Titlebook: Natural Language Processing and Information Systems; 5th International Co Mokrane Bouzeghoub,Zoubida Kedad,Elisabeth Métais Conference proc

Sciatica

An Ontology for Classifying the Semantics of Relationships in Database Designoliferation of both traditional, corporate, and now, web-based, databases representing similar entities, comparison of relationships across these databases is increasingly important. The ability to compare and resolve similarities in relationships in an automated manner is critical for merging diver

insightful

不舒服

Using Terminology Extraction to Improve Traceability from Formal Models to Textual Requirementstween (informal) textual requirements and (formal) object models. We show that terminological knowledge facilitates the production of traceability links, provided that language processing technologies allow to elaborate semi-automatically the required terminological resources. The presented system i

Conflagration

MAUVE

Domain Analysis and Queries in Context being very vague is to be sharpened with the assistance of the system. Also, the response to a query is more meaningful when presented in context. We recognize three types of context: essential, reference, and source. Essential context associates the response to a query with a time and place. Refer

indigenous

錯

extinguish

阻止

Resign

Automated Information Extraction out of Classified Advertisementsses both lexical (words, regular expressions)an d contextual information to structure the content of the ads on the basis of predefined thematic forms. The paper first describes the enhanced tagging mechanism used for extraction. A quantitative evaluation of the system is then provided: scores of 99