Sciatica
发表于 2025-3-28 15:48:56
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
发表于 2025-3-28 20:08:00
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不舒服
发表于 2025-3-28 23:15:27
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
发表于 2025-3-29 03:38:02
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MAUVE
发表于 2025-3-29 07:57:45
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
发表于 2025-3-29 14:18:56
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错
发表于 2025-3-29 17:32:02
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extinguish
发表于 2025-3-29 22:02:21
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阻止
发表于 2025-3-30 02:38:24
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Resign
发表于 2025-3-30 05:24:00
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