some recommendations on publishing articles extracted from medline database
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منابع مشابه
Using Argumentation to Retrieve Articles with Similar Citations from MEDLINE
The aim of this study is to investigate the relationships between citations and the scientific argumentation found in the abstract. We extracted citation lists from a set of 3200 full-text papers originating from a narrow domain. In parallel, we recovered the corresponding MEDLINE records for analysis of the argumentative moves. Our argumentative model is founded on four classes: PURPOSE, METHO...
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BACKGROUND Receiving extraneous articles in response to a query submitted to MEDLINE/PubMed is common. When submitting a multi-word query (which is the majority of queries submitted), the presence of all query words within each article may be a necessary condition for retrieving relevant articles, but not sufficient. Ideally a relationship between the query words in the article is also required...
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As a key technology to implement Semantic Web, linked data have gradually been an academic and industrial concern. Linked data represents a practice of technologies on the web and linked structure data. The goal of linked data is to enable people to share structured data on the web as easily as they can share documents today. On the Web of data structured with linked data, users can jump from o...
متن کاملEditorial position on publishing articles on human organ transplantation.
The practice of transplanting organs from executed prisoners in China appears to be widespread. We vigorously condemn this practice and, effective immediately, will not consider manuscripts on human organ transplantation for publication unless appropriate non-coerced consent of the donor is provided and substantiated.
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Multi-document summarization is a challenge to information overload problem to provide a condensed text for a number of documents. Most multi-document summarization systems make use of extraction techniques (e.g., important sentence extraction) and compile a summary from the selected information. However, sentences gathered from multiple sources are not organized as a comprehensible text. There...
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This paper discusses an approach to extracting and viewing relationships between named entities from news articles. It covers the preprocessing, parsing, extraction, filtering, and visualization of this information, starting from online news articles and ending with a visual graph of concepts they contain.
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عنوان ژورنال:
مطالعات ملی کتابداری و سازماندهی اطلاعاتجلد ۶، شماره شماره ۳ و ۴، صفحات ۹۹-۱۰۶
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