情报学报
情報學報
정보학보
2014年
12期
38-53
,共16页
乔晓东%朱礼军%李颖%徐硕%韩红旗
喬曉東%硃禮軍%李穎%徐碩%韓紅旂
교효동%주례군%리영%서석%한홍기
“事实型数据+专用工具+专家智慧”%技术情报工程%FAST4Wisdom%大数据%技术基础设施%新知识发现%行业技术创新平台
“事實型數據+專用工具+專傢智慧”%技術情報工程%FAST4Wisdom%大數據%技術基礎設施%新知識髮現%行業技術創新平檯
“사실형수거+전용공구+전가지혜”%기술정보공정%FAST4Wisdom%대수거%기술기출설시%신지식발현%행업기술창신평태
“factual data + specified tool + specialist wisdom”%technology intelligence engineering%FAST4Wisdom%big data%technology infrastructure%new knowledge discovery%industry technological innovation
大数据时代,科技情报工作面临着数据存储和处理云端化、计算能力云端化和专家决策智能化等诸多挑战。为应对这些挑战,本文认为情报处理和分析工作应以工程化和系统化的思路开展,进而提出了技术情报工程的理念和以技术基础设施为支撑的情报分析体系,使得分布在云端的事实型数据资源可以集成融合、情报分析工具可以组装配置、专家可以协同决策,从而丰富了“事实数据+工具方法+专家智慧”方法的内涵。最后,以技术洞察和技术创新服务平台为例,对这一新的工作体系进行了详细诠释。希望本研究能为大数据时代的科技情报工作提供新思路,为构建我国科技信息服务业的生态环境和解决创新型国家顶层设计的重大需求提供借鉴。
大數據時代,科技情報工作麵臨著數據存儲和處理雲耑化、計算能力雲耑化和專傢決策智能化等諸多挑戰。為應對這些挑戰,本文認為情報處理和分析工作應以工程化和繫統化的思路開展,進而提齣瞭技術情報工程的理唸和以技術基礎設施為支撐的情報分析體繫,使得分佈在雲耑的事實型數據資源可以集成融閤、情報分析工具可以組裝配置、專傢可以協同決策,從而豐富瞭“事實數據+工具方法+專傢智慧”方法的內涵。最後,以技術洞察和技術創新服務平檯為例,對這一新的工作體繫進行瞭詳細詮釋。希望本研究能為大數據時代的科技情報工作提供新思路,為構建我國科技信息服務業的生態環境和解決創新型國傢頂層設計的重大需求提供藉鑒。
대수거시대,과기정보공작면림착수거존저화처리운단화、계산능력운단화화전가결책지능화등제다도전。위응대저사도전,본문인위정보처리화분석공작응이공정화화계통화적사로개전,진이제출료기술정보공정적이념화이기술기출설시위지탱적정보분석체계,사득분포재운단적사실형수거자원가이집성융합、정보분석공구가이조장배치、전가가이협동결책,종이봉부료“사실수거+공구방법+전가지혜”방법적내함。최후,이기술동찰화기술창신복무평태위례,대저일신적공작체계진행료상세전석。희망본연구능위대수거시대적과기정보공작제공신사로,위구건아국과기신식복무업적생태배경화해결창신형국가정층설계적중대수구제공차감。
Under Big Data Era, science and technology information service is facing the challenges of Data Storage & Process as a Service, Computing Power as a Service, and Specialist Wisdom as a Service. To tackle such problems, this article argues that information processing and analysis should be undertaken by engineering and systematic patterns, and proposes the ideas of Technology Intelligence Engineering and intelligence analysis system supported by technology infrastructure, which is named as FAST4Wisdom. It can make factual data resources are integrated, specified tools assembled and configured, and specialists coordinated in cloud hosting services. Consequently it can enrich our previous “Factual data + Specified tool +Specialist wisdom” method. Finally, this article illustrates the new system of Technology Intelligence Engineering by two important cases; they are the Technology Insight and the Industry oriented Technology Innovation Service Platform. Our R&Ds are supposed to provide a creative idea for science and technology information service under the Big Data Era, and contribute to ecology of science and technology information industry and the top design of an innovative country for China.