Science models as value-added services for scholarly information systems

Science models as value-added services for scholarly information systems
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科学模型作为学术信息系统的增值服务

DOI:
10.1007/s11192-011-0430-x
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发表时间:
2011
期刊:
影响因子:
3.9
通讯作者:
Philipp
Philipp
中科院分区:
管理学3区
文献类型:
--
作者:
Mutschke;Philipp;Schaer;Philipp

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本文介绍了学术信息检索(IR)作为一个进一步的维度,应该考虑在科学建模的辩论。IR用例被视为科学模型在表示和预测科学中的结构和动态方面的充分性的验证模型。特定的概念化的学术活动和结构的科学被用来作为增值搜索服务,以提高检索质量:共词模型描绘的认知结构的一个领域(用于查询扩展),布拉德福德定律的信息浓度,和一个模型的合著网络(都用于重新排名搜索结果)。对使用科学模型驱动服务时的检索质量进行了评价,结果表明,所提出的模型实际上对检索质量产生了有益的影响。从IR的角度来看,研究的模型,因此验证了表达概念化的中心现象在科学中。因此,它可以表明,IR的角度可以显着有助于更好地了解学术结构和活动。
The paper introduces scholarly Information Retrieval (IR) as a further dimension that should be considered in the science modeling debate. The IR use case is seen as a validation model of the adequacy of science models in representing and predicting structure and dynamics in science. Particular conceptualizations of scholarly activity and structures in science are used as value-added search services to improve retrieval quality: a co-word model depicting the cognitive structure of a field (used for query expansion), the Bradford law of information concentration, and a model of co-authorship networks (both used for re-ranking search results). An evaluation of the retrieval quality when science model driven services are used turned out that the models proposed actually provide beneficial effects to retrieval quality. From an IR perspective, the models studied are therefore verified as expressive conceptualizations of central phenomena in science. Thus, it could be shown that the IR perspective can significantly contribute to a better understanding of scholarly structures and activities.
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