Objective
To produce a set of software tools for the automated production of documents.
The work undertaken has been addressing the problem of the management of large sets of high quality documents in complex organisational environments. A set of tools for the production (mainly) and management of those types of documents has been under development. The technical effort was put into the design and implementation of a global architecture as a suitable basis for development applications. The kernel of the system consists of a software engine that understands the semantical content of the conceptual document and generates a final document according to the layout model defined by the presentation scheme. Nevertheless, the scope of the study is the development of real life applications for specific environments, mainly banks, in order to validate the kernel of the system on the issues of portabililty, functionality and toolkit support.
The production of documents is the basic activity of almost all offices. In particular, there are domains, such as banks, in public administration and in legal practices, where:
the documents produced follow predefined patterns (they cannot be created freely, but have to follow precise rules);
a large amount of data may be included in a document, and often the same data are used in a variety of closely related documents.
Many documents of an official nature exhibit these features. For this relatively large class of applications, the tools currently available for document production are largely inadequate and creation of these documents is still largely unautomated.
The technical approach of the project was based on the assumption that the characteristics of a given class of documents can be modelled by schemas. These schemas describe the structure of the document class and define all the variants which can be included in documents. When a user selects a schema, a semantic filter captures the data to be included in the document and transforms them into concepts (eg, the datum Mr Smith is associated with the concept seller). The collection of all these concepts is called a conceptual document. A specialized engine executes the schmea, using the conceptual document to generate a composed document, where the proper variants have been selected.
The set of software tools for a document workstation (SUPERDOC) project succeeded in producing a set of software tools for the automated production of these documents. This technology is being exploited in real life applications.
2 marketing strategies are being followed: to use the tools in existing applications as an add on for doucment production, and to develop specific applications that embed the SUPERDOC tools.
The production of documents is the basic activity of almost all offices. In particular, there are domains, such as banks, in public administration and in legal practices, where:
- the documents produced follow predefined patterns (that is, they cannot be created freely, but have to follow precise rules)
- a large amount of data may be included in a document, and very often the same data are used in a variety of closely related documents.
Many documents of an official nature, such as legal papers, contracts, official letters, forms etc, exhibit these features. For this relatively large class of applications, the tools currently available for document production are largely inadequate. The creation of these documents is therefore still largely unautomated, with a consequent expenditure of time and qualified staff resources.
The technical approach of the project was based on the assumption that the characteristics of a given class of documents can be modelled by schemas. These schemas describe the structure of the document class and define all the variants (such as data and sentences) which can be included in documents. When a user selects a schema, a semantic filter captures the data to be included in the document and transforms them into concepts (eg, the datum "Mr Smith" is associated with the concept "seller"). The collection of all these concepts is called a "conceptual document". A specialised engine executes the schema, using the "conceptual document" to generate a composed document, where the proper variants have been selected.
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 software
- social sciences political sciences public administration
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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)
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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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
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.
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
17564 ATHENES
Greece
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.