Objective
The NOMOS project is devoted to the development of tools for knowledge acquisition and reasoning for applications in the normative field. The validity of the tools to be developed will be tested through demonstration prototypes of specific applications.
The system includes an acquisition tool, NKAT (Normative Knowledge Acquisition Tool), which is intended to support a knowledge engineer in the formalisation of normative texts. The approach to be taken in developing this component will include linguistic analysis on selected portions of the text and topic identifications, aiming at a text formalisation suitable for the inference engine; the requirements of retrieval systems based on such a formalisation will also be considered.
A Knowledge Representation Language (KRL) will be defined based on the specific requirements of the normative fields. In particular, one of the latest approaches to KRL (eg hybrid systems) will be taken as a basis and augmented with normative elements resulting from an analysis of normative texts.
The applications are expert systems (a normative expert system for French and Italian) in the normative area; these will produce legal advice and suggestions when fed with specific cases. Starting from the specification of a "case", NINFE will deduce the relevant consequences of a set of formalised norms, with these norms extracted from the normative texts using NKAT. Furthermore, a Text Retrieval study on System (TRS) will be undertaken in order to demonstrate that NKAT is also suitable for applications different from expert systems.
The major result of the project should come from NKAT, namely the provision of a tool which will significantly help the task of engineering the knowledge of normative texts. Given the high cost of this task, and even though a high level of involvement by a human expert will still be required, this tool will represent a major advance in the development of knowledge-based applications, as well as applications of text retrieval, in the normative field.
The demand for knowledge-based applications in the normative field has been growing strongly over the past few years, and most partners in the consortium will exploit the outcomes of the project in this area. On the other hand, the reuse of the results of the project (in particular, NKAT) in other fields apart from the normative one is envisaged by some of the partners.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences knowledge engineering
- natural sciences computer and information sciences artificial intelligence expert systems
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
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Coordinator
00143 Roma
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.