Text Information Retrieval Systems. Charles T. Meadow

1993 ◽  
Vol 63 (1) ◽  
pp. 106-108 ◽  
Author(s):  
Howard D. White
Keyword(s):  
Information Retrieval ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Text Information ◽  
Text Information Retrieval

Implementing the basic functions of free text information retrieval using binary relationships

1983 ◽  
Vol 6 (5) ◽  
pp. 165-172 ◽  
Author(s):  
F.N. Teskey
Keyword(s):  
Information Retrieval ◽  
User Interface ◽  
Ad Hoc ◽  
General Information ◽  
Free Text ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Relationship Model ◽  
Text Information ◽  
Text Information Retrieval

In this paper the existing functions of, and a number of future requirements for, information retrieval systems are dis cussed. Two basic requirements for free text information retri eval systems have been identified; one for a more general information modelling language and the other for a simple user interface for complex ad-hoc queries. The paper describes some existing and proposed hardware and software methods for implementing free text information retrieval systems. Emphasis is placed on methods of improving the functionality of the system rather than on methods of increasing the performance. It is suggested that considerable improvements can be achieved by a more imaginative use of existing hardware, though it is realised that special purpose architectures will play an increas ingly important role in information systems. The paper con cludes with a design for a new information retrieval system based on the use of the Binary Relationship Model for infor mation storage and retrieval, and an interactive graphical dis play for the user interface.

Kansei Database and AR*-Tree for Speeding up the Retrieval

2010 ◽  
pp. 111-125 ◽  
Author(s):  
Yaokai Feng
Keyword(s):  
Information Retrieval ◽  
Key Words ◽  
Multimedia Retrieval ◽  
Index Structure ◽  
Multidimensional Indexing ◽  
General Flow ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Speed Up ◽  
Text Information

Along with Kansei information being successfully introduced to information retrieval systems, particularly multimedia retrieval systems, many Kansei retrieval systems have been implemented in the past two decades. And, it has become clear that the traditional multimedia retrieval systems using key-words or/and other text information are not enough in many applications, because that they can not deal with sensitive words reflecting user’s subjectivity. In this chapter, Kansei retrieval systems efficiently taking user’s subjectivity into account will be discussed in detail. Like many traditional retrieval systems, Kansei retrieval systems are also based on databases system, which are called Kansei databases. After roughly introducing some existing Kansei retrieval systems is a general flow for designing Kansei retrieval systems. Also, we will discuss how to speed up the Kansei retrieval systems by using multidimensional indexing technologies and you will learn that our proposed multidimensional index structure, Adaptive R*-tree (AR*-tree for short), is more suitable to Kansei retrieval systems than the traditional multidimensional indexing technologies.

Relevance Predictability in Information Retrieval Systems

1967 ◽  
Vol 06 (02) ◽  
pp. 45-51 ◽  
Author(s):  
A. Kent ◽  
J. Belzer ◽  
M. Kuhfeerst ◽  
E. D. Dym ◽  
D. L. Shirey ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Experimental Conditions ◽  
Treatment Groups ◽  
Retrieval Systems ◽  
Significant Difference ◽  
Information Retrieval Systems ◽  
High Predictability ◽  
Intermediate Response ◽  
Quantitative Indicators ◽  
Level Of Processing

An experiment is described which attempts to derive quantitative indicators regarding the potential relevance predictability of the intermediate stimuli used to represent documents in information retrieval systems. In effect, since the decision to peruse an entire document is often predicated upon the examination of one »level of processing« of the document (e.g., the citation and/or abstract), it became interesting to analyze the properties of what constitutes »relevance«. However, prior to such an analysis, an even more elementary step had to be made, namely, to determine what portions of a document should be examined.An evaluation of the ability of intermediate response products (IRPs), functioning as cues to the information content of full documents, to predict the relevance determination that would be subsequently made on these documents by motivated users of information retrieval systems, was made under controlled experimental conditions. The hypothesis that there might be other intermediate response products (selected extracts from the document, i.e., first paragraph, last paragraph, and the combination of first and last paragraph), that would be as representative of the full document as the traditional IRPs (citation and abstract) was tested systematically. The results showed that:1. there is no significant difference among the several IRP treatment groups on the number of cue evaluations of relevancy which match the subsequent user relevancy decision on the document;2. first and last paragraph combinations have consistently predicted relevancy to a higher degree than the other IRPs;3. abstracts were undistinguished as predictors; and4. the apparent high predictability rating for citations was not substantive.Some of these results are quite different than would be expected from previous work with unmotivated subjects.

Performance of eight information retrieval systems in the Spanish web

2005 ◽  
Vol 14 (5) ◽  
pp. 335-346
Author(s):  
Por Carlos Benito Amat ◽  
Por Carlos Benito Amat
Keyword(s):  
Information Retrieval ◽  
Retrieval Systems ◽  
Information Retrieval Systems

A Dialectical Approach to Search Engine Evaluation

Libri ◽  
2020 ◽  
Vol 70 (3) ◽  
pp. 227-237
Author(s):  
Mahdi Zeynali-Tazehkandi ◽  
Mohsen Nowkarizi
Keyword(s):  
Information Retrieval ◽  
Information Science ◽  
Library And Information Science ◽  
Related Literature ◽  
Philosophical Foundations ◽  
Dialectical Approach ◽  
Retrieval Systems ◽  
The World ◽  
Information Retrieval Systems ◽  
Oriented Approach

AbstractEvaluation of information retrieval systems is a fundamental topic in Library and Information Science. The aim of this paper is to connect the system-oriented and the user-oriented approaches to relevant philosophical schools. By reviewing the related literature, it was found that the evaluation of information retrieval systems is successful if it benefits from both system-oriented and user-oriented approaches (composite). The system-oriented approach is rooted in Parmenides’ philosophy of stability (immovable) which Plato accepts and attributes to the world of forms; the user-oriented approach is rooted in Heraclitus’ flux philosophy (motion) which Plato defers and attributes to the tangible world. Thus, using Plato’s theory is a comprehensive approach for recognizing the concept of relevance. The theoretical and philosophical foundations determine the type of research methods and techniques. Therefore, Plato’s dialectical method is an appropriate composite method for evaluating information retrieval systems.

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