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Copyright © 2013, KISTIMSRA Meeting (2013.1)

InSciTe Project

Hanmin JungHead 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 capacityto store informationin the hundreds of terabytesto 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

DecisionSupport

Forecasting

ScenarioPlanning

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 hierarchyStandard 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 technologiesMarket 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 TechnologiesProgram

� 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 ModelEmerging Technology Discovery Model

TLCD ModelTechnology Life Cycle Discovery Model

TLC ModelTechnology Life Cycle Model

OntoRelFinder®Relationship Path Finder

OntoReasoner®Reasoning Engine

OntoURI®Semantic Knowledge Manager

OntoPipeliner®Semantic Service Composer

SS&AESemantic Search & Analytics Engine

OntoURIResolver®Identity Resolver

SINDI-CORE/LINKEntity & Relationship Extractor

TUC ModelTerminology Use Cycle Model

Ontology

Linked Data

OntoFrame

OntoVerifier®Reasoning Verifier

Web Data CrawlerRSS/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

[email protected]

“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

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