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高校图书馆的计算机应用已开始,有的省建立了高校图书馆文献信息网络系统。在我院图门馆自动化工作还未全面展开的情况下,进行图书资料的关键词编制工作,这将为微机用于图书馆自动化的可行性打下基础。关键词提取一般是从图书资料的主题分析开始,有的则直接从标题着手,采用抽词法,一般不借助主题词表,也不需要词汇控制,直接从图书资料的主题或标题中抽取,编制关键词比提炼主题词直观,便于掌握、运用。有的则在抽取关键词后还要根据主题词表进行转换,再按各学科换成中图法分类号。目前英美等国出版的图书有一半以上在其版权页上著有关键词或主题词,国内一些杂志如《图书情报工作》、《深圳大学学报》,在这些杂志上刊登的每篇文章也都由作者或编辑著上了关键词。如把法学著作、杂志、论文,法律条文,尤其是把15年来贵州省人大及其常委会制定批准的现行有效的89件地方性法规都著上了关键词,再综合篇名、作者名、门期、销藏代码、分类号、文章摘要等栏目,完成数据化工作,这些关键词和数据既
The computer application of university library has begun, and some provinces have established the university library document information network system. In our hospital automation of Tumen Museum has not yet been carried out in full swing, the preparation of key words in the book information, which will lay the foundation for the feasibility of microcomputer for library automation. Keyword extraction usually starts from the thematic analysis of the book materials, while others start directly from the title, using the method of decimation, generally without the help of the thesaurus and the vocabulary control, directly extracting from the subject or title of the book materials and preparing Keywords than the visual keywords refining, easy to grasp, use. Some are in the extraction of key words but also according to thesaurus conversion, and then replaced by each discipline in the classification method. At present, more than half of the books published by Britain, the United States and other countries have keywords or keywords in their copyright pages. Some domestic magazines such as “Library and Information Service” and “Shenzhen University Journal” also publish articles in these magazines By the author or editor of the keywords. For example, the author has put key words on the law books, magazines, theses and articles of law, especially the 89 local laws and regulations that have been approved by Guizhou Provincial People’s Congress and its standing committee over the past 15 years, Door period, sales code, classification number, abstracts and other sections to complete the work of data, these key words and data