Scientific Goals
- Modelling innovative and specialised 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 multi modal user-interfaces to very large-scale information retrieval systems.
- Integrating real users with actual information needs into the research process of modelling information retrieval systems to allow accurate performance evaluation.
- Ability to create different views of patent data depending on the focus of the information need.
- Defining standardised methods for benchmarking the information retrieval process in patent document collections.
- Ability to handle text and non-text parts of a patent in a coherent manner.
- 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 structure 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 standardised 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 the 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.
Read more about this topic: Information Retrieval Facility
Famous quotes containing the words scientific and/or goals:
“A poet’s object is not to tell what actually happened but what could or would happen either probably or inevitably.... For this reason poetry is something more scientific and serious than history, because poetry tends to give general truths while history gives particular facts.”
—Aristotle (384–323 B.C.)
“If you really think about it, everything is wonderful in this world, everything except for our thoughts and deeds when we forget about the loftier goals of existence, about our human dignity.”
—Anton Pavlovich Chekhov (1860–1904)