Legal research and information systems: The impact of information retrieval systems on provincial legal practice[1]

1993 ◽  
Vol 2 (3) ◽  
pp. 203-227
Author(s):  
Julian Webb
Keyword(s):  
Information Retrieval ◽  
Information Systems ◽  
Legal Practice ◽  
Legal Research ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
The Impact

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.

The Impact of Lossless Information on Algorithms

2014 ◽  
Vol 644-650 ◽  
pp. 1714-1716
Author(s):  
Xiao Peng Wang
Keyword(s):  
Information Retrieval ◽  
Fault Tolerance ◽  
Byzantine Fault Tolerance ◽  
Retrieval Systems ◽  
Byzantine Fault ◽  
Recent Advances ◽  
Information Retrieval Systems ◽  
Np Complete ◽  
The Impact ◽  
Pervasive Communication

Recent advances in semantic algorithms and pervasive communication are based entirely on the assumption that DHTs and hierarchical databases are not in conflict with write-back caches. Here, we argue the emulation of the partition table that would allow for further study into information retrieval systems. Our focus in this paper is not on whether the famous embedded algorithm for the study of e-business by Harris et al. is NP-complete, but rather on motivating an application for Byzantine fault tolerance (Mesophryon).

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.

The Impact of Ontology on the Performance of Information Retrieval

2010 ◽  
pp. 24-37
Author(s):  
Indrawan Maria ◽  
Loke Seng
Keyword(s):  
Information Technology ◽  
Information Retrieval ◽  
The Other ◽  
Ideal Solution ◽  
New Approach ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
The Right ◽  
The Impact ◽  
Semantic Problem

The debate on the effectiveness of ontology in solving semantic problems has increased recently in many domains of information technology. One side of the debate accepts the inclusion of ontology as a suitable solution. The other side of the debate argues that ontology is far from an ideal solution to the semantic problem. This article explores this debate in the area of information retrieval. Several past approaches were explored and a new approach was investigated to test the effectiveness of a generic ontology such as WordNet in improving the performance of information retrieval systems. The test and the analysis of the experiments suggest that WordNet is far from the ideal solution in solving semantic problems in the information retrieval. However, several observations have been made and reported in this article that allow research in ontology for the information retrieval to move towards the right direction.

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.

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