刘建华

张智雄

谢靖

邹益民

English

National Science Library,Chinese Academy of Sciences

Profiling Science & Innovation Policy by Object-based ComputingZhang Zhixiong,  Liu Jianhua, Xie Jing,  Zou Yiming,  Qian LiNational Science Library, Chinese Academy of ScienceSept.14, 2011Outline� Background Information � Ideas of Profiling Science & Innovation Policy� System Implemented on Profiling ...� Issues and DiscussionsOutline� Background Information � Ideas of Profiling Science & Innovation Policy� System Implemented on Profiling ...� Issues and DiscussionsWelcome to my library!National Science Library, Chinese Academy of ScienceMain Library  in BeijingLanzhou Branch Library Chendu Branch Library Wuhan Branch LibraryMain Library1. Background Information � National Science Library, Chinese Academy of Science�  information analysis services� monitor scientific research activities� identify the research trends� detect the progress of the research areas� support decision maker to develope research policy for China 1. Background Information � So...� it is very important to learn timely the science & innovation policies published in key website such as � OSTP  ( the Office of Science and Technology Policy of the White House)� NAP reports from NAS ( National Academy of Sciences) � ......Example of Important Web Resource on science & innovation policyinnovation strategy of America byPresident Obama ( Office of Science and Technology Policy)"Sputnik moment" (January 25, 2011)Remarks by the President in State of Union AddressExample of Important Web Resource onscience & innovation policy1. Background Information  � Several projects have been carried out to support automaticly (semi-automaticly) monitoring the S & T research activites：� Science Monitoring and Evaluation based on Scientific Web  Information (project of National Key Technology R&D Program in the 11th Five year Plan of China, 2007-2010)� Technologies and methodologies for topic burst detection from web resources ( National Social Science Fund 2009-2011)� Automatically Monitoring System for  Sci. & Tech. Institutes (From Chinese Academy of Science, 2010-2012)1. Background Information  � Those projects try to:� obtain timely the new web pages from the key research institutes� judge the intelligence value of these web pages � disclose the main content of the new web pages� calculate the topics and objects (the person, the instututes, the projects... ) embedded in these resources� visualize the pattens and trends base on the calculations� ......Web Resources from Key InstitutesTimely UpdatedOpen Publishedgood resources for profiling the S&T policy of the institutesUnstructuredNon-semantic？1. Background Information  Outline� Background Information � Ideas of Profiling Science & Innovation Policy� System Implemented on Profiling ...� Issues and Discussions2. Ideas of Profiling...� The core of our projects is � "Profiling Science & Innovation Policy by Object-based Computing"� Object� named entities embedded in web pages, such as � science strategies and policies, "A Strategy of American Innovation"� key initiatives & research programs, "Framework 8"� key research institutes, ""� ...� Object-based Computing� extract the objects from the web page and do calculation of those objects to disclose the pattern and trends of changing situationThe Process of ProfilingAutomatic ExtractionAutomatic ExtractionAutomatic ExtractionAutomatic ExtractionData MiningAnd In-depth AnalysisResearch Profiling…2. Ideas of Profiling ...� 4 main ideas:� Monitoring the changes of science policy by continuously harvesting science & innovation policy information;� Turning the free texts into time-stamped objects to support object-based computing;� Building large scale knowledgebase based on time-stamped objects to achieve semantic mining of related topics;� Profiling the status of science policies using visualization technologies.2. Ideas of Profiling ...(1)Monitoring the changes by continuously harvesting …Dataset of 2012Dataset of 2011Web site,  News, RSS…New science strategiesNew research activitiesNew research programsNew sci. achievementsNew termsNew topicsNew research area……2. Ideas of Profiling ...(2)Turning the free texts into time-stamped objects � Information Extraction technologies� Turning the free texts into two types of simple structured objects with  time-stamps� Object Type, Object Itself, Time Stamp� Object A, Object B, Relationship, Time Stamp2. Ideas of Profiling ...� For example:� July 13, 2010,  White House Announces National HIV/AIDS Strategy� We turn it into following time-stamped objects� Object type, Object, Time stamp� Strategy,  National HIV/AIDS Strategy,  July 13, 2010� Object A, Object B, Relationship, Time Stamp� White House, National HIV/AIDS Strategy, Announces, July 13, 20102. Ideas of Profiling ...LarKC: The Large Knowledge ColliderThe aim of the EU FP 7 Large-Scale Integrating Project LarKC is to develop the Large Knowledge Collider (LarKC, for short, pronounced “lark”), a platform for massive distributed incomplete reasoning  that will remove the scalability barriers of currently existing reasoning systems for the Semantic Web.LarKC is sponsoring the following international scientific events:11th International Conference on Principles of  Knowledge Representation and Reasoning (KR 2008)…… relationshiptermsystemprojectconferenceobjects extractedrelationship between objects2. Ideas of Profiling ...(3) Building large scale knowledgebase based on time-stamped objects to support the calculation of the indicatorsMonitoringModelAMonitoringModelBIndicator sys AIndicator 1Indicator 2Indicator 3Indicator 4Indicator …Indicator sys BIndicator 1Indicator 2Indicator 3Indicator 4Indicator …AAAMonitoringBBBMonitoringObj1Obj2Obj3Obj4Obj5Obj6Obj7Obj…Obj…A institution datasetTime1Time2Time3Time4Time5Time6Time7Time…Time…2. Main Ideas of Profiling ...(4)Profiling the status of science policies using visualization technologies � Visualization technology based on Webs� Flex Architecture Outline� Background Information � Ideas of Profiling Science & Innovation Policy� System Implemented on Profiling ...� Issues and Discussions3.System Implemented� A system developed for monitoring Science and innovation policies, profiling the policies from key institutes 3. System implemented� (2) 9 kinds of important content are monitored � Formal Declaration � formal statement & declaration on some key sciences issues� Strategy Plan� strategy (strategic plan) for science, technology and innovation� Research Program� Project, key initiative &  research program� R & D Budget� science budget, science funding, R&D budget� S &T Statistics� statistics, science, technology and R&D statistics, GDE on R&D, S&T Indicators 3. System implemented� (2) 9 kinds of important content are monitored � Policy Management� science and technology policy, innovation management, decision making, policy-making� Organization Restructure� organizational adjustment, change, expansion, organizational restructuring� Scientific Achievement � Breakthrough, scientific achievement, research achievements, outstanding research accomplishments� Report� Periodic Report, Annual Report, Technical Report3. System implemented� (3) judge the intelligence value of the new web pages by several features:� the importance of the institue where the new web pages come from� intelligence value of objects embedded in the resource� intelligence value of sensitive word in the resource, such as:� Strategic plan, vision & strategy, policies, guidelines, annual Report, organization Chart ……� calculate the intelligence value of the web page, mark the importance of web pages  by the number of starMark intelligence value of the web page3. System implemented� (4)classify the science policies� classify the policies into more detailed categories, such as � formal scientific declaration� strategic plan� R&D budget� organization restructure� etc.,� Using automatic classification toolsCategory Browsing: strategic planCategory Browsing: research programCategory Browsing: R&D Budget3. System implemented� (5) Identify Rich Text from Web page� Rich Text: PDF files, WORD files, PPT files……� Report, Statistics, Declaration, Summaries� High value of information� Identify Rich Text  files after each crawl� Cache the Rich Text files for future usingRich Text filesRich Text files3. System implemented� (6) Object Extraction� Extract key terms and objects from the Web pages� Information Extraction� Term extractionOriginal ContextObject Extracted View of the Web Page3. System implemented� (7) Perform Topic navigation� Clustering the web pages in a web site for easy browsing and exploring� Topic clustering based on extracted termsTopic navigation of OSTP 3. System implemented� (7) Identify important objects� Identify key players and key activities in one institute� Key project� Key person� Key foundation� Key conference� ……Key Persons in OSTPmonthly appeared frequency of John P. Holdren in OSTP websiteKey Programs appeared in OSTPKey Institutes appeared in OSTP 3. System implemented� (8) Identify important topics� Identify important topics in a web site� topic based on terms frequencykey topics in OSTP3. System implemented� (9) Identify Hot topics� Identify the hot topics in a periodsHot topic in July of OSTP "Advanced Manufacturing" Hot topic in Jan of OSTP is "Scientific Integrity" "Scientific Integrity" also Hot topic of OSTP in Sept.  Outline� Background Information � Ideas of Profiling Science & Innovation Policy� System Implemented on Profiling ...� Issues and Discussions4.Issues and Discussions� It is relative easy to implement a experiment system.� It is very difficult to push the experiment system into practical usable system.� Lots of semantic technologies are needed� Knowledge from S & T policy expert� Ontologies of key institutions� Lots of things still needed to be doneThanks！Thank You for Your Attention!谢谢!zhangzhx@mail.las.ac.cn

Profiling Science & Innovation Policy by Object-based Computing

http://ir.las.ac.cn/bitstream/12502/5866/4/16268

Profiling Science & Innovation Policy by Object-based Computing

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National Science Library,Chinese Academy of Sciences