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Abstrak :
The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Readers will find that the second edition includes significant changes that bring the text up to date on current information retrieval methods. For example, the authors have added a completely new chapter on link-structure algorithms used in search engines such as Google, and the chapter on user interface has been rewritten to specifically focus on search engine usability. To reflect updates in the literature on information retrieval, the authors have added new recommendations for further reading and expanded the bibliography. In addition, the index has been updated and streamlined to make it more reader friendly.

Abstrak :
Penelitian ini bertujuan untuk mengetahui kinerja sistem temu kembali enam search engines dalam menelusur informasi mengenai Filsafat Islam di Web. Kinerja akan diukur dengan mengetahui tingkat keterhubungan antara informasi mengenai Filsafat Islam di web yang tertemu-kembali dengan query yang dimasukkan. Penelitian ini juga ditujukan untuk mengetahui kombinasi dua search engines yang paling baik untuk menelusur informasi Filsafat Islam di web. Penelitian dilakukan dengan menggunakan enam search engines utama, yaitu AltaVista, Excite, Fast, Google, HotBot, dan NorthernLight. Pertanyaan (query) yang diajukan berasal dari Library of Congress Subject Heading yang mewakili Filsafat Islam, yaitu "Philosophy, Islamic", "Arabic Philosophy", "Cosmology, Islamic", Islamic Ethics", dan "Muslim Philosophy". Penelusuran dilakukan oleh peneliti selaku perantara (intermediary). Pengujian tingkat keterhubungan (relatedness) dilakukan oleh mahasiswa Program Studi Falsafah dan Kebudayaan Universitas Paramadina. Hasil penelitian menunjukkan bahwa sistem temu-kembali informasi Excite memiliki ketepatan paling tinggi. Pasangan dua search engines yang paling efektif untuk menemukan informasi mengenai Filsafat Islam adalah AltaVista dan Excite.

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Search Engines Systems Performance In Retrieving Information About Islamic Philosophy From The WebThe objectives of this research are to determine the information retrieval system effectiveness of six major search engines that applied to Islamic Philosophy documents collection in the World Wide Web. Performance will be measure by trying to determine to what extent the documents retrieved are related to the query applied by the search intermediary. This research will also determine the precision of the documents retrieved, and which two-search engines combination are the best to do the searching. This investigation is using six major search engines, i.e. AltaVista, Excite, Fast, Google, HotBot, and Northern Light. The queries that represent the Islamic Philosophy are taken from the Library of Congress Subject Heading. They are: "Philosophy, Islamic", "Arabic Philosophy", "Cosmology, Islamic", "Islamic Ethics", and "Muslim Philosophy". The searching in the internee: is done by the researcher as an intermediary. Then the student of Philosophy and Religions Program determine the subject related judgment of document retrieved from each search engines. The results show that from the first ten retrieved documents, Excites' information retrieval system is the highest in precision. The most effective search engines combination are between AltaVista and Excite.

Abstrak :
Keeping up with the ever-growing Web, along with professional resources and information for customers, can be an overwhelming challenge for busy librarians. Combine that with the fact that up to 60 percent of web data is "invisible" to search engines, and suddenly staying current seems like a losing battle, without enough hours in the day. What if you could keep current in one hour per day or less? What if you didn't have to surf? What if the information you selected proactively arrived in your inbox? What if you had effective sorting and saving tools to capture your preferred portion of this flood of data? Illustrating ways to overcome the daunting deluge of information, author and librarian Steven Cohen shows you how to use all the new cool tools. An early adapter and passionate proponent of cutting-edge technology to access and organize information, Cohen is the librarian's very own web guy search engine.

Abstrak :
Academic search e ngines, intends to run through the current panorama of the academic search engines through a quantitative approach that analyses the reliability and consistence of these services. The objective is to describe the main characteristics of these engines, to highlight their advantages and drawbacks, and to discuss the implications of these new products in the future of scientific communication and their impact on the research measurement and evaluation. In short, Academic search engines presents a summary view of the new challenges that the Web set to the scientific activity through the most novel and innovative searching services available on the web.