Beschreibung
Thukydides' 'Geschichte des peloponnesischen Kriegs' ist ein Meisterwerk der antiken Historiographie, das den langanhaltenden Krieg zwischen Athen und Sparta sowie deren Verbündeten während des 5. Jahrhunderts v. Chr. detailliert beschreibt. In ihrem literarischen Stil ist die Geschichte geprägt von präzisen Fakten und einer nüchternen Analyse politischer sowie militärischer Ereignisse. Thukydides legt großen Wert auf Objektivität und versucht, die Ursachen und Konsequenzen des Krieges zu verstehen, anstatt heroische Erzählungen zu schaffen. Sein Werk gilt als eines der ersten Geschichtsschreibungen, die menschliche Handlungen und Motive kritisch hinterfragt, und hatte einen nachhaltigen Einfluss auf spätere Historiker und Politikwissenschaftler.
Autorenportrait
Mihai Lupu obtained his PhD degree in 2008 under the SingaporeMIT Alliance at the National University of Singapore, where he researched data retrieval in peer-to-peer networks. He is continuing his research in the area of information retrieval, with an emphasis on patent retrieval, cross-lingual retrieval and chemical structure retrieval evaluation. At the IRF, he organizes the Chemical IR Evaluation campaign and the Patent Information Retrieval workshop series, and leads the institute's involvement in several research projects.
Katja Mayer (PhD, University of Vienna) specialized in social studies of science and worked as a consultant, researcher and university lecturer before joining the Information Retrieval Facility (IRF). She is interested in the historical and social implications of information retrieval applications and focuses on the public impact of search technologies.
John Tait (PhD, University of Cambridge, 1983) first followed a career in industry, mainly working on problems of large-scale information retrieval and management, before taking up a post at the University of Sunderland in 1991, where he eventually became Professor of Intelligent Information Systems and Associate Dean ofComputing and Technology, leading the University of Sunderland Information Retrieval Group. In September 2007 he took up the post of Chief Scientific Officer of the IRF. John is a past Program Committee chair of the ACM SIGIR conference (2005), past General Chair of the EuropeanConference on Information Retrieval (2004), an Associate Editor of ACM Transactions on Information Systems,and joint Editor of Natural Language Engineering, and he has published over 100 refereed conference and journal papers.His current research focuses on patent retrieval and multi-lingual search.
Anthony Trippe is Director of Intellectual Property Analytics with 3LP Advisors, which he joined in 2008. Previous to that he was Senior Innovation Manager at CAS where he was responsible for creating new product ideas around the areas of chemical, life sciences and patent information. He has a long history of working in the patent information field and has been a sought-after speaker for many years on the topic of patent analysis and visualization. In addition, Anthony is currently the PIUG (Patent Information Users Group, Inc.) Chair (20102012) and the Chair of the Patent Analysis Working Group.
Inhalt
Practical Experience and Requirements for Searching the Patent Space.- An Introduction to Contemporary Search Technology.- Overview of Information Retrieval Evaluation.- Evaluating Information Retrieval in the Intellectual Property Domain: The CLEFIP Campaign.- Evaluation of Chemical Information Retrieval Tools.- Evaluating Real Patent Retrieval Effectiveness.- Measuring and Improving Access to the Corpus.- Measuring Effectiveness in the TREC Legal Track.- Large-Scale Logical Retrieval: Technology for Semantic Modelling of Patent Search.- Patent Claim Decomposition for Improved Information Extraction.- From static textual display of patents to graphical interactions.- Automated Patent Classification.- Phrase-based Document Categorization.- Using Classification Code Hierarchies for Patent Prior Art Searches.- Information Extraction and Semantic Annotation for Multi-Paradigm Information Management.- Intelligent Information Access from Scientific Papers.- Representation and Searching of Chemical Structure Information in Patents.- Offering new insights by harmonizing Patents, Taxonomies and Linked Data.- Automatic Translation of Scholarly Terms into Patent Terms.- Future Patent Search.-
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