User-Adaptive and Guiding R&D Planning System Empowered by Text Mining. - InSciTe Adaptive -
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1 User-Adaptive and Guiding R&D Planning System Empowered by Text Mining - InSciTe Adaptive - Dec. 3, 2012 Seungwoo Lee KISTI TAW Boston 2012
2 Business Strategy n a.k.a. Strategic Management n On-going process that n evaluates and controls the business and the industries in which the company is involved; n assesses its competitors and sets goals and strategies to meet all existing and potential competitors; n reassesses each strategy regularly n The identification of the purpose of the organization and the plans and actions to achieve the purpose n Set of managerial decisions and actions that determine the long term performance of a business enterprise TAW Boston 2012 R.B. Lamb, Competitive strategic management, Englewood Cliffs, NJ: Prentice-Hall,
3 Technology Strategy n The overall plan which consist of objectives, principles and tactics related to development and application of the technologies within an organization n Technology should be utilized as part of an organization s business strategy n Strategy = Goals + Means for the goals + Execution of the means TAW Boston 2012 S.W. Floyd, C. Wolf, Technology Strategy, In: V.K. Narayanan, & G.C. O Connor (eds.) Encyclopedia of technology and innovation management. John Wiley & Sons Ltd, West Sussex, pp , ISBN (2010) 3
4 Technology Planning n Making the planning process for IT investments and decision-making a quicker, more flexible, and more thoroughly aligned process n Selection of target emerging technologies n When and how to acquire the target technologies TAW Boston S. Leaver, Tools for IT planning, Forrester Research (2009)
5 Technology Planning (cont ) n Five steps TAW Boston Understanding of meaning and hierarchy of a target technology o What is the technology? 2. Understanding of core and strategic technologies related to the target technology o What technologies are strategic? 3. Understanding of technical competencies and technology competitors o What are distinctive technical competencies? 4. Establishment of technology strategy o What technical efforts must be made? 5. Execution of technology strategy o How can technology strategies be implemented? J.J. Lee, J.T. Bae, Dimensions and Contents of Technology Strategy, Lecture note MGT532 (2001) 5
6 Technology Intelligence R. Rohrbeck, H. Arnold, and J. Heuer, Strategic Foresight in Multimedia Enterprises, TAW Boston
7 Needs of Experts in Institutions and SMEs Relationship between technologies Market analysis Market shares Technology convergence Technical support Citation information Social information Standard patents New entries Technology gap Leading companies Development of overseas market Technology hierarchy New entries Market size Business directivity Significance of papers/patents Product information Key players in group Economic valuation of technology Partner candidates recommendation Search history Trend reports Discovery of emerging technologies Core technologies Business value Information verification TAW Boston
8 Decision Making TAW Boston Perficient Inc., Predictive Analytics: Next Wave in Business Intelligence
9 1.8 Zettabytes in 2011 Q: How about human? A: Our brain has the capacity to store information in the hundreds of terabytes to petabyte range. TAW Boston
10 Analytics n Reducing Zettabytes of Data Down to a Few Bits Data help us make better decisions. The primary function of analytics is to support decision making. The challenge of big data analytics is to reduce a lot of data down to a few bits. TAW Boston
11 Value Pyramid Scenario Planning Advising Forecasting Decision Support Extracting Search Clustering Modified from D. Bousfield & P. Fooladi, STM Information: 2009 Final Market Size and Share Report, TAW Boston
12 InSciTe n Intelligence from Science and Technology n A technology intelligence system that supports technology planning (first four steps) n Analyzes technology-related literatures: papers, patents, and news and magazine articles n Uses text mining and semantic web technologies TAW Boston
13 Knowledge Acquisition Processes LOD Ontology Schema News Wiki Mag. Gathering & Preprocessing Text Mining (Entity & Relation) Paper & Patent Reference DB Knowledge Processing Analytics DB Triples Query Processing & Analytics Repository & Inference TAW Boston
14 Components InSciTe OntoVerifier Reasoning Verifier OntoPipeliner Semantic Service Composer OntoRelFinder Relationship Path Finder OntoReasoner Reasoning Engine OntoFrame SS&AE Semantic Search & Analytics Engine TOD Model TLCD Model Technology Life Cycle Discovery Model OntoURI Semantic Knowledge Manager Ontology TLC Model Technology Life Cycle Model ETD Model Emerging Technology Discovery Model SINDI-CORE/LINK Entity & Relationship Extractor OntoURIResolver Identity Resolver Linked Data TUC Model Terminology Use Cycle Model TAW Boston
15 Entity and Relation n Elements of Scientific Technology Intelligence n Named-Entity o Person: person name o Location: nation, city o Organization: company, institution, university o Technology: technical terms, domain terms o smart phone, LTE, o Product: product name o ipad, Galaxy S3, n Semantic Relationships o between entities n Temporal Information o attached to event relations o required for time-series analysis TAW Boston
16 Entity and Relation (cont ) Per Time* competeorg*, issimilarorg, supplement*, collaborate*, competebylaw* Nation hasnation Org sue*, found*, invest*, takeover*, hascustomer* Org ownproduct*, useproduct*, sell*, announce*, produce* owntech*, usetech*, develop*, launch*, patenttech* Prod partof, succeedingproduct*, substitutedforproduct* competeproduct*, similarproduct Prod isatech usedfor*, consistof Tech isadomain, succeedingtech*, substitutedfortech*, elementary competetech*, converge, similartech Tech TAW Boston
17 Entity and Relation (cont ) News article Lumia 900 is one of the first Windows Phone device to support a 4G networking technology. both Nokia and its partner Microsoft to flog the new Lumia smartphone, which runs Windows Phone, Samsung Electronics on Thursday unveiled a new tablet PC named the Galaxy Tab that Samsung's Galaxy Tab tablet is not a copy of Apple's popular ipad, TAW Boston
18 Entity and Relation (cont ) Semantic Network Lumia 900 partof Windows Phone Lumia 4G network smartphone Nokia collaborate Microsoft Samsung Electronics announce produce Galaxy Tab isatech tablet PC competeorg Apple Inc. produce ipad Technology Product Organization TAW Boston
19 SINDI Text Mining Platform Source Manager Source Segmentation Module SINDI-CORE ML based Learner Dict. Based Identifier SINDI Engine SINDI-LINK Pattern-based Relation Extractor ML based Relation Extractor Application Manager Triple Generator Patent USPTO Google Patent Bing Search Wikipedia Naver Data Manager Source Repository External Resource Handler ML based Recognizer Rule Learner Rule Applier External Resource Analyzer Termhood based Identifier Variation Identifier Termhood Calculator Sentence Splitter Structure Parser Tokenizer Pair Generator Co-occurrences Extractor (Patent, Web) Resource-based Relation Filter Common Resources POS Tagger Stemmer Chunker Pattern Generator Bootstrappingbased Pattern Extension Resources Analyzer (Thesaurus, MEDIE) Terminology/NE Synonym, Verb Dictionary Acronym/Abbr. Rule/Pattern/ Stopwords/Cache Graph Generator Tech. Cluster Generator Tech. Genealogy Generator Result Repository Query Analyzer Tech. Cluster Visualizer Matching Module Triple Visualizer Search Result Builder Tech. Genealogy Visualizer Graph Visualizer. Service Platform TAW Boston
20 SINDI Application Platform Visualization & Management Tool (WALKS) Runtime Monitoring SINDI-CORE Test-Bed Post-Management & Export SINDI-LINK Test-Bed Runtime Monitoring SINDI-CORE SINDI-LINK Acronym/Abbr. Terminology Stopwords Cache Performance Evaluation & Refinement Test Collection Construction Tool Training/Evaluation Set Relation Pattern Tagger Relation Pattern Database TAW Boston
21 SINDI-Core Input Sent. Seg. Tokenizing POS tagging Chunking TAW Boston
22 SINDI-Core (cont ) Entity Recog. Term Recog. Anaphora Result TAW Boston
23 SINDI-Link Config. Input Loading Parsing TAW Boston
24 SINDI-Link (cont ) Pruning PAS Relation Ext. Result TAW Boston
25 Web Search and Pattern Analyzer TAW Boston
26 Data Fact Sheet n n n n n Papers: 9.8 millions (proceedings: 0.8 millions, journals: 9 millions) n IEEE proceedings/journals (2001~2011) n Papers for all technical areas (2009~2011) Patents: 7.6 millions n US/EU/PCT patents (2001~2011) News: 248 thousands n NewYork Times, BBC, FoxNews, CNN, Thomson Reuters, USA Today, EtnEws (2001~2012) Magazines: 39 thousands n InformationWeek, GizMag, TechnologyReview, IEEE Spectrum, TechNewsWorld, DiscoverMagazine, IDC Press Release (2001~2012) Wikipedia: 5.0 millions n n n Technical terms: 338 thousands Products: 41thousands Organizations: 340 thousands n Nations: 205 TAW Boston
27 InSciTe Advanced (2011) Þ Technology Agent Technology Trends Agent Levels Technology Relationship Paths Agent Roadmaps Competitors and Collaborators TAW Boston
28 InSciTe Advanced (2011) n Technology Trends n Find emerging technologies among a full set of technologies n Determine the phase of each emerging technology n Predict the growth speed of each technology n Draw the life-cycle of emerging technologies Using decision tree method The count of technology occurrence Increasing/decreasing ratio TAW Boston
29 InSciTe Advanced (2011) n Agent Levels n Compute relative technology gaps among research agents of a given technology n Mark on a relative evaluation on the best basis n Group research agents in collaboration in the same color n Suggest key players out of the collaborators TAW Boston
30 InSciTe Advanced (2011) n Relationship Paths n Find hidden relationships between technologies and agents n All of the paths to the center from the target are highlighted The all-path finding problem in graph theory The ontology schema-based pruning method TAW Boston
31 InSciTe Advanced (2011) n Roadmaps n Show the history of major technologies of a given agent n Recommend the most likely technology candidates that will be studied TAW Boston
32 InSciTe Advanced (2011) n Competitors and Collaborators n Identify exact competitors and proper collaboration candidates n Two or more agents are compared using their major technologies, concentrativeness, and priority order in R&D n Enable users to find interesting R&D partners in ease TAW Boston
33 InSciTe Advanced (2011) n Demonstration TAW Boston
34 InSciTe Adaptive Insight Intention of users Mobility E.g. Technologies -> Common element technologies Products Manufacturers, Competitors TAW Boston
35 Service Flow Design Navigation Technology Trends Convergeable Technology Elementary Technology Roadmap Agent Level Partners and Competitors TAW Boston Report
36 Descriptive Insight Insight Big Data Management technology is estimated as emerging. This technology appeared at 2008 and shows continuous growth[sg-1]. 55% of technologies and 62% of products related to this technology also shows continuous growth. Adaptive and Guiding You are concerned about Big Data Management technology. If you want trend analysis on this technology, click GO. TAW Boston
37 Thank you Seungwoo Lee TAW Boston
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