Page and link classifications
Stephanie W. Haas, Erika S. Grams · 1998
As digital libraries of all kinds increase in size and scope, they contain more and more diverse information ob.jects.The value of any collection is drawn in part from an understanding of what is there and what relationships exist between items.We believe that classification systems for World Wide Web pages and links, and by extension for any diverse digital library, will be most effective if they are developed in tandem.Therefore, we propose integrated classification systems for Web pages and links which are based on a content analysis of 75 source pages, the almost 1,500 links they contained, and the target pages to which the links led.The consistency with which we were able to classify pages and links bodes well for the possibilities of automatic classification.The slightly lower level of consistency of the link classifications emphasizes the importance of considering context and user expectations in specifying anchors.We conclude by raising important questions about how best to design and link together diverse resources such as those found on the Web or in a digital library.