AUTOMATIC INDEXING IN CONTENT ON THE WEB: analysis of sites of museums

Abstract

At present several tools have been created for information retrieval in the Web environment as well as the availability of content. The characteristics of these tools influence in the model of indexing used and in the form that the affairs will be recovered. The information and communication technologies are increasingly used by cultural institutions such as museums, object of this study. Thus, some strategies will be identified and procedures that museums can adopt to make content available in the Web environment for later retrieval engine Google. From a survey of literature, this study explains the concepts of manual indexing, reaching approach to automatic indexing, presenting exploratory, whose design is set based on issues related to sources of information on the Internet, directories and search engines. After the theoretical review, we found that there was no proper concern to the contents structure following the criteria established by search engines like Google use to index pages. To reach this conclusion, we analyzed three key items in the constitution of a web page: the tag title and meta tags description and keywords. The results can enable the reshaping of home pages, so as to improve recovery, promoting the development the methods which the Google considers relevant in moment of indexing of pages, as well providing future studies based on recovery tools on the Web. Keywords: Information retrieval. Automatic indexing. Search engines. Google. Museums.