Fuzzy information systems: managing uncertainty in databases and information retrieval systems

1997 ◽  
Vol 90 (2) ◽  
pp. 183-191 ◽  
Author(s):  
Donald H. Kraft ◽  
Frederick E. Petry
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Fuzzy Information ◽  
Retrieval Systems ◽  
Information Retrieval Systems

Relevant Intra-Actions in Networked Environments

2011 ◽  
pp. 230-251 ◽  
Author(s):  
Theresa Dirndorfer Anderson
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Conceptual Framework ◽  
Case Studies ◽  
Theoretical Framework ◽  
Design Development ◽  
Retrieval Systems ◽  
Relevance Judgments ◽  
Information Retrieval Systems ◽  
Collaborative Information Retrieval

This chapter uses a study of human assessments of relevance to demonstrate how individual relevance judgments and retrieval practices embody collaborative elements that contribute to the overall progress of that person’s individual work. After discussing key themes of the conceptual framework, the chapter will discuss two case studies that serve as powerful illustrations of these themes for researchers and practitioners alike. These case studies, outcomes of a two-year ethnographic exploration of research practices, illustrate the theoretical position presented in part one of the chapter, providing lessons for the ways that people work with information systems to generate knowledge and the conditions that will support these practices. The chapter shows that collaboration does not have to be explicit to influence searcher behavior. It seeks to present both a theoretical framework and case studies that can be applied to the design, development and evaluation of collaborative information retrieval systems.

Evaluating the effectiveness of thesauri in digital information retrieval systems

2018 ◽  
Vol 36 (1) ◽  
pp. 55-70 ◽  
Author(s):  
Sanjeev K. Sunny ◽  
Mallikarjun Angadi
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Data Collection ◽  
Literature Review ◽  
Evaluation Studies ◽  
Digital Information ◽  
Content Type ◽  
Evaluation Measures ◽  
Retrieval Systems ◽  
Information Retrieval Systems

Purpose The purpose of this study is to carry out a systematic literature review for evidence-based assessment of the effectiveness of thesaurus in digital information retrieval systems. It also aimed to identify the evaluation methods, evaluation measures and data collection tools which may be used in evaluating digital information retrieval systems. Design/methodology/approach A systematic literature review (SLR) of 344 publications from LISA and 238 from Scopus has been carried out to identify the evaluation studies for analysis, and 15 evaluation studies have been analyzed. Findings This study presents evidences for the effectiveness of thesaurus in digital information retrieval systems. Various methods for evaluating digital information systems have been identified. Also, a wide range of evaluation measures and data collection tools have been identified. Research limitations/implications The study was limited to the literature published in English language and indexed in LISA and Scopus. The evaluation methods, evaluation measures and data collection tools identified in this study may be used to design more cognizant evaluation studies for digital information retrieval systems. Practical implications The findings have significant implications for the administrators of any type of digital information retrieval systems in making more informed decisions toward implementation of thesaurus in resource description and access to digital collections. Originality/value This study extends our knowledge on the potentials of thesauri in digital information retrieval systems. It also provides cues for designing more cognizant evaluation studies for digital information systems.

scholarly journals Information Retrieval Systems: A Perspective on Human Computer Interaction

10.28945/3006 ◽  
2006 ◽  
Author(s):  
Panagiotis Petratos
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Human Computer Interaction ◽  
Memory Management ◽  
Systems Design ◽  
Human Element ◽  
Retrieval Systems ◽  
New Information ◽  
Information Retrieval Systems ◽  
Computer Interaction

Traditional information systems design and development methodologies tend to overly focus on the technical details of the system such as memory management, system internals, algorithms and modules. It is not unusual for system designers and developers to often completely omit from the thought process the human element. This article offers a new information systems perspective particularly for information retrieval systems with a focus on human computer interaction.

Building Proximity Models for Cross Language Information Retrieval

2015 ◽  
Vol 1 ◽  
pp. 8
Author(s):  
Lam Tung Giang ◽  
Vo Trung Hung ◽  
Huynh Cong Phap
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Bag Of Words ◽  
Retrieval Performance ◽  
Average Precision ◽  
Ranking Models ◽  
Retrieval Systems ◽  
Cross Language Information Retrieval ◽  
Information Retrieval Systems ◽  
Cross Language

In information retrieval systems, the proximity of query terms has been employed to enable ranking models to go beyond the ”bag of words” assumption and it can promote scores of documents where the matched query terms are close to each other. In this article, we study the integration of proximity models into cross-language information retrieval systems. The new proximity models are proposed and incorporated into existing cross-language information systems by combining the proximity score and the original score to re-rank retrieved documents. The experiment results show that the proposed models can help to improve the retrieval performance by 4%-7%, in terms of Mean Average Precision.

scholarly journals Comparative Analysis of Information Retrieval using Ontology Based vs Traditional Information Systems in Food Science Domain

2020 ◽  
Vol 40 (02) ◽  
pp. 437-444
Author(s):  
Padmavathi T
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Retrieval System ◽  
Food Science ◽  
Web Pages ◽  
Average Precision ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Science Domain ◽  
Server Application

The current methods of searching and information retrieval are imprecise, often yielding results in tens of thousands of web pages. Extraction of the actual information needed often requires extensive manual browsing of retrieved documents. In order to address these drawbacks, this paper introduces an implementation in the field of food science of the ontology-based information retrieval system, and comparison is made with conventional information systems. The ontology of Food Semantic Web Knowledge Base (FSWKB) was built using the Protégé framework which supports two main models of ontology through the editors Protégé-Frames and Protégé-OWL. The FSWKB is composed of two heterogeneous ontologies, and these are merged and processed on a separate server application making use of the Apache Jena Fuseki an SPARQL server offering SPARQL endpoint. The experimental results indicated that ontology-based information systems are more effective in terms of their retrieval capability compared to the more conventional information retrieval systems. The retrieval effectiveness was measured in terms of precision and recall. The results of the work showed that traditional search results in average precision and recall levels of 0.92 and 0.18. The ontology-based test for precision and recall has average rates of 0.96 and 0.97.

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