Recent developments in data base and information retrieval hardware architectures

The controlled vocabulary versus the free text approach to information retrieval is reviewed from the mid 1960s to the early 1980s. The dominance of the free text approach following the Cranfield tests is increasingly coming into question as a result of tests on existing online data bases and case studies. This is supported by two case studies on the Coffeeline data base. The differences and values of the two approaches are explored considering thesauri as semantic maps. It is suggested that the most appropriate evaluatory technique for indexing languages is to study the actual use made of various techniques in a wide variety of search environments. Such research is becoming more urgent. Economic and other reasons for the scarcity of online thesauri are reviewed and suggestions are made for methods to secure revenue from thesaurus display facilities. Finally, the promising outlook for renewed develop ment of controlled vocabularies with more effective online display techniques is mentioned, although such development must be based on firm research of user behaviour and needs.

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Information Retrieval

The Oxford Handbook of Computational Linguistics 2nd edition ◽

10.1093/oxfordhb/9780199573691.013.022 ◽

2016 ◽

Author(s):

Qiaozhu Mei ◽

Dragomir Radev

Keyword(s):

Information Retrieval ◽

Digital Libraries ◽

Web Search ◽

Retrieval System ◽

Information Retrieval System ◽

Information Need ◽

System A ◽

Recent Developments ◽

Text Information ◽

Text Information Retrieval

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.

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The Influence of Hypertext Linking Structures on the Efficiency of Information Retrieval

Human Factors The Journal of the Human Factors and Ergonomics Society ◽

10.1177/001872089203400308 ◽

1992 ◽

Vol 34 (3) ◽

pp. 351-367 ◽

Cited By ~ 70

Author(s):

Michael F. Mohageg

Keyword(s):

Information Retrieval ◽

Data Base ◽

Task Type ◽

Performance Gain ◽

Hierarchical Network ◽

Novice Users ◽

Task Variables ◽

Information Domain ◽

Better Than ◽

And Task

Hypertext systems parse documents into components connected by machine-supported links. This study investigated several usability issues relating to linking configurations in an information retrieval application. A HyperCardTM-based geography data base was used as the information domain. Linear, hierarchical, network, and combination hierarchical/network linking were of particular interest. In addition, the number of required links (two, four, or six links to reach the answer) and task type were the task variables studied. Task type refers to expert programmers' judgments as to whether a task is best suited to a hierarchical or network linking configuration. The intention was to identify the task situations under which each linking structure excels. Results indicated that users of the hierarchical linking structure performed significantly better than those using network linking (on average requiring 49 s less per task). Subjects using the combination condition performed no worse than those using the hierarchical condition, yet the combination condition provided no consistent advantages. Hence, for novice users of a system, no performance gain results from the inclusion of network links (in isolation or in combination with hierarchical).

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The Application of Information Science Technology to Music Education Materials

Journal of Research in Music Education ◽

10.2307/3344762 ◽

1974 ◽

Vol 22 (4) ◽

pp. 251-257

Author(s):

William S. Lane

Keyword(s):

Information Retrieval ◽

Music Education ◽

Data Base ◽

Information Science ◽

Retrieval System ◽

Subject Area ◽

Information Retrieval System ◽

Computer Assisted ◽

File Formats ◽

Different Types

Techniques and procedures were developed for cataloging, indexing, and storing information concerning diverse music education materials in a computer-assisted information retrieval system. Indexing procedures and bibliographic file formats were developed, and a data base of 830 documents was created. One subject area was indexed for content and a thesaurus of descriptors developed for it. The subfile so indexed consisted of 107 documents. Searches were made of the data base, with completely accurate results demonstrating that many different types of music education materials can be efficiently manipulated in a computer-assisted information retrieval system.

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