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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.
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