Shorter innovation cycles Need for continuous adaptation Near real-time analyses Involvement of the customer not only with the finished product/service but during the complete development cycle Ubiquitous access Social and community Web Heterogeneous big data Distributed component-based solutions Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  8. 8. Institute of Applied Informatics and Formal Description Methods (AIFB) 8 Internet of Things (IoT) Challenges We expect one hundred billion IoT devices to be deployed within the next ten years BUT the IoT is currently facing a lot of problems Product silos that do not interoperate with each other Many approaches and incompatible platforms No network effect Heterogeneity in terms of Data Devices and interfaces Data volumes and number of sources explode Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series We expect one hundred billion IoT devices to be deployed within the next ten years BUT the IoT is currently facing a lot of problems Product silos that do not interoperate with each other Many approaches and incompatible platforms No network effect Heterogeneity in terms of Data Devices and interfaces Data volumes and number of sources explode see: http://www.w3.org/2015/05/wot-framework.pdf
  9. 9. Institute of Applied Informatics and Formal Description Methods (AIFB) 9 The Web as the Solution Source: http://www.w3.org/2015/05/wot-framework.pdf Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  10. 10. Institute of Applied Informatics and Formal Description Methods (AIFB) 10 Semantic Technologies for Smart Services Data Integration – combining data from multiple sources enables new applications and insights More and more data available on the Web is published conforming to Semantic Web standards Linking Open Data (LOD) initiative Semantic Web technologies are beneficial for data exchange, integration and search Decentralised Architectures – no central controller or repository Overcoming device heterogeneity – common model for devices (functional and non-functional properties) Overcoming interface heterogeneity – standard Web Technologies + Linked Data Adaptation – adjusting services, products, things according to context and current needs Intelligent Programmable Interfaces Embedding intelligence into the service interface (e.g. rules) Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  11. 11. Institute of Applied Informatics and Formal Description Methods (AIFB) 11 Semantic Technologies Semantic Web technologies, standardised by the W3C, are mature: RDF recommendation in 1999, update in 2004 RDFa (RDF in HTML) note in 2008 RDFS recommendation in 2004 SPARQL recommendation in 2008 OWL recommendation in 2004, update in 2009 Linked Data is a subset of the Semantic Web stack Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  12. 12. Institute of Applied Informatics and Formal Description Methods (AIFB) 12 Use Cases 1. Building Agile Systems Fast integration of data and programmable interfaces based on semantic technologies 2. Smart Services for Predictive Maintenance Semantics for integrating sensor data, background knowledge and decision rules Recognizing maintenance needs before they occur Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series Semantic description Semantic description Semantic description
  13. 13. Institute of Applied Informatics and Formal Description Methods (AIFB) 13 BUILDING AGILE SYSTEMS Semantics for integrating data and programmable interfaces Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  14. 14. Institute of Applied Informatics and Formal Description Methods (AIFB) 14 Today‘s Web is about Dynamic Data Data is often dynamically created as a result of some calculation carried out over input data (e.g., weather information) Data can change frequently (e.g., moving objects) APIs are used to trigger functionalities in the Web and the real world and provide access to dynamic and static data sources An important role plays Representational State Transfer (REST) Architectural style for client– server interaction Compatible with Web architecture http://programmableweb.com 8816 APIs Over 16,400 APIs and 7,800 mashups Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  15. 15. Institute of Applied Informatics and Formal Description Methods (AIFB) 15 Linked Data Principles 1. Use URIs to name things; not only documents, but also people, locations, concepts, etc. http://dbpedia.org/resource/Johannes_Gutenberg 2. To enable agents (human users and machine agents alike) to look up those names, use HTTP URIs http://dbpedia.org/page/Printing_press 3. When someone looks up a URI we provide useful information; with 'useful' in the strict sense we usually mean structured data in RDF http://dbpedia.org/page/Printing_press dct:subject dbc:Johannes_Gutenberg. 4. Include links to other URIs allowing agents (machines and humans) to discover more things <http://dbpedia.org/page/Printing_press> rdfs:seeAlso <http://dbpedia.org/page/Letterpress_printing> . http://www.w3.org/DesignIssues/LinkedData Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  16. 16. Institute of Applied Informatics and Formal Description Methods (AIFB) 16 Linking Open Data Cloud Linking Open Data cloud diagram 2014, by Max Schmachtenberg, Christian Bizer, Anja Jentzsch and Richard Cyganiak. http://lod-cloud.net/ Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  17. 17. Institute of Applied Informatics and Formal Description Methods (AIFB) 17 Motivation for Combining Semantics and Services Increased value comes from combinations of services and APIs But a lot of manual effort is required for this compositions (glue code) Structured service/API descriptions ease the composition process considerably Semantic descriptions allow for execution of several tasks automatically (e.g., data matching, discovery, ranking) Manually drafted glue code Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series Semantic description Semantic description Semantic description
  18. 18. Institute of Applied Informatics and Formal Description Methods (AIFB) 18 Motivation for Combining Semantics and Services Increased value comes from combinations of services and APIs But a lot of manual effort is required for this compositions (glue code) Structured service/API descriptions ease the composition process considerably Semantic descriptions allow for execution of several tasks automatically (e.g., data matching, discovery, ranking) Manually drafted glue code Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series Semantic description Semantic description Semantic description
  19. 19. Institute of Applied Informatics and Formal Description Methods (AIFB) 19 Creating Linked Services Functionality attainable via the Web by combining: RESTful services (respecting Web architecture) resource-oriented manipulated with HTTP verbs GET, PUT (, PATCH), POST, DELETE Negotiate representations Linked data Uniform use of URIs Use of RDF and SPARQL = Linked Services Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  20. 20. Institute of Applied Informatics and Formal Description Methods (AIFB) 20 Facilitate Data Integration Linked Service Combines data (MashUp) build on top Application that consumes one Linked Service Bad solution Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  21. 21. Institute of Applied Informatics and Formal Description Methods (AIFB) 21 Facilitate Data Integration Linked Service Combines data (MashUp) build on top Application that consumes one Linked Service Bad solution Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  22. 22. Institute of Applied Informatics and Formal Description Methods (AIFB) 22 Facilitate Data Integration Linked Service Application (integrates data and functionalities from several Linked Services, e.g. via Linked Data-Fu) Good solution Linked Service Linked Service Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series http://linked-data-fu.github.io/
  23. 23. Institute of Applied Informatics and Formal Description Methods (AIFB) 23 SMART SERVICES FOR PREDICTIVE MAINTENANCE Semantics for integrating sensor data, background knowledge and decision rules Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  24. 24. Institute of Applied Informatics and Formal Description Methods (AIFB) 24 Cognition Framework Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series Perception Reaction Background Knowledge Interpretation and Analysis
  25. 25. Institute of Applied Informatics and Formal Description Methods (AIFB) 25 The Cognition Framework for Predictive Maintenance Input data in terms of - Sensor data - Personal observations - Alarms and errors Background knowledge - Log files - Previous similar problems and solutions - Guidelines - Manuals - Detail about the machines Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series Interpretation and Analysis - Data integration to enable analysis - Similarity analysis with previous problems - Heuristics encoded as rules Reaction - Automated solution recommendation vs. - Providing solution support
  26. 26. Institute of Applied Informatics and Formal Description Methods (AIFB) 26 Problem Breakdown 1. Smart Services for Problem Recognition Recognizing what the current problem is based on previous problems Combination with heuristics 2. Smart Services for preparing Solution Containers Providing summary of the problem, difficulty, time estimate Links to relevant manuals, links to required parts Required expertise, contacts of people with relevant qualifications Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series ? http://www.aifb.kit.edu/web/STEP/en
  27. 27. Institute of Applied Informatics and Formal Description Methods (AIFB) 27 Problem Breakdown 2. Smart Services for preparing Solution Containers (continued) Dealing with multilingual and multimodal sources Identifying related articles across different languages and media types Possible use – the solution might be available in another language; images and videos can be used to identify the problem, support the solution 3. Smart Services for Interactive Problem Solving Guiding the user towards the solution Recommending the next possible step Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series http://xlime.eu/
  28. 28. Institute of Applied Informatics and Formal Description Methods (AIFB) 28 Problem Breakdown 4. Smart Services for Route Planning for the technician Supporting the dispatcher in planning the routes Supporting the technician during the trips Solution based on Use Case 1: Building Agile Systems Creating Linked Services for the interfaces Rules for defining the composition and interaction Automated execution with Linked DataFu Prototype system for data / service integration and execution Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series Proximity service Street View Maintenance route-planning
  29. 29. Institute of Applied Informatics and Formal Description Methods (AIFB) 29 Summary and Outlook Market trends and technology developments pave the way for developing new products and services, which are more flexible and adapted to the customer needs We need technology solutions to achieve more automation and adaptability –– putting the ‘Smartness’ into services Providing means for agile system development Providing means for self-adaptivity We can use Semantic Technologies for Smart Services to support: The rapid development of mashups and applications To realize Industry 4.0 / IoT solutions Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series
  30. 30. Institute of Applied Informatics and Formal Description Methods (AIFB) 30 Relevant Publications S. Stadtmüller, S. Speiser, A. Harth, R. Studer Data-Fu: A Language and an Interpreter for Interaction with Read/Write Linked Data. Proceedings of the 22nd International Conference on World Wide Web, pp. 1225-1236, Rio de Janeiro, 2013. A. Harth, C. Knoblock, S. Stadtmüller, R. Studer, und P. Szekely. On-the-fly Integration of Static and Dynamic Sources. Proceedings of the ISWC Workshop on Consuming Linked Data. 2013: CEUR-WS. M. Maleshkova, P. Philipp, Y. Sure-Vetter, R. Studer. Smart Web Services (SmartWS) – The Future of Services on the Web. IPSI BgD Transactions on Advanced Research (TAR), 12 (1), pp. 15-26, January, 2016. T. Weller, M. Maleshkova, K. März, L. Maier-Hein. A RESTful Approach for Developing Medical Decision Support Systems. The Semantic Web: ESWC 2015 Satellite Events, pp. 376-384, Springer, 9341. T. Weller, M. Maleshkova. Cognitive Process - An Open-Source Tool to Capture Processes according to the Linked Data Principles. The Semantic Web: ESWC 2016 Satellite Events, Springer. L. Zhang, A. Rettinger, J. Zhang. A Knowledge Base Approach to Cross-Lingual Keyword Query Interpretation. The 15th International Semantic Web Conference (ISWC'16), Springer, Oktober, 2016 Prof. Dr. Rudi Studer | Cognitive Systems Institute Speaker Series

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