If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -To measure the exact size of the world wide web (i.e. a census). The measure used is the number of publicly accessible web servers on port 80. Design/methodology/approach -Every IP address on the internet is queried for the presence of a web server. Findings -The census found 18,560,257 web servers. Research limitations/implications -Any web servers hidden behind a firewall, or that did not respond within a reasonable amount of time (20 seconds) were not counted by the census. Practical implications -Whenever a server is found, we download and store a copy of its homepage. The resulting database of homepages is a historical snapshot of the web which will be mined for information in the future. Originality/value -Past web surveys performed by various research groups were only estimates of the size of the web. This is the first time its size has been exactly measured. IntroductionExactly how big is the web? Before this question can be answered, we must decide on a measurement. Possible measurements in decreasing order are:

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We define the interval representation problem as the problem of representing the relationships which exist between the truth of an assertion over an interval and the truth of an assertion (either the same or a different one) over its internal points and/or subintervals. For example, "ran a mile without stopping" is true over an interval if and only if "running" is true at each point in the interval and the distance travelled due to "running" equals a mile. There is a relationship between "ran a mile without stopping" over an interval and "running" at the interval's interior points. The interval representation problem is a fundamental problem that must be addressed by first-order temporal logics. In this article, we look at previous attempts to solve the problem and conclude that it remains an open problem. We present a first-order temporal logic called GCH and discuss its approach to the interval representation problem. GCH uses a different approach for representing information associated with an interval. We do not directly associate these assertions with intervals. The representation of these assertions is based on the assumption that what is true at every point in an interval completely determines what is true over the interval. We use the Riemann integral to represent interval-based information.