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Oct. 29 th 2008 Tony Lee, Lucy Cho

Semantic Web in Asia : Example Use Cases. Oct. 29 th 2008 Tony Lee, Lucy Cho. Overview Use Cases Infrastructure Saltlux Intro. Conclusion. Overview. 4 Categories for Semantic web use cases in Asia. Semantic Search is hot thing in various industries.

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Oct. 29 th 2008 Tony Lee, Lucy Cho

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  1. Semantic Web in Asia : Example Use Cases Oct. 29th 2008 Tony Lee, Lucy Cho

  2. Overview • Use Cases • Infrastructure • Saltlux Intro. • Conclusion

  3. Overview • 4 Categories for Semantic web use cases in Asia. • Semantic Search is hot thing in various industries. • Mobile Content Recommendation and Personalization • Mobile Social Network Analysis • Semantic Metadata Repository and IR • Ontology-based Digital Library Semantic Search Mobile Platform Use Cases in Asia Ubiquitous Service Semantic Web • Middleware Platform for Context Aware-Services • Intelligent Service Platform for U- City • S-Wiki and S-Blog based Semantic Portal • Owlim.com

  4. Triple Store Rule based Reasoning Engine 1. Use Case for Semantic Search 1.1. Semantic Metadata Repository and IR for National Archives • National Archives of Korea (NAK)Government Agency for Accumulating & Preserving Historical Records of Government • Challenge • Semantic annotation with app. 70 million cases and 1-billion triple indexing • Secured semantic interoperability • Implementation • Development of ontology-based MDR • Utilizing reasoning engine and semantic annotator for semantic search • Benefits • Semantic search & information navigation • Semantic interoperability for MD reusing • Next Steps • Improving of reasoning performance • Extending ontology meta-model

  5. Legend OWL Import Thesaurus Ontology Modeler Import Ontology Metadata Register Ontology Instantiation API Tagging Ontology Design Metadata Registry Ontology Instantiation BufferDB Thesaurus DB Portal DB Archival DB OntologyTriple Store 1. Use Case for Semantic Search 1.1. Semantic Metadata Repository and IR for National Archives Ontology-based MDR (Meta Data Registry) Using ISO/IEC 11179 Meta-model Information Service User School Organization Ontology Instance and Semantic Rules • Using Rule based reasoning for finding a document and a related subject (person, organization etc.) Concept, relations, descriptions Massive Triple Store (for 70,000,000 docs) Meta Data for Current Document Semi Current Document Non-Current Document

  6. 1. Use Case for Semantic Search 1.2. Ontology-based Digital Library • KERIS(Korea Education and Research Information Service)Government Agency for Distributing Academic Papers & Research Materials • Challenge • Large-scaled semantic IR (>100M triples) • High performance reasoning ( <0.5s) • Quality issues of original metadata (text) • Implementation • Integration of reasoning & search engine • Semantic annotation and ontology instantiation • Recommending papers and researchers • Benefits • Recom. and navi. of research information • Overcoming limitation of keyword search • Next Steps • Extending research ontologies • Improving search functions and visualization

  7. 2. Use Case for Mobile Platform • Mobile Content Recommendation and Personalization • Mobile Social Network Analysis and Advertisement • KTF (Korea Telecom Freetel) • One of Largest Mobile Companies in Korea • Challenge • Right contents to right timing • User accessibility by preference & interests • Huge huge scalability (>10B triples) • Implementation • Context-based reco. and personalization • Mobile social network analysis system • Benefits • Easy discovery of appropriate contents • Reduction of TCO for developing new services • User satisfaction with personalized service • Next Steps • Starting commercial services • Performance improvement

  8. Application Services Contents AS Information Collector HTTP on the IMS Network Legacy Network IMS Network IMS Gateway User Device Dynamic UI & Contents Generator Intelligent and Unified Notification Gateway CDR (Call Detailed Record) Membership Service History Content Service History User Profile Content Recommendation Agent Legacy Data Collector Subscriber Information Extractor & Analyzer Content Recommender Reco. Rule Repository Social Relationship KB User Preference KB Content Reco. KB Contents Metadata Repository 2. Use Case for Mobile Platform • Intelligent Mobile Service Platform based on IMS(IP Multimedia Subsystem)

  9. Legacy Data Discovery Social Relationship CDR (Call Detail Record) Intimacy Analysis Profile Identification Discovery Basic Social Relationship Reasoning Social Relationship Profile Analysis Membership Service History Call Location Analysis Content Service History Discovery User Preference Analysis Implicit User Behavior Discovery Personal Preference Discovery Social Preference User Profile Classification User Behavior Analysis Explicit User Behavior Clustering Personal Preference Discovery Representative Group Preference User Devices Awareness of User Context Reasoning User Intension User Behavior History Location (from Cell and GPS) User Preference Preference and Contents Mapping Weather (from Ext. Service) User Context User Context Time (from System Clock) Event driven Triggering Scenario based Rule 2. Use Case for Mobile Platform • Knowledge Discovery from 2G/3G Legacy Data

  10. 2. Use Case for Mobile Platform • Mobile Social Network Analysis based on CDRs and Context

  11. Preference Viewer Personalized Main Screen Privacy Management Context based Tour Info. VOD Recommendation Shopping Recommendation 2. Use Case for Mobile Platform • Working Applications

  12. 3. Use Case for Ubiquitous Computing 3.1. Middleware Platform for Context Aware-Services • KT (Korea Telecom) • Largest Telecommunication Company in Korea • Challenge • Resolving Semantic Ambiguity of Comtext • Securing Interoperability • Dynamic Service Reconfiguration & Adaptation • Implementation • Context Awareness Middleware • Connection with Semantic Framework • Benefits • Applying to Home Network Service, Telematics • Receiving Customized Information • Lowering Over 30% Costs & Development Period • Next Steps • Developing Intelligent Robot, IPTV • Using under Real Time Enterprise Environment • Expanding to u-City, Wibro Internet Service

  13. [Intelligent Home Network Service] 3. Use Case for Ubiquitous Computing 3.1. Middleware Platform for Context Aware-Services DEMO

  14. 3. Use Case for Ubiquitous Middleware 3.2. Intelligent service platform for Ubiquitous City • Korean Government and Samsung SDS • Largest System Integration Company in Korea • Challenge • Real time collecting, storing, and managing sensor information for various situation • Real time reasoning and huge scalability • Implementation • Ontology-based Context Awareness Module • u-ITS (Information Transportation System) • Metadata converting by semantic framework • Benefits • Centralized management of city level sensor info. • Offering context based intelligent data • Next Steps • Developing Killer services • Commercializing and Activating u-Projects

  15. 4. Use Case for Semantic Web 4.1. Saltlux’s Semantic Portal based on Semantic Wiki and Blogs • Saltlux, Inc. • Semantic discovery platform provider • Semantic Portal • Information portal with Web 2.0 concept of RIA, AJAX • Internal integration of semantic Wiki and Blogs • Semantic Wiki • Semantic media wiki based system • Interactive UI for RDFa Tagging • Systematic integration with enterprise KB • Semantic Blog • Semantic enabling of Wordpress • RDFa tagging with sharable KB • Enhanced ALC and management function • Next Steps • Global service (4 languages) • Integrating with sERP and sKM (Content Intel.) DEMO

  16. 4. Use Case for Semantic Web 4.2. Web scale semantic search service (owlim.com) • Saltlux, Inc. • Semantic discovery platform provider • Challenges • Web scale semantic search (>100M docs) • Automatic instantiation and extraction of semantic data from unstructured content • Implementation • Semantic data extraction and clustering • Automatic content classification • Semantic Search based on Triples • Automatic RSS generation and smart feed • Benefits • Understanding and observation of the trends and distribution of dynamic web • Personalization of search service • Next Steps • Expanding to English and Japanese • Improving service qualities DEMO

  17. 4. Use Case for Semantic Web 4.2. Web scale semantic search service (owlim.com) GRID Architecture

  18. 4. Use Case for Semantic Web 4.2. Web scale semantic search service (owlim.com)

  19. 5. Infrastructures COMET (Common Ontology Modeling EnvironmenT) COMET is a collaborative framework allowing multiple clients to collect, store, retrieve, edit, query and do reasoning, manage versions of stored ontologies. • Key Functions • Ontology Library & CVS • Ontology Categorizing • Supporting Ontology Engineering • Query Management • Server Reporting • User Management • Future Works • Improving multi-user performances • Web based client • Improving ACL • Developing plug-ins for Neon and Topbraid Composer, etc. DEMO

  20. 5. Infrastructures SOR (Semantic Object Roaster) Framework [IN2]SOR is integrated framework for semantic metadata searching and management based on Ontology and reasoning technologies. • Characteristics • Mass & real time semantic metadata storage and management tool • High scalability with distributed comp. • Automatic data collection and filtering • Context awareness by connecting heterogeneous context information • Including ontology and rule based reasoning engines • - Ontology instantiation by [IN2]SEMANO

  21. Overview of Saltlux, Inc. Value Innovation Partner, Saltlux ! Company NameSaltlux Inc.  EstablishedJune 1st, 1979  PresidentTony (Kyung-il) Lee  AddressDeok-il Building #967 Daechi-dong, Gangnam-gu, Seoul 135-848, Korea Tel) 822-3402-0081 / Fax) 822-3402-0082  No. of EmployeesAbout 80 people  AffiliatedJapan Branch (Tokyo), China and USA Office  URLwww.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 Rights4 Patented, 13 Patent Pending, 30 Registered Software

  22. Tech/Biz Consulting Software Solution Innovative Service Ubiquitous Computing Knowledge Engineering Knowledge Sharing, Reusing Knowledge Discovering Intelligent Web Web 2.0 + alpha Semantic Web Semantic Web Service Context Awareness Personalization Service Adaptation Knowledge Accessing Business Area Knowledge Communication Company

  23. Lesson to Learn and Conclusion • Commercializing semantic technology has already been come true in Asia. • Scalability : 1B is not enough. We need 10B~100B!!!  We have to consider distributed architecture! • Data interoperability is the KEY for NG Mobile, Ubiquitous Computing and also the Web. • Valuable Applications : Semantic Search, Personalization and Recommendation. • We are going to real service business based on semantic web.

  24. “IT’S THE WEB OF DATA” Thank you for your attention! Further Questions? Lucy Cho (lucycho@saltlux.com) Tel. +822-3402-0081 (#223)

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