Feature evalution of a full‐text information‐retrieval system

Online Review ◽  
1977 ◽  
Vol 1 (1) ◽  
pp. 43-52 ◽  
Author(s):  
J.R. Rinewalt
Author(s):  
Qiaozhu Mei ◽  
Dragomir Radev

This chapter is a basic introduction to text information retrieval. Information Retrieval (IR) refers to the activities of obtaining information resources (usually in the form of textual documents) from a much larger collection, which are relevant to an information need of the user (usually expressed as a query). Practical instances of an IR system include digital libraries and Web search engines. This chapter presents the typical architecture of an IR system, an overview of the methods corresponding to the design and the implementation of each major component of an information retrieval system, a discussion of evaluation methods for an IR system, and finally a summary of recent developments and research trends in the field of information retrieval.


2013 ◽  
Vol 756-759 ◽  
pp. 2840-2845
Author(s):  
Ming Jie Guan ◽  
Xue Dong Tian ◽  
Fang Yang ◽  
Song Qiang Yang

It is quite inadequate in providing formula retrieval function by traditional retrieval techniques used in full-text information retrieval system. The main reason is that there are many difficulties to extract the keywords of the mathematical formulas. In this paper, a detailed analysis of the structural characteristics of mathematical formulas and existing index mechanism of mathematical formula searching engine is fulfilled. Then a full-text index (named SLIndex) of mathematical formulas with B+ tree structure is designed and implemented which extracts the structured logic sub-tree feature as keywords of formulas and employs inverted index. Finally, a formula search engine model based on SLIndex is implemented in Apache 2.0 web server.


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