1 / 21

Institute of Informatics, Slovak Academy of Sciences

Institute of Informatics, Slovak Academy of Sciences. Michal Laclavík Ladislav Hluch ý. Partner Description. Institute of Informatics (II SAS) is one of more than 50 scientific and research institutes of Slovak Academy of Sciences, Bratislava, Slovakia.

colum
Download Presentation

Institute of Informatics, Slovak Academy of Sciences

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. Institute of Informatics, Slovak Academy of Sciences Michal Laclavík Ladislav Hluchý

  2. Partner Description Institute of Informatics (II SAS) is one of more than 50 scientific and research institutes of Slovak Academy of Sciences, Bratislava, Slovakia. The scope of activities of II SAS includes scientific and research work in informatics, information technology, control theory, robotics and artificial intelligence. Organized in 7 departments: • Parallel and distributed computing • Intelligent and Knowledge oriented Technologies Group • Design and diagnostics of digital systems • Numerical methods and algorithms • Speech analysis and synthesis • Electron beam lithography • Discrete processes modeling and control • Sensor systems EADS, Paris, 24th February 2009

  3. Primary Research Team & Capabilities URL: http://ikt.ui.sav.sk Dept. of Parallel and Distributed Computing Research and Development Areas: • Large-scale HPCN and Grid applications • Intelligent and Knowledge oriented Technologies Experience from IST: • 3 project in FP5: ANFAS, CrosGRID, Pellucid • 6 project in FP6: EGEE II, K-Wf Grid, DEGREE (coordinator), EGEE, int.eu.grid, MEDIGRID • 4 projects in FP7: Secricom, Commius, Admire, EGEE III Several National Projects (SPVV, VEGA, APVT) IKT Group Focus: • Information Processing • Semantic Web • Knowledge oriented Technologies • Parallel and Distributed Information Processing • Multi-agent systems Solutions: • Ontea: Pattern-based Semantic Annotation • ACoMA: KM tool in Email • EMBET: Recommendation System • AgentOWL: Agent library, model and methodology Director & leader of PDC: Dr. Dipl. Ing. Ladislav Hluchý EADS, Paris, 24th February 2009

  4. IISAS Expertise • Many Experience from European and National projects • FP5,FP6 and FP7 EU projects • Multi agent systems: Pellucid, Secricom • Data Integration and Data mining: Admire • Large Scale Data processing: Crossgrid, EGEE, DEGREE, … • Simulation (Flood Application): CrossGrid, K-Wf Grid, … • National project Raport • Support for Military Training • National project NAZOU • Heterogeneous distributed data processing, integration including semantics • Very good technology background • Data integration (related to Sensor Data fusion) • Large scale data processing • Simulation and Visualization • Multi-agent Systems • Semantics, social networks • Recommendation Systems EADS, Paris, 24th February 2009

  5. Relevant Projects

  6. ADMIRE(Advanced Data Mining and Integration Research for Europe) 7RP programme, ICT priority, 2008/03 – 2011/02, 6 institutions from EU Accelerate access to and increase the benefits from data exploitation; Deliver consistent and easy to use technology for extracting information and knowledge; Cope with complexity, distribution, change and heterogeneity of services, data, and processes, through abstract view of data mining and integration; and Provide power to users and developers of data mining and integration processes • UISAV’s role • Environmental data-specific methods for data integration • Tools applying knowledge management to data mining in SOA environment • Pilot application, user interface EADS, Paris, 24th February 2009

  7. Activities Execution Context Modification Workflow execution RAPORT project • Experience with Military project • (2004-2007) • The goal of project was proposal of knowledge management support system for organization of military training. • Intelligent process management • Recommendation system • Organization of military exercise in a Centrum of Simulation Technologies (CST) of National Academy of Defense (NAD) in Liptovský Mikuláš (Slovakia) • CST organizes several overlapping military exercises during a training year • problems with large amount of documents and e-mails • problems with knowledge management • problems with time management • knowledge system based on e-mail communications and a web portal EADS, Paris, 24th February 2009

  8. Title: Platform for Organizationally Mobile Public Employees Duration: Sep 2002- Dec 2004 Agent Architecture based on autonomous co-operating agents Knowledge Management to support employees Workflow based Administration Processes To support Employee Mobility in organization Interaction Layer Workflow Tracking/Management System CONTEXT & ACTIONS USERS Process Layer Pellucid“core” PELLUCID ACTIVEHINTS USERFEEDBACK Pellucid interface Pellucid IST Project EADS, Paris, 24th February 2009

  9. Distributed Secure Agent Platform (DSAP) The core agent platform. Providing means for agent deployment, execution, migration and communication. Process Execution Agents (PEA) Based on the plan collected from users generating a plan of activities. Executes the plan. User Communication Agent (UCA) Communicating with users in a form of guided dialog through electronic device. Including authentication and interface to authorization of the user. Agent Repository (AR) Database of system users, agents and their certificates. Process of accreditation of agents. Resource Inquire System(RIS) Provide information which system to query for specific information. EU FP7 project: (2008-2011) FP7-218123 Service platform for mobile devices Support for Intelligent Crisis Management Securing legacy data Using Multi-agents and SOA Secricom: Seamless Communication for Crisis Management EADS, Paris, 24th February 2009

  10. Semantic Service Oriented Architecture Workflows of Web Services K-Wf Grid Project EADS, Paris, 24th February 2009

  11. OnTeA - Ontology based Text Annotation using Regular Expression Patterns RDB2Onto – Relational database data to ontology converter OSID - Offer Separation for Internet Document RIDAR - Relevant Internet Data Resource Identification SETH - SETH is a software effort to deeply integrate Python with Web Ontology Language (OWL-DL dialect) WEBCRAWLER - WebCrawler downloads recursively web pages. Only relevant documents are downloaded estimating relevance using ERID. Tools for acquisition, organization and maintenance of knowledge in an environment of heterogeneous information resources Slovak National project, duration: 2004-2007 Web => Documents => Text => RDF/OWL => XML + XSL => HTML NAZOU EADS, Paris, 24th February 2009

  12. Commius project • Commius IST FP7 project FP7-213876 Community-based Interoperability Utility for SMEs • (2008-2011) • Pattern based Information Extraction and Semantic Annotation • External and Legacy System Integration • Large Scale Information Processing • Information and Knowledge Management • Social Networks Extraction • Addressing ISU like interoperability • Commius partners envision a future in which SMEs enjoy a zero-cost entry into interoperabilitybased on non-proprietary protocols. • Systems Interoperability • interoperability over SMTP • Semantic Interoperability • Understanding communication and • documents exchanged • Process Interoperability • Understanding and supporting business process from communication activities EADS, Paris, 24th February 2009

  13. Prototypes and Solutions

  14. Used in: Business process management recommendation systems for user or agent modeling Based on Events, Resources, Actions, Actors, Context Formally Described using Sets, Description Logic (compatible with OWL-DL), Graph Representation Actor Context updating function/algorithm (Actor Environment State) Resources updating function/algorithm (result of fulfilled actor goals) Agent Knowledge Model EADS, Paris, 24th February 2009

  15. Graphical User Interface Multi Agent System External System User requests Displaying results Agent 1 XML, XML-RPC, SOAP KM ACL Agent 3 FIPA ACL, KIF, FIPA-SL, FIPA-RDF IIOP, HTTP, SMTP Knowledge Model Agent 2 KM Knowledge Base FIPA ACL, RDF/OWL, RDQL Directory Facilitator Knowledge Storage Querying AgentOWL Library • Agents with OWL ontology models using JADE agent system and Jena • Support for OWL based Agent Knowledge Model • Support for XML-RPC connection to receive event and send plain XML • Support for agent communication using FIPA ACL with OWL and RDQL as content languages • Support for Presentation of Ontological Knowledge (RDF/OWL => plain XML + XSL => HTML) • JADE and Jena Integration • Available on JADE official website to MAS community EADS, Paris, 24th February 2009

  16. Ontea: Platform for Pattern Based Annotation Input: Sensor data, log files or text Output: Relation to semantic model Text Bratislava is the capital of Slovakia. Slovakia is in Europe. Pattern: “(in|by) + (the)? *([A-Z][a-z]+)” for Location Ontea discovers key – value pair: Location – Europe By transformation to ontology knowledge base - it finds Europe as continent using inference (sub-class of Location) Continent – Europe More Examples are in the table: Features • Identification of concept instances from the ontology • Automatic population of ontologies with instances • Identifying relevance, when creating instances using information retrieval techniques • Key-value pairs transofrmation • Integration with data from external systems • Large scale semantic annotation of documents or texts using Google’s MapReduce architecture. EADS, Paris, 24th February 2009 16

  17. Semantic Graphs processing • Spread Activation • Fast method for inference • Logic based inference is exponential and slow • Used e.g. by IBM in Galaxy Library • Experiments on emails • Experiments on wikipedia links • Discovery of relations between articles • 72 mil. links in network • Transformation of graphs • Exploration of related elements • Use of Google’s MapReduce architecture for large scale data processing EADS, Paris, 24th February 2009

  18. Objective: Recommend and provide user information or knowledge in context Email based Web based Recommendation Systems • Collaboration among users • Knowledge sharing • Active knowledge provision • Reuse of knowledge: notes and other resources EADS, Paris, 24th February 2009

  19. Simulation of Floods, Visualization EADS, Paris, 24th February 2009

  20. Technology Expertise • We work mainly with Open-Source Products, concretely: • Technology • Linux, Java, Tomcat, Apache, PHP, JSP, XML, RDF • Data Integration and Processing • MapReduce: Hadoop, Grid: Globus, gLite • OGSA-DAI • Ontologies • Standards: RDF, OWL (OWL-DL) • Ontology Design and Definition: Protégé (many plug-ins OntoViz) • Methodology for Developing Knowledge Management Systems: CommonKADS • Knowledge Bases: • Sesame (primary RDF storage) • JENA Storage Interfaces (MEM model or RDBM model) • Onto Interfaces • JENA (SPARQL, RDQL) • Jena inference engine (rule based) • Graph Processing • Spread Activation • Semantic Transformation • Back-edge heuristic for Steiner tree packing problem approximation EADS, Paris, 24th February 2009

  21. IISAS Contribution • Good expertise from projects participation and technology background • Data Integration • Large scale data and information processing • Multi-agent Systems • Semantics and Graph Processing • If fits with proposal • Recommendation Systems • Simulation and Visualization EADS, Paris, 24th February 2009

More Related