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Searching and Generating Authoring Information: A Hybrid Approach
Abstract
In this paper, the authors propose a novel approach to search and retrieve authoring information from online authoring databases. The proposed approach combines keywords and semantic-based methods. In this approach, the user can retrieve such information considering some specified keywords and ignore how the internal semantic search is being processed. The keywords entered by the user are internally converted by the system to a semantic query that will be used to search the requested information. The authors then use (X)HTML-based templates for the automatic construction of BibTeX elements from the query results.
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