Scaling Up High-Value Retrieval to Medium-Volume Data

被引：0

作者：

Cunningham, Hamish ^{[1
]}

Hanbury, Allan ^{[2
]}

Rueger, Stefan ^{[3
]}

机构：

[1] Univ Sheffield, Dept Comp Sci, Regent Court,211 Portobello St, Sheffield S1 4DP, S Yorkshire, England

[2] Informat Retrieval Facil, A-1040 Vienna, Austria

[3] Open Univ, Knowledge Media Inst, Milton Keynes MK7 6AA, Bucks, England

来源：

ADVANCES IN MULTIDISCIPLINARY RETRIEVAL | 2010年 / 6107卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We summarise the scientific work presented at the first Information Retrieval Facility Conference [3] and argue that high-value retrieval with medium-volume data, exemplified by patent search: is a thriving topic in a multidisciplinary area that sits between Information Retrieval, Natural Language Processing and Semantic Web Technologies. We analyse the parameters that, condition choices of retrieval technology for different sizes and values of document, space, and we present, the patent document space and some of its characteristics for retrieval work.

引用

页码：1 / +

页数：3