The "web" has millions of websites or unique resource locations (URLs). A "subweb" is a subset of the web. Subweb link directories can be structured as a relational database. The usefulness and versatility of relational databases are well established. The sample database shown below has just five columns: discipline, sub-discipline, source, content, and website. This directory is amenable to relational analysis, e.g., sorting the links (websites) by one or more of the columns in any given order. Partial relational sortings of 1662 links are shown below for disciplines, sub-disciplines, sources, and type of content (click on any of the navigation links below to select a sorting):

Most web users go to the same subset of websites most of the time. Those can be bookmarked, but when a person or group works in some activity that requires frequent visits to one or more of a few hundred (or a few thousand) websites, then the bookmarks are often incomplete or obsolete, and most knowledge workers opt for searching, which is time-consuming. Since time is money, it becomes necessary to have a "baseline list" of all the websites that a person or group plan to visit frequently. This list of websites can be organized as a database (or directory) of links to websites, so that everyone is working off the same baseline of information content. Let's assume that an information research person or team need content in the following 16 disciplines (click on any of the navigation links below to select a discipline):

For a given task, the knowledge worker may need to view various combinations of rows and columns in order to isolate the few websites where the needed information content can be found. Clicking on the title (top header, white letters) of any table will trigger a return to the sorting navigation links. Clicking on the item number (first column) of any row will trigger a return to the discipline navigation links. Clicking on the website name (right-hand column) directs your browser to access the chosen website(s).