Relevance ranking of results from MARC-based catalogues: from guidelines to implementation exploiting structured metadata

Relevance ranking of results from MARC-based catalogues: from guidelines to implementation exploiting structured metadata
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基于 MARC 的目录结果的相关性排名:从指导方针到利用结构化元数据的实施

DOI:
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发表时间:
2007
期刊:
影响因子:
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通讯作者:
T. Boston
T. Boston
中科院分区:
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文献类型:
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作者:
A. Dellit;T. Boston

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摘要新的搜索技术和新的搜索行为的发展为图书馆展示馆藏开辟了新的机会。我们的用户更习惯于搜索大量的物品,并且能够相对容易地获得稀有和不寻常的物品。图书馆馆藏,如果通过集中搜索的联盟目录,如澳大利亚图书馆,可以看到在新的“长尾”环境中的使用显着增加。然而,为了利用这些机会,图书馆需要提供工具,使资源发现更容易在大型存储的记录-包括相关性排名和聚类的搜索结果。2006年期间,国家图书馆在澳大利亚图书馆利用这些技术方面取得了进展。一套规则的发展的书目记录的相关性排名的解释,并做了工作,以推进相关性排名和其他潜在的搜索技术的集群进行了探讨。
Abstract The development of new search technologies, and new search behaviours, has opened up new opportunities for libraries to expose their holdings. Our users are more used to searching large aggregations of items, and to being able to obtain rare and unusual items relatively easily. Library holdings, if exposed through centrally searchable union catalogues like Libraries Australia, could see a significant increase in usage in the new "long tail" environment. To take advantage of these opportunities, however, libraries need to provide tools to make resource discovery easier across large stores of records - including relevance ranking and clustering of search results. During 2006, the National Library has taken steps forward in harnessing these technologies for Libraries Australia. An explanation of the development of a set of rules for the relevance ranking of bibliographic records is given, and the work done to advance clustering of relevance ranking and other potential search technologies is explored.