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Rahman Hyatt, Minesoft
Get up to speed with new PatBase Analytics, PatBase and Express enhancements, and newly launched alerting services for tracking citations and legal status.
Haijing Liu, IPPH
Jean-Michel Careil, Intellixir
Laurent Michel, Europatis
Benno Jensen, Thomson Reuters
Roland Gissler, Questel
Latest enhancements from Questel now available in the Orbit 1.9 release - enhance your patent search and analysis skills. The first phase of Questel's Fampat and Pluspat reload has been completed. Improving our prior art search module:
and our Intellectual Property Business Intelligence (IPBI) module:
Richard Garner, LexisNexis
Henrik Bang, ProQuest Dialog
George Schizas, Genshape Management
Sascha Kamhuber, infoapps GmbH
Leading-edge semantic search algorithms, automatic classification features, intelligent distribution, and a streamlined workflow support ensure highest possible efficiency for your IP work, when using our Patent Research and Information systems. Competitor, technology, and legal status monitoring are supported in a most powerful fashion. Supplemented by flexible assessment capabilities, you will be empowered to establish your individual patent knowledgebase
Rosa Alentorn, IFI CLAIMS Patent Services
IJsbrandt 't Mannetje, Scipat
John Tinsley, Iconic Translation Machines
Philipp Daumke, Averbis GmbH
Monitoring of competitors, contractors, or certain products is a high demand in various industries. Analysing patents, research literature and expert blogs is one strategy to complement this complex puzzle. Such an analysis comprises the detailed assessment of large corpora to specific technology fields. The process of search, filtering and categorisation of big data sets go typically far beyond simple keyword search. Currently, the process of gaining knowledge from such data is still a tedious and time consuming expert work. Current software often does not cover the full analytics lifecycle or does not achieve the precision required for automating analyses. Language technologies are a promising approach to support more fine-granular analysis of data. We present an approach that combines text-mining, semantic search and machine-learning technologies to gain knowledge from unstructured data with both high precision and completeness. The software identifies business-critical facts and relationships hidden to effectively support information driven decision making. By integrating heterogeneous data sources, we support IP professionals in competitor and patent landscaping analyses as well as in early drug discovery. In different real-world evaluations our approach reaches accuracy rates being on par with the results of human experts expert judgements with a reduction of manual effort of up to 80%.
Andreas Hofmann, G.E.I. KRAMER & HOFMANN mbHXPAT is in an in-house information system for patents and literature data. It is possible to convert any professional data, legacy data and data for free into the XPAT database. After the conversion the database will keep all these data in a common format, so that all the data can be searched by the same professional search language of XPAT with Boolean, numeric and proximity operators. An important feature of a modern system is the implementation of a patent workflow. An example will show how this workflow works in XPAT. First step: Definition of search profiles which search for new data for example at DEPATISnet. New hits will automatically put in the database. It is an automatic job without any further user action. By an internal search profile XPAT will detect new documents and according to the search profile's content (defined by the contented the search profiles) XPAT will send the documents to certain users (step 2). With the help of a traffic light system the user will decide about the importance of a document and so in step three the patent department will receive as quickly as possible complete and detailed information about relevant, important and dangerous documents of competitors.
Iustin Diaconescu, WIPO
Klaus Heumann, Biomax Informatics AG
Enrichment and semantic representation of content resources are key to effectively working with patent information. Principles and concepts of knowledge management provide effective tools to address this challenge in light of the ever increasing volume of textual and non-textual data resources produced and published.
Doris Spielthenner, Ambercite
Manish Sinha, Gridlogics Technologies
Harald Seitz, German Patent and Trademark Office (DPMA)