Success and effectiveness in automated library systems are two related issues that all users are normally looking for when buying or designing a new system. On the basis of the available literature and opinions of automated library systems experts, 26 factors were identified as criteria for the success of automated library systems. Attitudes to these criteria of Australian university librarians and systems managers were examined in a survey conducted in 1993; 23 of these criteria were approved by the survey sample, and the other three were rejected. These criteria should be tested with other groups of experts in library automation to gain more generalisation on the findings.
Purpose -The aim of this paper is to examine the indexing quality and ranking of XML content objects containing Dublin Core and MARC 21 metadata elements in dynamic online information environments by general search engines such as Google and Yahoo! Design/methodology/approach -In total, 100 XML content objects were divided into two groups: those with DCXML elements and those with MARCXML elements. Both groups were published on the web site www.marcdcmi.ir in late July 2009 and were online until June 2010. The web site was introduced to Google and Yahoo! search engines. The indexing quality of metadata elements embedded in the content objects in a dynamic online information environment and their indexing and ranking capabilities were compared and examined. Findings -Google search engine was able to retrieve fully all the content objects through their Dublin Core and MARC 21 metadata elements; Yahoo! search engine, however, did not respond at all. Results of the study showed that all Dublin Core and MARC 21 metadata elements were indexed by Google search engine. No difference was observed between indexing quality and ranking of DCXML metadata elements with that of MARCXML. The results of the study revealed that neither the XML-based Dublin Core Metadata Initiative nor MARC 21 demonstrate any preference regarding access in dynamic online information environments through Google search engine. Practical implications -The findings can provide useful information for search engine designers. Originality/value -The present study was conducted for the first time in dynamic environments using XML-based metadata elements. It can provide grounds for further studies of this kind.
IntroductionIn line with recent developments in information and communication technology, we are witnessing an increasing growth and improvement in different dynamic online information databases. Such databases contain content objects and up-to-date scientific sources in different branches of knowledge. Therefore, librarians and information professionals have always recognized the significance of knowledge and information classification. As a result, numerous research programs have been conducted on the development of metadata initiatives and standards based on the needs of various domains. In other words, the need for the application of metadata
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