Search (3 results, page 1 of 1)

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Abstract

Libraries have a large stake in search protocols because library systems are diverse yet library users need to access multiple sites without learning the search syntax of each site. This paper reviews and compares the relative advantages of several of the newest search protocols and query languages: Search via URL (SRU), OpenSearch, Contextual Query Language (CQL), and XQuery. The models for SRU and OpenSearch operations are described in order to explain differences in functionality - keyword search and simple data record return for OpenSearch and richer search with multiple format data return for SRU. The advantages of CQL are described along with possible complementary uses of the highly detailed and complex XQuery being developed for XML.

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Abstract

This paper focuses on meaning as the core concern and challenge of interoperability in a multilingual context. Korean subject headings, presently translated from English, crystallize issues attached to the semantics of translation in at least two languages (Korean, with written Chinese, and English). Presenting a model microcosm, which explains grammatical and semantic characteristics, and allows a search for equivalence of headings that have the closest approximation of semantic ranges, the study concludes the necessary conditions for linking multilingual subject headings and suggests an interoperable model for the transfer of meaning of headings across languages and cultures.

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Content

As the team describe in a paper posted (http://arxiv.org/abs/1605.04951) on arXiv, they found that figures did indeed matter-but not all in the same way. An average paper in PubMed Central has about one diagram for every three pages and gets 1.67 citations. Papers with more diagrams per page and, to a lesser extent, plots per page tended to be more influential (on average, a paper accrued two more citations for every extra diagram per page, and one more for every extra plot per page). By contrast, including photographs and equations seemed to decrease the chances of a paper being cited by others. That agrees with a study from 2012, whose authors counted (by hand) the number of mathematical expressions in over 600 biology papers and found that each additional equation per page reduced the number of citations a paper received by 22%. This does not mean that researchers should rush to include more diagrams in their next paper. Dr Howe has not shown what is behind the effect, which may merely be one of correlation, rather than causation. It could, for example, be that papers with lots of diagrams tend to be those that illustrate new concepts, and thus start a whole new field of inquiry. Such papers will certainly be cited a lot. On the other hand, the presence of equations really might reduce citations. Biologists (as are most of those who write and read the papers in PubMed Central) are notoriously mathsaverse. If that is the case, looking in a physics archive would probably produce a different result.