Oct. 29th 2008 Tony Lee, Lucy Cho


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Oct. 29th 2008 Tony Lee, Lucy Cho

  1. 1. Oct. 29 th 2008 Tony Lee, Lucy Cho Semantic Web in Asia : Example Use Cases
  2. 2. <ul><li>Overview </li></ul><ul><li>Use Cases </li></ul><ul><li>Infrastructure </li></ul><ul><li>Saltlux Intro. </li></ul><ul><li>Conclusion </li></ul>
  3. 3. Overview Semantic Search Mobile Platform Semantic Web Ubiquitous Service Use Cases in Asia <ul><li>4 Categories for Semantic web use cases in Asia. </li></ul><ul><li>Semantic Search is hot thing in various industries. </li></ul><ul><li>Semantic Metadata Repository and IR </li></ul><ul><li>Ontology-based Digital Library </li></ul><ul><li>S-Wiki and S-Blog based Semantic Portal </li></ul><ul><li>Owlim.com </li></ul><ul><li>Mobile Content Recommendation and Personalization </li></ul><ul><li>Mobile Social Network Analysis </li></ul><ul><li>Middleware Platform for Context Aware-Services </li></ul><ul><li>Intelligent Service Platform for U- City </li></ul>
  4. 4. 1. Use Case for Semantic Search 1.1. Semantic Metadata Repository and IR for National Archives <ul><li>National Archives of Korea (NAK) Government Agency for Accumulating & Preserving Historical Records of Government </li></ul><ul><li>Challenge </li></ul><ul><li>Semantic annotation with app. 70 million cases and 1-billion triple indexing </li></ul><ul><li>Secured semantic interoperability </li></ul><ul><li>Implementation </li></ul><ul><li>Development of ontology-based MDR </li></ul><ul><li>Utilizing reasoning engine and semantic annotator for semantic search </li></ul><ul><li>Benefits </li></ul><ul><li>Semantic search & information navigation </li></ul><ul><li>Semantic interoperability for MD reusing </li></ul><ul><li>Next Steps </li></ul><ul><li>Improving of reasoning performance </li></ul><ul><li>Extending ontology meta-model </li></ul>Triple Store Rule based Reasoning Engine
  5. 5. 1. Use Case for Semantic Search Ontology-based MDR (Meta Data Registry) User School Organization Information Service Meta Data for Current Document Semi Current Document Non-Current Document Concept, relations, descriptions Ontology Instance and Semantic Rules Massive Triple Store (for 70,000,000 docs) <ul><li>Using Rule based reasoning for finding a document and a related subject (person, organization etc.) </li></ul>Using ISO/IEC 11179 Meta-model 1.1. Semantic Metadata Repository and IR for National Archives Ontology Triple Store Archival DB Portal DB Buffer DB Thesaurus DB API Import Thesaurus Ontology Instantiation Tagging OWL Ontology Modeler Metadata Register Import Ontology Legend Ontology Design Metadata Registry Ontology Instantiation
  6. 6. 1. Use Case for Semantic Search 1.2. Ontology-based Digital Library <ul><li>KERIS (Korea Education and Research Information Service) Government Agency for Distributing Academic Papers & Research Materials </li></ul><ul><li>Challenge </li></ul><ul><li>Large-scaled semantic IR (>100M triples) </li></ul><ul><li>High performance reasoning ( <0.5s) </li></ul><ul><li>Quality issues of original metadata (text) </li></ul><ul><li>Implementation </li></ul><ul><li>Integration of reasoning & search engine </li></ul><ul><li>Semantic annotation and ontology instantiation </li></ul><ul><li>Recommending papers and researchers </li></ul><ul><li>Benefits </li></ul><ul><li>Recom. and navi. of research information </li></ul><ul><li>Overcoming limitation of keyword search </li></ul><ul><li>Next Steps </li></ul><ul><li>Extending research ontologies </li></ul><ul><li>Improving search functions and visualization </li></ul>
  7. 7. 2. Use Case for Mobile Platform <ul><li>Mobile Content Recommendation and Personalization </li></ul><ul><li>Mobile Social Network Analysis and Advertisement </li></ul><ul><li>KTF (Korea Telecom Freetel) </li></ul><ul><li>One of Largest Mobile Companies in Korea </li></ul><ul><li>Challenge </li></ul><ul><li>Right contents to right timing </li></ul><ul><li>User accessibility by preference & interests </li></ul><ul><li>Huge huge scalability (>10B triples) </li></ul><ul><li>Implementation </li></ul><ul><li>Context-based reco. and personalization </li></ul><ul><li>Mobile social network analysis system </li></ul><ul><li>Benefits </li></ul><ul><li>Easy discovery of appropriate contents </li></ul><ul><li>Reduction of TCO for developing new services </li></ul><ul><li>User satisfaction with personalized service </li></ul><ul><li>Next Steps </li></ul><ul><li>Starting commercial services </li></ul><ul><li>Performance improvement </li></ul>
  8. 8. 2. Use Case for Mobile Platform <ul><li>Intelligent Mobile Service Platform based on IMS (IP Multimedia Subsystem) </li></ul>Legacy Network IMS Gateway User Device IMS Network CDR (Call Detailed Record) Membership Service History Content Service History Legacy Data Collector Content Recommendation Agent Subscriber Information Extractor & Analyzer Social Relationship KB User Preference KB Contents Metadata Repository Content Recommender Application Services Contents Dynamic UI & Contents Generator Intelligent and Unified Notification Gateway Reco. Rule Repository AS Information Collector HTTP on the IMS Network Content Reco. KB User Profile
  9. 9. 2. Use Case for Mobile Platform <ul><li>Knowledge Discovery from 2G/3G Legacy Data </li></ul>User Devices Legacy Data CDR (Call Detail Record) Membership Service History Content Service History User Profile User Behavior History User Context Discovery Social Relationship Discovery User Preference Awareness of User Context Profile Identification Intimacy Analysis Discovery Basic Social Relationship Reasoning Social Relationship Analysis Implicit User Behavior Classification User Behavior Discovery Personal Preference Analysis Explicit User Behavior Clustering Personal Preference Discovery Representative Group Preference Reasoning User Intension Location (from Cell and GPS) Time (from System Clock) Weather (from Ext. Service) Profile Analysis Call Location Analysis User Preference User Context Scenario based Rule Preference and Contents Mapping Event driven Triggering Discovery Social Preference
  10. 10. 2. Use Case for Mobile Platform <ul><li>Mobile Social Network Analysis based on CDRs and Context </li></ul>
  11. 11. 2. Use Case for Mobile Platform <ul><li>Working Applications </li></ul>Personalized Main Screen Privacy Management Preference Viewer Shopping Recommendation Context based Tour Info. VOD Recommendation
  12. 12. 3. Use Case for Ubiquitous Computing <ul><li>KT (Korea Telecom) </li></ul><ul><li>Largest Telecommunication Company in Korea </li></ul><ul><li>Challenge </li></ul><ul><li>Resolving Semantic Ambiguity of Comtext </li></ul><ul><li>Securing Interoperability </li></ul><ul><li>Dynamic Service Reconfiguration & Adaptation </li></ul><ul><li>Implementation </li></ul><ul><li>Context Awareness Middleware </li></ul><ul><li>Connection with Semantic Framework </li></ul><ul><li>Benefits </li></ul><ul><li>Applying to Home Network Service, Telematics </li></ul><ul><li>Receiving Customized Information </li></ul><ul><li>Lowering Over 30% Costs & Development Period </li></ul><ul><li>Next Steps </li></ul><ul><li>Developing Intelligent Robot, IPTV </li></ul><ul><li>Using under Real Time Enterprise Environment </li></ul><ul><li>Expanding to u-City, Wibro Internet Service </li></ul>3.1. Middleware Platform for Context Aware-Services
  13. 13. 3.1. Middleware Platform for Context Aware-Services 3. Use Case for Ubiquitous Computing DEMO [Intelligent Home Network Service]
  14. 14. 3. Use Case for Ubiquitous Middleware <ul><li>Korean Government and Samsung SDS </li></ul><ul><li>Largest System Integration Company in Korea </li></ul><ul><li>Challenge </li></ul><ul><li>Real time collecting, storing, and managing sensor information for various situation </li></ul><ul><li>Real time reasoning and huge scalability </li></ul><ul><li>Implementation </li></ul><ul><li>Ontology-based Context Awareness Module </li></ul><ul><li>u-ITS (Information Transportation System) </li></ul><ul><li>Metadata converting by semantic framework </li></ul><ul><li>Benefits </li></ul><ul><li>Centralized management of city level sensor info. </li></ul><ul><li>Offering context based intelligent data </li></ul><ul><li>Next Steps </li></ul><ul><li>Developing Killer services </li></ul><ul><li>Commercializing and Activating u-Projects </li></ul>3.2. Intelligent service platform for Ubiquitous City
  15. 15. 4. Use Case for Semantic Web <ul><li>Saltlux, Inc. </li></ul><ul><li>Semantic discovery platform provider </li></ul><ul><li>Semantic Portal </li></ul><ul><li>Information portal with Web 2.0 concept of RIA, AJAX </li></ul><ul><li>Internal integration of semantic Wiki and Blogs </li></ul><ul><li>Semantic Wiki </li></ul><ul><li>Semantic media wiki based system </li></ul><ul><li>Interactive UI for RDFa Tagging </li></ul><ul><li>Systematic integration with enterprise KB </li></ul><ul><li>Semantic Blog </li></ul><ul><li>Semantic enabling of Wordpress </li></ul><ul><li>RDFa tagging with sharable KB </li></ul><ul><li>Enhanced ALC and management function </li></ul><ul><li>Next Steps </li></ul><ul><li>Global service (4 languages) </li></ul><ul><li>Integrating with sERP and sKM (Content Intel.) </li></ul>4.1. Saltlux’s Semantic Portal based on Semantic Wiki and Blogs DEMO
  16. 16. <ul><li>Saltlux, Inc. </li></ul><ul><li>Semantic discovery platform provider </li></ul><ul><li>Challenges </li></ul><ul><li>Web scale semantic search (>100M docs) </li></ul><ul><li>Automatic instantiation and extraction of semantic data from unstructured content </li></ul><ul><li>Implementation </li></ul><ul><li>Semantic data extraction and clustering </li></ul><ul><li>Automatic content classification </li></ul><ul><li>Semantic Search based on Triples </li></ul><ul><li>Automatic RSS generation and smart feed </li></ul><ul><li>Benefits </li></ul><ul><li>Understanding and observation of the trends and distribution of dynamic web </li></ul><ul><li>Personalization of search service </li></ul><ul><li>Next Steps </li></ul><ul><li>Expanding to English and Japanese </li></ul><ul><li>Improving service qualities </li></ul>4. Use Case for Semantic Web 4.2. Web scale semantic search service (owlim.com) DEMO
  17. 17. 4. Use Case for Semantic Web 4.2. Web scale semantic search service (owlim.com) GRID Architecture
  18. 18. 4. Use Case for Semantic Web 4.2. Web scale semantic search service (owlim.com) The Web, Web 2.0 Semantic Web, Web 3.0 사업 영역 Keyword Index (inverted file) Semantic Tripe Index Storing <ul><li>Web content URI, Link DB </li></ul><ul><li>User query logs </li></ul><ul><li>Many others </li></ul><ul><li>Semantic data for the web </li></ul><ul><li>Semantic networks for each topic and time stamp </li></ul><ul><li>Personalized Semantic Net </li></ul>Database of Intention Keyword Search Semantic Discovery Approach Page Rank STR (Semantic Topic Rank) Core Tech. Clustering Computing Grid Computing Infrastructure Google.com Owlim.com
  19. 19. 5. Infrastructures COMET is a collaborative framework allowing multiple clients to collect, store, retrieve, edit, query and do reasoning, manage versions of stored ontologies. <ul><li>Key Functions </li></ul><ul><li>Ontology Library & CVS </li></ul><ul><li>Ontology Categorizing </li></ul><ul><li>Supporting Ontology Engineering </li></ul><ul><li>Query Management </li></ul><ul><li>Server Reporting </li></ul><ul><li>User Management </li></ul><ul><li>Future Works </li></ul><ul><li>Improving multi-user performances </li></ul><ul><li>Web based client </li></ul><ul><li>Improving ACL </li></ul><ul><li>Developing plug-ins for Neon and Topbraid Composer, etc. </li></ul>DEMO
  20. 20. <ul><li>Characteristics </li></ul><ul><li>Mass & real time semantic metadata storage and management tool </li></ul><ul><li>High scalability with distributed comp. </li></ul><ul><li>Automatic data collection and filtering </li></ul><ul><li>Context awareness by connecting heterogeneous context information </li></ul><ul><li>Including ontology and rule based reasoning engines </li></ul><ul><li>- Ontology instantiation by [IN2]SEMANO </li></ul>[IN2]SOR is integrated framework for semantic metadata searching and management based on Ontology and reasoning technologies. 5. Infrastructures
  21. 21. Overview of Saltlux, Inc. Value Innovation Partner, Saltlux !  Company Name Saltlux Inc.  Established June 1 st , 1979  President Tony (Kyung-il) Lee  Address Deok-il Building #967 Daechi-dong, Gangnam-gu, Seoul 135-848, Korea Tel) 822-3402-0081 / Fax) 822-3402-0082  No. of Employees About 80 people  Affiliated Japan Branch (Tokyo), China and USA Office  URL www.saltlux.com  Research Lab. HLT Laboratory (Performing EU FP6, FP7 )  Certified and Awarded ISO9001:2000, InnoBiz Company, MCI New Software Award, MOST KT Mark, Gov’t Software Biz, Military Supply Safty Biz, etc.  IP Rights 4 Patented, 13 Patent Pending, 30 Registered Software
  22. 22. Business Area Knowledge Communication Company Intelligent Web Ubiquitous Computing Knowledge Accessing Knowledge Engineering Knowledge Sharing, Reusing Knowledge Discovering Web 2.0 + alpha Semantic Web Semantic Web Service Context Awareness Personalization Service Adaptation Tech/Biz Consulting Software Solution Innovative Service
  23. 23. Lesson to Learn and Conclusion <ul><li>Commercializing semantic technology has already been come true in Asia. </li></ul><ul><li>Scalability : 1B is not enough. We need 10B~100B!!!  We have to consider distributed architecture! </li></ul><ul><li>Data interoperability is the KEY for NG Mobile, Ubiquitous Computing and also the Web. </li></ul><ul><li>Valuable Applications : Semantic Search, Personalization and Recommendation. </li></ul><ul><li>We are going to real service business based on semantic web. </li></ul>
  24. 24. Further Questions? Lucy Cho ( [email_address] ) Tel. +822-3402-0081 (#223) “ IT’S THE WEB OF DATA”