Internet Searching and Indexing: The Subject Approach - Tapa blanda

Sinopsis

Prevent information overload with better indexing and retrieval strategies!In the fast-changing world of the Internet, the skills of the librarian are indispensable for managing the overwhelming amount of available data. Internet Searching and Indexing examines the tools and procedures available now and for the future that will help librarians, students, and patrons search the Internet more systematically, while helping information professionals design more efficient, effective search engines and Web pages. This comprehensive volume offers usable information for people at all levels of Internet savvy. Its clear explanations of the various ways search engines are structured will help new users take advantage of their attributes to design more effective retrieval strategies. It suggests practical ways for information professionals to use traditional library tools and concepts to make the Web more accessible. Moreover, it shows how the Web can be tapped as an immense resource to help librarians in the process of subject classification.Internet Searching and Indexing offers specific guidance on:

• how to classify various Web search tools and take advantage of their capabilities
• using signposts such as indexes, directories, and metadata to improve access to information on the Web
• the advantages of using facet analysis in Web page organizing, indexing, and searching
• the links between Internet subject trees and conventional bibliographic classification
• guidelines for interface design for developing Web-based OPACs
• applying Library of Congress subject headings to classifying Web subject access . . . and moreWith the vast amount of information that is added to the Web each day, finding data is becoming more time consuming and more complex. Internet Searching and Indexing will help you decrease the time you spend searching for the information you need and assist you in cataloging, classification, indexing, and creating quick and effective retrieval methods.

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