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Link to original content: http://en.wikipedia.org/wiki/Information_Retrieval_Facility
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Information Retrieval Facility

From Wikipedia, the free encyclopedia
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The Information Retrieval Facility (IRF), founded 2006 and located in Vienna, Austria, was a research platform for networking and collaboration for professionals in the field of information retrieval. It ceased operations in 2012.

Scientific goals

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  • Modeling innovative and specialized information retrieval systems for global patent document collections.
  • Investigating and developing an adequate technical infrastructure that allows interactive experimentation with formal, mathematical retrieval concepts for very large-scale document collections.<
  • Studying the usability of multimodal user interfaces to very large-scale information retrieval systems.
  • Integrating real users with actual information needs into the research process of modeling information retrieval systems to allow accurate performance evaluation.
  • Ability to create different views of patent data depending on the focus of the information needed.
  • Defining standardized methods for benchmarking the information retrieval process in patent document collections.
  • Ability to handle text and non-text parts of a patent coherently.
  • Designing, experimenting and evaluating search engines able to retrieve structured and semi-structured documents in very large-scale patent collections.
  • Integrating the temporal dimension of patent documents in retrieval strategies.
  • Improving effectiveness and precision of patent retrieval, based on ontologies and natural-language understanding techniques.
  • Refining IR methods that allow unstructured querying by exploiting available structures within the patent documents.
  • Formal (mathematical) identification and specification of relevant business information needs in the field of intellectual property information.
  • Investigating efficient scaling mechanisms for information retrieval taking into account the characteristics of patent data.
  • Investigating and experimenting with computing architectures for very high-capacity information management.
  • Establishing an open eScience platform that enables a standardized and easy way of creating and performing IR experiments on a common research infrastructure.
  • Discovering and investigating novel use cases and business applications deriving from intellectual property information.
  • Enabling formal information retrieval, natural language and semantic processing research to grow into the field of applied sciences in the global, industrial context.
  • Development and integration of different information access methods.
  • Research on effective methods for interactive information retrieval.

References

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