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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. - PowerPoint PPT Presentation
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Oct. 29th 2008 Tony Lee, Lucy Cho
Semantic Web in Asia : Example Use Cases
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Communicating KnowledgeCommunicating Knowledge
I. Overview
II. Use Cases
III. Infrastructure
IV.Saltlux Intro.
V. Conclusion
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Communicating KnowledgeCommunicating KnowledgeOverview
• 4 Categories for Semantic web use cases in Asia.• Semantic Search is hot thing in various industries.Semantic
Metadata Repository and IR
Ontology-based Digital Library
S-Wiki and S-Blog based Semantic Portal
Owlim.com
Mobile Content Recommendation and Personalization
Mobile Social Network Analysis
Middleware Platform for Context Aware-Services
Intelligent Service Platform for U- City
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Communicating KnowledgeCommunicating Knowledge1. 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
Triple Store Rule basedReasoning Engine
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Communicating KnowledgeCommunicating Knowledge1. Use Case for Semantic Search
Ontology-based MDR (Meta Data Registry)
User SchoolOrganizationInformation Service
OntologyTriple Store
Meta Data forCurrent DocumentSemi Current DocumentNon-Current Document
Concept, relations, descriptions
Archival DB
Portal DB
BufferDB
ThesaurusDB
API
Import Thesaurus
Ontology Instantiation
Tagging
OWL
OntologyModeler
Metadata Register
Import Ontology
Leg
en
d
Ontology DesignMetadata RegistryOntology Instantiation
Ontology Instance and Semantic Rules
Massive Triple Store (for 70,000,000 docs)
•Using Rule based reasoning for finding a document and a related subject (person, organization etc.)
Using ISO/IEC 11179 Meta-model
1.1. Semantic Metadata Repository and IR for National Archives
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Communicating KnowledgeCommunicating Knowledge1. 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
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Communicating KnowledgeCommunicating Knowledge2. 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
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Communicating KnowledgeCommunicating Knowledge2. Use Case for Mobile Platform
Legacy Network
IMS GatewayIMS GatewayUser Devic
e
IMS Network
CDR(Call Detailed
Record)
CDR(Call Detailed
Record)
Membership Service History
Membership Service History
Content Service History
Content Service History
Legacy Data Collector
Legacy Data Collector
Content Recommendation
Agent
Content Recommendation
Agent
Subscriber Information Extractor &
Analyzer
Subscriber Information Extractor &
Analyzer
Social Relationship
KB
Social Relationship
KB
User Preference KB
User Preference KB
Contents Metadata Repository
Contents Metadata Repository
Content Recommender
Content Recommender
Application Services Contents
Application Services Contents
Dynamic UI & Contents Generator
Dynamic UI & Contents Generator
Intelligent and Unified Notification
Gateway
Intelligent and Unified Notification
Gateway
Reco. Rule RepositoryReco. Rule Repository
AS Information Collector
AS Information Collector
HTTP on the IMS Network
Content Reco. KB
Content Reco. KB
User ProfileUser Profile
• Intelligent Mobile Service Platform based on IMS (IP
Multimedia Subsystem)
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Communicating KnowledgeCommunicating Knowledge
User Devices
Legacy Data
CDR(Call Detail
Record)
CDR(Call Detail
Record)
Membership Service History
Membership Service History
Content Service History
Content Service History
User ProfileUser Profile
User Behavior History
User Behavior History
User ContextUser Context
Discovery Social Relationship
Discovery User Preference
Awareness of User Context
Profile Identification
Profile Identification
Intimacy AnalysisIntimacy Analysis
Discovery Basic Social Relationship
Discovery Basic Social Relationship
Reasoning Social Relationship
Reasoning Social Relationship
Analysis Implicit User Behavior
Analysis Implicit User Behavior
Classification User Behavior
Classification User Behavior
Discovery Personal Preference
Discovery Personal Preference
Analysis Explicit User Behavior
Analysis Explicit User Behavior
Clustering Personal Preference
Clustering Personal Preference
Discovery Representative
Group Preference
Discovery Representative
Group Preference
Reasoning User Intension
Location(from Cell and GPS)
Location(from Cell and GPS)
Time(from System
Clock)
Time(from System
Clock)
Weather(from Ext. Service)
Weather(from Ext. Service)
Profile AnalysisProfile Analysis
Call Location Analysis
Call Location Analysis
User PreferenceUser Preference
User ContextUser Context
Scenario based Rule
Scenario based Rule
Preference and Contents MappingPreference and
Contents Mapping
Event driven Triggering
Event driven Triggering
Discovery Social Preference
Discovery Social Preference
2. Use Case for Mobile Platform
• Knowledge Discovery from 2G/3G Legacy Data
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Communicating KnowledgeCommunicating Knowledge2. Use Case for Mobile Platform
• Mobile Social Network Analysis based on CDRs and Context
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Communicating KnowledgeCommunicating Knowledge2. Use Case for Mobile Platform
Personalized Main Screen Privacy Management Preference Viewer
Shopping RecommendationContext based Tour Info. VOD Recommendation
• Working Applications
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Communicating KnowledgeCommunicating Knowledge
3. Use Case for Ubiquitous Computing
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
3.1. Middleware Platform for Context Aware-Services
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Communicating KnowledgeCommunicating Knowledge
[Intelligent Home Network Service]
3.1. Middleware Platform for Context Aware-Services
3. Use Case for Ubiquitous Computing
DEMODEMO
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Communicating KnowledgeCommunicating Knowledge
3. Use Case for Ubiquitous Middleware
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
3.2. Intelligent service platform for Ubiquitous City
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Communicating KnowledgeCommunicating Knowledge4. Use Case for Semantic Web
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.)
4.1. Saltlux’s Semantic Portal based on Semantic Wiki and Blogs
DEMODEMO
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Communicating KnowledgeCommunicating Knowledge
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
4. Use Case for Semantic Web
4.2. Web scale semantic search service (owlim.com)
DEMODEMO
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Communicating KnowledgeCommunicating Knowledge4. Use Case for Semantic Web
4.2. Web scale semantic search service (owlim.com)
GRID ArchitectureGRID Architecture
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Communicating KnowledgeCommunicating Knowledge4. Use Case for Semantic Web
4.2. Web scale semantic search service (owlim.com)
Owlim.com Google.com
Infrastructure Grid Computing Clustering Computing
Core Tech.STR (Semantic Topic Rank)
Page Rank
Storing Semantic Tripe IndexKeyword Index (inverted file)
Approach Semantic Discovery Keyword Search
사업 영역 Semantic Web, Web 3.0 The Web, Web 2.0
Database
of
Intention
• Semantic data for the web
• Semantic networks for each topic and time stamp
• Personalized Semantic Net
• Web content URI, Link DB
• User query logs
• Many others
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Communicating KnowledgeCommunicating Knowledge5. Infrastructures
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.
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. DEMODEMO
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Communicating KnowledgeCommunicating Knowledge
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
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
[IN2]SOR is integrated framework for semantic metadata searching and management based on Ontology and reasoning technologies.
5. Infrastructures
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Communicating KnowledgeCommunicating KnowledgeOverview of Saltlux, Inc.
Value Innovation Partner, Saltlux ! Company Name Saltlux Inc.
Established June 1st, 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
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Communicating KnowledgeCommunicating KnowledgeBusiness Area
IntelligentWeb
UbiquitousComputing
KnowledgeAccessing
Knowledge Engineering
Knowledge Sharing, Reusing
Knowledge Discovering
Web 2.0 + alphaSemantic WebSemantic Web Service
Context AwarenessPersonalizationService Adaptation
Knowledge Communication CompanyKnowledge Communication Company
Tech/Biz Consulting Software Solution Innovative Service
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Communicating KnowledgeCommunicating KnowledgeLesson 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.
• 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.
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Communicating KnowledgeCommunicating Knowledge
Further Questions?Lucy Cho ([email protected])Tel. +822-3402-0081 (#223)
“IT’S THE WEB OF DATA”“IT’S THE WEB OF DATA”