New PDF release: A Natural language and graphics interface : results and

By Gabriel G. Bes, Thierry Guillotin

ISBN-10: 0387556753

ISBN-13: 9780387556758

ISBN-10: 3540556753

ISBN-13: 9783540556756

This ebook offers vital effects from the ESPRIT venture 393 "Construction and Interrogation of data Bases utilizing typical Language textual content and photographs" (ACORD). The undertaking concerned greater than fifty humans overfive years, and incorporated commercial and educational companions from 3 international locations. the most results of the venture is a hugely refined human-machine interface permitting the development and interrogation of a standard wisdom base in English, French, and German, utilizing either normal language and photographs. bankruptcy 1 provides an assessment of the undertaking. Chapters 2-4 improve particular matters relating thegrammar types used (functional grammars and unification categorial grammars). bankruptcy five discusses anaphora answer and bankruptcy 6 textual content iteration. bankruptcy 7 explains the combination of textual content and photographs, and bankruptcy eight discusses the data base module. The contributions are theoretically orientated and strongly occupied with generalization and the underlying history of capability extra advancements.

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Extra resources for A Natural language and graphics interface : results and perspectives from the ACORD project

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An altar is made of different panels, as often as not by different artists. An illuminated book may have artistic value in itself, beyond the illuminations it contains. i) Artwork genres include paintings, sculpture, architecture, a piece of decorative art (jewelry, plate or cup, stained glass, tapestry), and other (mixed media, collage). j) An estate or a museum may be an artwork in itself k) Each artist is identified by name, pseudonym (optional), and dates of birth, death, or activity. ' Most artists have only a name, no pseudonym.

List the capitaUzed nouns in all your Business Statements. 2. Write a definition for each. 3. Go back over your collection of business rules, pull out any other nouns that might represent entities, and list them. 4. Beside each one, if it doesn't look like an entity, explain why it isn't an entity. 5. If you find a new entity, write one or more appropriate Business Statements for it. 6. Save the lists, definitions, and explanations in your project folder. Congratulations! You now have a basic entity roster, you have clarified your thinking about the problem, and you have a record of that thinking: something that you will find useful to refer to later on, as you revise the data model.

We might have done things this way. " BUILDING THE DATA MAP • 37 unique within the data mcxlel. In the world of data, an entity may eventually become a table in a real information system. Its characteristics—called attributes—^then become columns in that table. And the instances of the entity—data about real things like people, purchase orders, or products—populate rows in that table. We do not put actual people, purchase orders, or products into the rows of the table. That's impossible. We put information about entities into tables.

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A Natural language and graphics interface : results and perspectives from the ACORD project by Gabriel G. Bes, Thierry Guillotin

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