Review of Indexing Techniques Applied in Information Retrieval

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Najmus Saher Shah
Keyword(s):  
Information Retrieval ◽  
Locality Sensitive Hashing ◽  
Web Databases ◽  
Automatic Indexing ◽  
Indexing Techniques ◽  
Computer Aided ◽  
Finger Printing ◽  
Manual Indexing

<span>Indexing is one of the important tasks of Information Retrieval<span> that can be applied to any form of data, generated from the<span> web, databases, etc. As the size of corpora increases, indexing<span> becomes too time consuming and labor intensive, therefore,<span> the introduction of computer aided indexer. A review of indexing<span> techniques, both human and automatic indexing has been done<span> in this paper. This paper gives an outline of the use of automatic<span> indexing by discussing various hashing techniques including<span> fuzzy finger printing and locality-sensitive hashing. Two different<span> processes of matching that are used in automatic subject<span> indexing are also reviewed. Accepting the need of automatic<span> indexing in a possible replacement to manual indexing, studies<span> in the development of automatic indexing tools must continue<br /><br class="Apple-interchange-newline" /></span></span></span></span></span></span></span></span></span></span></span></span></span>

Multiple Terminologies in a Health Portal: Automatic Indexing and Information Retrieval

2009 ◽  
pp. 255-259 ◽  
Author(s):  
Stéfan J. Darmoni ◽  
Suzanne Pereira ◽  
Saoussen Sakji ◽  
Tayeb Merabti ◽  
Élise Prieur ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Automatic Indexing

Technologies for Information Access and Knowledge Management

2011 ◽  
pp. 3680-3685
Author(s):  
Thomas Mandl
Keyword(s):  
Information Retrieval ◽  
Search Engines ◽  
Information Access ◽  
Partial Match ◽  
Retrieval Models ◽  
Automatic Indexing ◽  
Patent Retrieval ◽  
Information Retrieval Systems ◽  
Information Work ◽  
The 1960S

In the 1960s, automatic indexing methods for texts were developed. They had already implemented the “bag-ofwords” approach, which still prevails. Although automatic indexing is widely used today, many information providers and even Internet services still rely on human information work. In the 1970s, research shifted its interest to partial-match retrieval models and proved their superiority over Boolean retrieval models. Vector-space and later probabilistic retrieval models were developed. However, it took until the 1990s for partial-match models to succeed in the market. The Internet played a great role in this success. All Web search engines were based on partial-match models and provided ranked lists as results rather than unordered sets of documents. Consumers got used to this kind of search systems, and all big search engines included partial-match functionality. However, there are many niches in which Boolean methods still dominate, for example, patent retrieval. The basis for information retrieval systems may be pictures, graphics, videos, music objects, structured documents, or combinations thereof. This article is mainly concerned with information retrieval for text documents.

The image library

1978 ◽  
Vol 3 (4) ◽  
pp. 25-32 ◽  
Author(s):  
Helene E. Roberts
Keyword(s):  
Information Retrieval ◽  
International Level ◽  
Historical Approach ◽  
Traditional Art ◽  
Indexing Techniques ◽  
Image Library ◽  
Modern Image

The modern image library, with its large collections in a multiplicity of formats, requires sophisticated systems of classification, indexing and information retrieval. Alongside the traditional art historical approach to the reproductions it contains, iconographic indexes are being developed which treat art as a language and analyse signs, symbols and meanings. Given the increase in iconographic and iconological research there is a need for the co-ordination and standardisation of indexing techniques at an international level.

Construction and Expression of Database for Computer-Aided Welding Fixture Design (CAWFD) Systems

2011 ◽  
Vol 323 ◽  
pp. 141-145
Author(s):  
Yi Zhang ◽  
Ya Qin Zhou
Keyword(s):  
Information Retrieval ◽  
Fixture Design ◽  
Welding Deformation ◽  
Computer Aided ◽  
Assembly Precision

Welding fixture can ensure welding dimension, improve assembly precision and efficiency. It can prevent the welding deformation. The function of welding fixture was introduced in this paper. The Classification of welding fixture component was described. Information tree and the database tables to save the unit information are designed. The unit information retrieval menu and interface based on UG, Visual C++ and database is realized.

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