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Title Details:
Information Retrieval and Search Techniques
Other Titles: A Librarian Approach
Authors: Triantafyllou, Ioannis
Kokkinos, Dionysios
Drivas, Ioannis
Reviewer: Kokkinos, Dionysios
Subject: MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INFORMATION MANAGEMENT > INFORMATION STORAGE AND RETRIEVAL
MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INFORMATION MANAGEMENT > INDEXING
MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INFORMATION MANAGEMENT > QUERY LANGUAGES
MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INTELLIGENT SYSTEMS > BASIC SEARCH STRATEGIES
MATHEMATICS AND COMPUTER SCIENCE > COMPUTER SCIENCE > INTELLIGENT SYSTEMS > ADVANCED SEARCH
HUMANITIES AND ARTS > LINGUISTICS > FIELDS OF LINGUISTICS > FIELDS RELATED TO THE MEANING OF LANGUAGE > SEMANTICS > LEXICAL SEMANTICS
Keywords:
Boolean Algebra
Logical Operators
Venn Diagrams
Information Retrieval System (IRS)
Binary IRS Model
Vector IRS Model
Terms Indexing
Text Representation
IRS Search Queries and Relevance Feedback
IRS Results Matching and Ranking Mechanism
IRS Evaluation & Performance
Precision
Recall
Harmonic Mean / F-Measure
Confusion Matrix
Search Term Relevance
Information Searching/Seeking
Information Searching Techniques
Information Searching Strategies
Boolean Operators
Proximity Operators
Relevance Feedback
Search Engines
Search Engine Optimization
Web Crawlers
IRS in Libraries
OPAC
Union Catalogs
Authorities/Authority Data
Digital Repositories
Bibliographic Databases
Semantic Web
Linked Data
Ontologies
Controlled Vocabularies
Metadata
Knowledge Graphs
Information Resources/Sources
Evaluation of Information Resources
Copyright Issues
Plagiarism
Information Literacy
Description:
Abstract:
The main scope of this textbook is to enhance readers' capabilities and skills in selecting the appropriate strategies for searching and retrieving information. Additionally, this textbook aims to familiarize its readers with the use of modern techniques and strategies for retrieving data and information from search engines, electronic resources, data banks, bibliographic databases and generally all kinds of databases. More specifically, this textbook initially (Introduction) sheds light on the concept of Information Retrieval Systems (IRS), their basic components and their utility. These include fundamental theoretical approaches to the scientific topic of Information Retrieval such as Boolean Algebra and Venn Diagrams (Chapter 1), as well as the theory behind the binary (Chapter 2) and vector (Chapter 3) information representation model adopted by an IRS. Subsequently, the methods and metrics of the evaluation of the IRSs are explained through practical examples (Chapter 4) such as the concepts of Precision, Recall, and their Harmonic Mean (F-Measure). At the same time, a set of search techniques and the related terminology that embraces them are presented through multiple examples, as well as the importance of the relevance feedback process of a query to IRSs (Chapter 5). In addition, examples are given regarding the utility and possibilities offered by modern search engine environments and how they rank their results (Chapter 6), while complementarily, the practical use of search engines in bibliographic/library databases is presented (Chapter 7). This textbook also aims to understand the importance of metadata and the Semantic Web within the evolution of Information Retrieval scientific topic in today's digital world. More specifically, readers can acquire basic knowledge such as the importance of describing metadata for web resources based on international standards, the linked data and their lifecycle, as well as the utility of ontologies and knowledge graphs in the describing process (Chapter 8). Finally, this textbook offers the readers an integrated knowledge about the types of information resources, how to evaluate them, but also fundamental copyright issues that arise when the information is disseminated (Chapter 9).
Linguistic Editors: Sakellariou, Anastasia
Graphic Editors: Papavasiliou, Spiros
Type: Undergraduate textbook
Creation Date: 13-12-2023
Item Details:
ISBN 978-618-228-169-7
License: Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0)
DOI http://dx.doi.org/10.57713/kallipos-402
Handle http://hdl.handle.net/11419/11821
Bibliographic Reference: Triantafyllou, I., Kokkinos, D., & Drivas, I. (2023). Information Retrieval and Search Techniques [Undergraduate textbook]. Kallipos, Open Academic Editions. https://dx.doi.org/10.57713/kallipos-402
Language: Greek
Consists of:
1. Boolean Algebra and Venn Diagrams
2. Binary/Logical IRS Model
3. Vector IRS Model
4. Evaluation of Information Retrieval Systems (IRSs)
5. Search Information Techniques in IRSs
6. Search Engines and Meta-Search Engines
7. IRSs in Libraries
8. Semantic Web
9. Information Resources
Number of pages 334
Publication Origin: Kallipos, Open Academic Editions
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