Information Holdings Inc. was a company listed as IHI on the NYSE until its merger with The Thomson Corporation in November 2004. Its 2003 revenues were approximately 81 million. Mason Slaine, president and chief executive officer of IHI, reportedly welcomed the merger. Press releases indicated that IHI s activities, including brand names Micropatent , Aureka, MDC, and Liquent, would integrate seamlessly with Thomson Scientific & Healthcare s other businesses in areas of intellectual property and drug development workflow solutions. External links http www.thomson.com common view news release.jsp?body include press room news releases corporate Thomson To Acquire Information Holdings§ion corp&secondary news releases&tertiary archive&title Thomson To Acquire Information Holdings Inc. June 2004 announcememt Category Thomson family ... more details
Multiple issues newsrelease January 2008 primarysources February 2008 no footnotes February 2008 Thomson Scientific was one of the five operating divisions of The Thomson Corporation until 2008. Following the merger of Thomson with Reuters to form Thomson Reuters in 2008, it became the Scientific business unit of the new company. In 2009, the Scientific business came together with the Healthcare business to form the Healthcare & Science business of Thomson Reuters. The Science unit provides information based solutions for the academic, business and R&D communities. The Science business of Thomson Reuters has headquarters in Philadelphia , London, Singapore and Tokyo with about 2,400 staff in more than 20 countries. The Science business of Thomson Reuters provides integrated information solutions with brands like Aureka , Delphion, Derwent World Patents Index DWPI , EndNote , Horizon Global, Horizon Sourcing, IDdb, IDRAC, IP Management Services, ISI Web of Knowledge , MicroPatent PatentWeb, Techstreet Industry Standards, ThomsonPharma, IDDB, Thomson Regulatory Solutions, and Web of Science . See also Institute for Scientific Information External links http www.thomsonreuters.com business units scientific Website of the Scientific unit of Thomson Reuters Category Thomson family science stub med company stub ... more details
Multiple issues notability August 2009 primarysources August 2009 Thomson Data Analyzer works with patent, scientific databases and news sources to deliver information snapshots and graphs enable insights into Companies Current and Potential Product Portfolios Technology Landscapes Present State and Future Developments Features Compatible with an extensive range of internal and external databases, including Any structured database, in house or commercial using Import Engine Editor Value added Value added patent records from Derwent World Patents Index DWPI on Dialog, STN, Questel.Orbit, Delphion, and Derwent Innovations Index Patents Citation index Citation Index on Dialog and STN Full text patent documents from PatentWeb, Aureka, and Delphion Current and retrospective multidisciplinary journal information from INSPEC and Web of Science via ISI Web of Knowledge Data is auto summarized as it is imported so you instantly see trends You can create composite records from different data sources to give you a multi faceted view of a subject, e.g. PCI citation information into a full DWPI record INSPEC classifications to a Web of Science citation record. Pre defined tools enable you to perform automated analyses macros with a single click for detailed reporting on a single company or technology, or detailed comparisons of up to five companies Addition features Cleaned Lists e.g. combine company names to reflect M&A activity Classifications & Thesaurus incorporate your organization s terminologies and labels List Comparisons identify unique or common items within and across files Co occurrence matrices see trends and relationships, e.g. a company s patenting activity over time Maps visualise relationships between people, companies and technologies Applications Competitive intelligence Competitive Intelligence Evolution of competitors research and business strategies for insight into future plans Current product portfolio strengths & weaknesses for licensing M&A opportunitie ... more details
Patent visualisation is an application of information visualisation . Patents number has been increasing ref http www.wipo.int export sites www ipstats en statistics patents pdf 941e 2010.pdf ref , thus forcing companies to consider intellectual property as a part of their strategy. ref Kevin G. Rivette, David Kline Discovering new value in intellectual property Harvard Business Review January February 2000 ref . So patent visualisation like patent map patent mapping is used to quickly view patents portfolio. Patent visualisation dedicated software began to appear in 2000 like Aureka from Aurigin now owned by Thomson Reuters . ref http thomsonreuters.com products services legal legal products intellectual property Aureka ref Taking advantage of the innate visual language, software have been developed to convert patents in clear infographics or maps, to allow the analyst to get insight into the data and draw conclusions. ref Daniel A Keim et IEEE Computer Society, Information visualization and visual data mining, IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 8 2002 1 8. ref Also referred as patinformatics, ref Anthony J. Trippe, Patinformatics Tasks to tools, World Patent Information 25, n . 3 September 2003 211 221. ref it is the science of analysing patent information to discover relationsips and trends that would be difficult to see when working with patent documents on a one and one basis . Patents contain two types of information Structured data like publication number which are processed by data mining and unstructured text like title, abstract and claims which are used with text mining . ref Laura Ruotsalainen, Data mining tools for technology and competitive intelligence VTT Research Notes 2451 October 2008 ref Datamining The main step in processing structured information lies on data mining . Data mining ref http www.data mining software.com data mining history.htm ref has emerged in the late 1980s. Used in computer science and genetic algorithms, ... more details
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