InSciTe Project

Copyright © 2013, KISTIMSRA Meeting (2013.1)
InSciTe Project
Hanmin Jung
Head of the Dept. of Computer Intelligence Research

KISTI
Institute of Advanced Information
S/W Research Center
Dept. of Computer Intelligence Research

Copyright © 2013, KISTIMSRA Meeting (2013.1) 3
Human vs. Machine Intelligence

Machine Intelligence
http://powet.tv/powetblog/wp-content/uploads/2011/02/watson_the_computer_beats_ken_jennings_and_brad_rutter_at_jeopardy_full.jpg
IBM Watson

http://cdn3.digitaltrends.com/wp-content/uploads/2011/10/1200-siri.jpg
Standford’s Robotic Car

http://cdn3.digitaltrends.com/wp-content/uploads/2011/10/1200-siri.jpg
Apple Siri

Web Evolution

Size of Data in the World
http://www.ektron.com/billcavablog/Big-Data-Big-Content-Big-Challenges/
Q: How about human?
A: Our brain has the capacity
to store information
in the hundreds of terabytes
to petabyte range.

Effect of Big Data
Search Evaluation
http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en//pubs/archive/40491.pdf

Search
Clustering
Extracting
Decision
Support
Forecasting
Scenario
Planning
Advising
Modified from D. Bousfield & P. Fooladi, “STM Information: 2009 Final Market Size and Share Report”, 2010.
Value Pyramid
InSciTe Advanced (2011)
InSciTe Adaptive (2012)

Needs of Experts
Relationship between technologiesRelationship between technologies
Leading companiesLeading companies
Technology gapTechnology gap
New entriesNew entries
Social informationSocial information
Technology hierarchyTechnology hierarchy
Standard patentsStandard patents
Product informationProduct information
Trend reportsTrend reports
Search historySearch history
Partner candidates recommendationPartner candidates recommendation
Significance of papers/patentsSignificance of papers/patents
Market sharesMarket shares
Citation informationCitation information
Key players in groupKey players in group
Core technologiesCore technologies
Market sizeMarket size
Information verificationInformation verification
11

Technology Intelligence
R. Rohrbeck, H. Arnold, and J. Heuer, “Strategic Foresight in Multimedia Enterprises”, 2007.

Quantitative Analytics

Quantitative Analytics
http://www.google.com/insights/search/
Insights for Search

TI Projects
FUSE
Funded by IARPA (early 2011 ~ early 2016)
Kick off meeting in summer, 2011
Foresight and Understanding from Scientific Exposition Program
Seeks to develop automated methods that aid in the systematic,
continuous, and comprehensive assessment of technical emergence using
information found in the published scientific, technical, and patent
literature
Partners
BAE Systems, Brandeis Univ., New York Univ., 1790 Analytics, …

TI Projects
CUBIST
Funded by the European Commission (late 2010 ~ late 2013)
1st CUBIST workshop in July, 2011
Combining and Uniting Business Intelligence with Semantic Technologies
Program
Aims to develop new ways to interrogate not only the massive volume data
on the Internet, but also analyze the different formats it exist in – such as
blogs, wikis, and video
Partners
SAP, Ontotext, Sheffield Hallam Univ., …

TI Projects
Common Technologies
Semantic technologies
Ontology, reasoning, URI scheme
Analytics model
BYOM (e.g. technology opportunity discovery model, technology
evolution model, formal concept analysis model)
Information extraction (InSciTe, FUSE)
Named entities and events/relations in textual documents

Data Fact Sheet
Articles: 15.4 millions (6.7 millions for papers, 8.7 millions for patents)
IEEE proceedings/journals (2001~2011)
Papers for all technical areas (2009~2011)
US/EU/Japan patents (2001~2011)
Technical terms: 68 thousands
Institutions: 340 thousands

Crawling Web Data by RSS & Google API

Data Fact Sheet
Articles: 22.6 millions (9.8 millions for papers, 7.6 millions for patents, 5.3
millions for Web data)
All technical areas (2001~2011)
Named entities: 1.9 millions
Authority dictionary: 1.5 millions entries
Linked Data: 290 GB (will be connected)

Big Data Test Bed

Case Studies
Ministry of Justice (2007~)

Case Studies
Korea Customs Service (2010~2011)

Case Studies
Defense Agency for Technology and Quality (2011~2012)

ISTIC, China
For national digital library based on analytics
Case Studies

InSciTe Architecture
Analytics Models
ETD Model
Emerging Technology Discovery Model
TLCD Model
Technology Life Cycle Discovery Model
TLC Model
Technology Life Cycle Model
OntoRelFinder®
Relationship Path Finder
OntoReasoner®
Reasoning Engine
OntoURI®
Semantic Knowledge Manager
OntoPipeliner®
Semantic Service Composer
SS&AE
Semantic Search & Analytics Engine
OntoURIResolver®
Identity Resolver
SINDI-CORE/LINK
Entity & Relationship Extractor
TUC Model
Terminology Use Cycle Model
Ontology
Linked Data
OntoFrame
OntoVerifier®
Reasoning Verifier
Web Data Crawler
RSS/Google API
Web Data
Literatures

InSciTe Project
Goal & Tasks (2013)
Development of S&T Literature Big Data Analytics/Application Platform
Big Data mining technology
Semantic analytics technology
Big Data relationship analytics/application technology
Technologies
Text mining
Multimedia mining
Semantic integration
Reasoning and graph analysis
Modeling and assess for relationship analytics and application

InSciTe Project
Partners (2013)
OVUM, UK
Building analytics model
Understanding business needs
Planning InSciTe service
MSRA, China
TBD
GESIS & Hildesheim Univ., Germany
Analyzing patent trends
Assessing InSciTe service platform
…

Homepage
http://semantics.kisti.re.kr

Thank you
jhm@kisti.re.kr
“A lot of times, people don’t know what they want until you show it to them.”
by Steve Jobs
“Many people won’t be convinced until they’ve seen it for themselves.”
by Jakob Nielsen

InSciTe Project

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