信息管理作业:Elsevier检索系统评估报告
An evaluation report of Elsevier search system
如今,没有信息检索(IR)系统的支持,学术搜索是像是在草堆里找一粒米,大量的信息需要在学术领域得到满足。一般而言,用户更倾向于谷歌而不是其他专业网站和数据库。然而,信息检索的作用使得它更容易满足信息的需求,因此我们不应该忽视专业数据库的学术搜索领域。我们知道,Elsevier是世界领先的网站,也是一个大的数据库,不仅发表文章,期刊,书籍和医学科学文献,还提供数字信息服务为客户解决在科学与健康领域。在本报告中,Elsevier作为信息检索的一个例子。
1. Elsevier检索系统
Nowadays, without information retrieval(IR) system support, academic searching is like to find a rice grain in haystack. Just like the interpretation of Manning et al (2009), IR is as a process of unstructured materials found from a large collection in order to satisfy the information needsin academic field. In general, users prefer Google rather than other professional website and database. However, the role of IR makes it more easily to meet the information needs so that we should not ignore the professional database in the academic search field. As we know, Elsevier is a world-leading website and is also a big database, which not only publishes the articles, journals, books and scientific literatures of medical, but also provides the digital information solution service for customers in
Science and health field. In the present report, Elsevier will be chosen as an example of IR analysis.
2. Method 方法
In this section, two different types of searching tasks will be occupied. In the first task of known item search, which means we would like to search a particular item we know, but have no idea the location. In practice, we adopt a specific journal named “Materials Science and
Engineering: A” as an example to evaluate Elsevier IR system. We tried to enter the correct as well as the misspelled items into the search process to test whether the correct spelling reminders and recommendations are suggested in the result. The search can be performed by using the items like “matarials” or “materials scence” as the key word for testing. In the second task of search for introductory materials, we would to find the relevant document of “definition of nanomaterials” through “find a article” section to search, in order to evaluate Elsevier IR system.In addition, another purpose of this research is to get professional introductionquickly using the refining tools, such as “titles”, “author name” and “journal or book titles” to quickly searched the relevant materials in the database.
3. Result 结果
Firstly, when the target item was input correctly, the exact target will be presented together with some relevant names of journals, books and webpages. In contrast, the test of spelling correction and suggestion function when facing simple typing error like “ materials scence” was also conducted. The Elsevier presents that “ No results were found in journals or books” on the left part of the screen. Obviously, the correction of misspell function is not that advanced in Elsevier. However, some webpages with the keyword “materials” were presented on the right. Then you can infer that nothing could be found even on the right side if multiple errors item “ matarials sicence” were input. Moreover, no reminder on the possible misspell was shown on the website.
In contrast, the Elsevier system would present three lists on journals, books and webpages based on the relevant degree to the searching query when the correct item “materials science” was input. Howev
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