scholarly journals Searching business information in digital information systems of Russian libraries

2021 ◽  
pp. 63-80
Author(s):  
A. V. Kulikova
Keyword(s):  
Information Retrieval ◽  
Information Search ◽  
Digital Information ◽  
System Optimum ◽  
Query Formulation ◽  
Retrieval Systems ◽  
Business Information ◽  
Key Characteristics ◽  
Information Retrieval Systems ◽  
Bibliographic Search

The author continues with her study initially presented in the article “The possibilities of information search in electronic platforms of Russian libraries” (A. V. Kulikova. The possibilities of information search in electronic platforms of russian libraries // The Journal of Encyclopaedic Studies. – 2019. – No 2. – P. 30–52). She demonstrates the methods to be applied for business information search related to local encyclopaedic book publications and identifies the principles to find recent publications promptly and to satisfy user demands most effectively. The bibliographic search success depends upon how the user understands the system. Optimum query formulation saves time and excludes information noise. The key characteristics of library digital information retrieval systems are discussed. The computer systems of 113 regional libraries were analyzed within the study. The following automated library information were tested objectively: IRBIS, RUSLAN, OPAC-Global, Foliant, MacWeb. The author does not intend to advertise or subvertise any ALIS. Her main goal is to reveal the convenient and speedy retrieval methods with existing functionalities.

scholarly journals A Semantic Framework for Evaluating Topical Search Methods

2011 ◽  
Vol 14 (1) ◽  
Author(s):  
Rocío L. Cecchini ◽  
Carlos M. Lorenzetti ◽  
Ana G. Maguitman ◽  
Filippo Menczer
Keyword(s):  
Information Retrieval ◽  
Semantic Similarity ◽  
Evaluation Framework ◽  
Evaluation Metrics ◽  
Digital Information ◽  
Actual Performance ◽  
Semantic Framework ◽  
Similarity Data ◽  
Retrieval Systems ◽  
Information Retrieval Systems

The absence of reliable and efficient techniques to evaluate information retrieval systems has become a bottleneck in the development of novel retrieval methods. In traditional approaches users or hired evaluators provide manual assessments of relevance. However these approaches are neither efficient nor reliable since they do not scale with the complexity and heterogeneity of available digital information. Automatic approaches, on the other hand, could be efficient but disregard semantic data, which is usually important to assess the actual performance of the evaluated methods. This article proposes to use topic ontologies and semantic similarity data derived from these ontologies to implement an automatic semantic evaluation framework for information retrieval systems. The use of semantic simi- larity data allows to capture the notion of partial relevance, generalizing traditional evaluation metrics, and giving rise to novel performance measures such as semantic precision and semantic harmonic mean. The validity of the approach is supported by user studies and the application of the proposed framework is illustrated with the evaluation of topical retrieval systems. The evaluated systems include a baseline, a supervised version of the Bo1 query refinement method and two multi-objective evolutionary algorithms for context-based retrieval. Finally, we discuss the advantages of ap- plying evaluation metrics that account for semantic similarity data and partial relevance over existing metrics based on the notion of total relevance.

Towards a Computer-Based Information Retrieval Systems Process

2013 ◽  
Vol 411-414 ◽  
pp. 82-85
Author(s):  
Anthony Subasic ◽  
Estelle Perrin ◽  
Frederic Danesi
Keyword(s):  
Information Retrieval ◽  
Information Search ◽  
Point Of View ◽  
Human Interaction ◽  
Human Interface ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
Computer Based ◽  
Definition Of ◽  
Interaction Approach

This paper presents the first definition of a methodology to analyze, design and evaluate information retrieval systems. We do not address the search engines themselves, but we discuss the computer human interaction implied. We show the need to introduce the user point-of-view in each interaction, and demonstrate the usage of trade oriented knowledge. We argue that, despite the inherent quality of the search engine, the human interface should be considered as the critical part of any system. Information Search Processes must evolve to include a computer-human interaction approach.

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 CONCEPT OF INFORMATION-SEARCH SYSTEM (ON THE BASIS OF ONTOLOGIES) FOR THE DOMAIN OF SOFTWARE QUALITY

2020 ◽  
Vol 1 (1) ◽  
pp. 7-12
Author(s):  
T. HOVORUSHCHENKO ◽  
◽  
Y. MARTYNYUK ◽  
Keyword(s):  
Information Retrieval ◽  
Software Quality ◽  
Information Search ◽  
Retrieval System ◽  
Subject Area ◽  
Information Retrieval System ◽  
Retrieval Systems ◽  
Information Retrieval Systems ◽  
The Subject ◽  
Concept Of Information

The search for information is one of the main components of human activity. The ideal information retrieval system should issue only documents that are relevant to the request. Today, real information retrieval systems provide a completeness factor of 70%, and a search accuracy factor – at a level sometimes even 10%. Thus, the well-known information retrieval systems are currently unable to meet the modern needs of users. The global trend in the processing of large arrays of information, which allows you to solve new classes of problems based on available information resources, is the intellectualization of information and data processing. As a standard of knowledge engineering in the development of information retrieval systems, it is worthwhile to use ontologies that are widely used in the work of search engines and information retrieval systems, as ontologies are an effective tool for organizing a semantic search. The use of ontologies as part of information retrieval systems helps to solve a number of methodological and technological problems that arise during the development of such systems. Given the fact that software is the basis of all modern areas of business, and achieving high values of its quality is a key factor in ensuring the effective use of software and one of the main requirements of users and stakeholders for modern software, the purpose of this study is to develop an effective information retrieval system (based on ontologies) for the software quality industry. The paper proposes the concept of information retrieval system (based on ontologies) for the field of software quality, in particular, the ontology of the subject area of software quality is developed, which reflects the semantic relationships between the concepts of the subject area and will form the basis of a search of information about software quality, in particular, the basis of the thesaurus of the future information retrieval system.

Efektivitas Sistem Temu Kembali Informasi Perpustakaan Digital Institut Seni Indonesia (ISI) Yogyakarta dalam Tinjauan Recall dan Precision

2021 ◽  
Vol 28 (1) ◽  
pp. 37-48
Author(s):  
Thoriq Tri Prabowo
Keyword(s):  
Information Retrieval ◽  
Interior Design ◽  
Digital Library ◽  
Digital Libraries ◽  
Retrieval System ◽  
Relevant Information ◽  
Information Retrieval System ◽  
Digital Information ◽  
Retrieval Systems ◽  
Information Retrieval Systems

Today's digital library is a necessity. A system that provides all-digital information and services requires that all aspects of it should be accessed effectively. In the context of information retrieval in digital libraries, the information retrieval systems are important instruments. The system becomes a link between relevant information and its users. Evaluation of the information retrieval system to determine its effectiveness is important to ensure that users receive good retrieval services. Recall and precision are approaches to measure the effectiveness of information retrieval systems that are widely used. This study aims to determine the effectiveness of the ISI Yogyakarta digital library retrieval system based on recall and precision approaches. This study will provide benefits for librarians in knowing the effectiveness of the information retrieval system and the extent of their accuracy in indexing. This research uses an experimental method with a quantitative approach. The researcher chose a sample of the searching keywords purposively and then tested them by searching on the portal http://digilib.isi.ac.id/. The data obtained were analyzed using the formula recall and precision. In this study the subjects tested were interior design subjects. The precision measurement of 10 keywords on the subject of interior design gets 92.37% results while the recall measurement gets 80.79% results. The result stated that precision is higher than recall, it showed that the information retrieval system of ISI Yogyakarta’s digital library is quite effective.

A Study on Effective Measurement of Search Results from Search Engines

2019 ◽  
Vol 27 (1) ◽  
pp. 196-221 ◽  
Author(s):  
Jin Zhang ◽  
Xin Cai ◽  
Taowen Le ◽  
Wei Fei ◽  
Feicheng Ma
Keyword(s):  
Information Retrieval ◽  
Information Management ◽  
Search Engine ◽  
Information Search ◽  
Search Engines ◽  
Internet Technology ◽  
Global Information ◽  
Search Results ◽  
Retrieval Systems ◽  
Information Retrieval Systems

This article describes how as internet technology continues to change and improve lives and societies worldwide, effective global information management becomes increasingly critical, and effective Internet information retrieval systems become more and more significant in providing Internet users worldwide with accurate and complete information. Search engine evaluation is an important research field as search engines directly determine the quality of information users' Internet searches. Relevance-decrease pattern/model plays an important role in search engine result evaluation. This research studies effective measurement of search results through investigating relevance-decrease patterns of search results from two popular search engines: Google and Bing. The findings can be applied to relevance-evaluation of search results from other information retrieval systems such as OPAC, can help make search engine evaluations more accurate and sound, and can provide global information management personnel with valuable insights.

scholarly journals CONCEPT OF INFORMATION-SEARCH SYSTEM (ON THE BASIS OF ONTOLOGIES) FOR THE DOMAIN OF MEDICAL LAW

2020 ◽  
Vol 2 (2) ◽  
pp. 6-9
Author(s):  
T. HOVORUSHCHENKO ◽  
◽  
Y. HNATCHUK ◽  
O. SAVCHUK ◽  
◽  
...  
Keyword(s):  
Information Retrieval ◽  
Information Search ◽  
Retrieval System ◽  
Semantic Analysis ◽  
Information Retrieval System ◽  
Information Resources ◽  
Semantic Search ◽  
Medical Law ◽  
Retrieval Systems ◽  
Information Retrieval Systems

The search for information is one of the main components of human activity. The ideal information retrieval system should issue only documents that are relevant to the request. Today, real information retrieval systems provide a completeness factor of 70%, and a search accuracy factor – at a level sometimes even 10%. Thus, the well-known information retrieval systems are currently unable to meet the modern needs of users. The global trend in the processing of large arrays of information, which allows you to solve new classes of problems based on available information resources, is the intellectualization of information and data processing. As a standard of knowledge engineering in the development of information retrieval systems, it is worthwhile to use ontologies that are widely used in the work of search engines and information retrieval systems, as ontologies are an effective tool for organizing a semantic search. The use of ontologies as part of information retrieval systems helps to solve a number of methodological and technological problems that arise during the development of such systems. An important and actual task now is to develop an effective information retrieval system for the field of medical law. The purpose of this study is to develop the concept of an effective information retrieval system (based on ontologies) for the field of medical law. The paper proposes the concept of an information retrieval system (based on ontologies) for the field of medical law, which consists of: an internal ontology of semantic search, which will contain knowledge about the basic elements of the search process; taxonomies of information objects, information about which the user is looking for (this taxonomy will integrate existing ontologies of multimedia information resources, Web-services, and organizational structures); ontologies of the subject area, which will be used for the accumulation of knowledge, as well as for the construction of thesauri, dictionaries, taxonomies; linguistic ontologies designed for semantic analysis of natural information resources.

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.

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