Search (2 results, page 1 of 1)

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Abstract

Everyone loves images. The web wasn't anything until images came along, then it was an overnight success. So how does one find a specific image on the web? By using one of a burgeoning number of image-focused search engines. These search engines are simply optimized versions of typical web indexes, with crawlers that go around sucking down web content and indexing it. But with image search engines, they focus on images only, and the web page text that may describe them. As information professionals, we know that this is a clumsy approach at best, but as the author puts it, until more sophisticated methods become available, the tools profiled here will "have to suffice." Seven search engines are thoroughly tested in this review article, with Google's Image Search (http://www.google.com/imghp?hl=en) being the highest rated

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Abstract

The Chemistry Online Retrieval Experiment (CORE), a 5 year research and development project, was one of the earliest attempts to make a substantial volume of the text and graphics from previously published scholarly periodicals available to end users in electronic form, across a computer network. Since the CORE Project dealt with materials that had already gone through traditional print publication, its emphasis was on the process and limitations of conversion and the use of the converted contents for readers. Reports results of a survey of users of the CORE system, initially at Cornell University, Chemistry Department and later throughout the campus. User data was collected using: detailed transaction logs, online questionnaires, online comments, interviews, and anecdotes. Typically, usage was found to be top heavy, with the top 35% of users accounting for 80% of usage and the top 20% of users accounting for 64,8% of total system use. Presents further results of the study in terms of: article viewing, printing, reading habits, searching, conversion issues, and article consumption issues