scholarly journals On Knowledge Organization

2012 ◽  
Vol 13 (1) ◽  
pp. 249-256
Author(s):  
Alan Gilchrist
Keyword(s):  
Information Retrieval ◽  
Knowledge Representation ◽  
End Users ◽  
Knowledge Organization ◽  
Working Environment ◽  
Knowledge Models ◽  
Self Testing ◽  
The World ◽  
Other Information ◽  
Information Professionals

It is argued that because knowledge is abstract and every person has a unique perception of his environment and the properties and behaviour of its components, it follows that those people engaged in Knowledge Organization (and less directly Knowledge Representation) must base their work on physical records, which we may call carriers of information, or messages. The products based on analysis of these messages can then be considered as models of knowledge. Models are created in order to reduce complexity and to gain a clearer understanding of aspects of the world around us, but they must be continuously tested and revised in a working environment. The testing of the products of Knowledge Organization is often carried out by information scientists in their provision of information retrieval, whereas while the products of Knowledge Representation also rely on Knowledge Organization, they may be considered, to some extent, to be self-testing. It follows that much can be gained by a closer collaboration between those engaged in Knowledge Organization, Knowledge Representation and various other information professionals engaged in delivering information to end users.

scholarly journals ThManager: An Open Source Tool for Creating and Visualizing SKOS

2007 ◽  
Vol 26 (3) ◽  
pp. 39 ◽  
Author(s):  
Javier Lacasta ◽  
Javier Nogueras-Iso ◽  
Francisco Javier López-Pellicer ◽  
Pedro Rafail Muro-Medrano ◽  
Francisco Javier Zarazaga-Soria
Keyword(s):  
Information Retrieval ◽  
Open Source ◽  
Data Sharing ◽  
Digital Libraries ◽  
Knowledge Organization ◽  
Open Source Tool ◽  
Knowledge Models ◽  
Knowledge Organization Systems ◽  
Interchange Format

Knowledge organization systems denotes formally represented knowledge that is used within the context of digital libraries to improve data sharing and information retrieval. To increase their use, and to reuse them when possible, it is vital to manage them adequately and to provide them in a standard interchange format. Simple knowledge organization systems (SKOS) seem to be the most promising representation for the type of knowledge models used in digital libraries, but there is a lack of tools that are able to properly manage it. This work presents a tool that fills this gap, facilitating their use in different environments and using SKOS as an interchange format.

Merging Controlled Vocabularies for More Efficient Subject-Based IR Systems

2013 ◽  
pp. 254-267
Author(s):  
Ioannis Papadakis ◽  
Konstantinos Kyprianos
Keyword(s):  
Information Retrieval ◽  
Digital Library ◽  
Controlled Vocabulary ◽  
Knowledge Organization ◽  
Proof Of Concept ◽  
Controlled Vocabularies ◽  
Common Structure ◽  
Simple Knowledge Organization System ◽  
Knowledge Organization System ◽  
The World

One of the most important tasks of a librarian is the assignment of appropriate subject(s) to a resource within a library’s collection. The subjects usually belong to a controlled vocabulary that is specifically designed for such a task. The most widely adopted controlled vocabulary across libraries around the world is the Library of Congress Subject Headings (LCSH). However, there seems to be a shifting from traditional LCSH to modern thesauri. In this paper, a methodology is proposed, capable of incorporating thesauri into existing LCSH-based Information Retrieval–IR systems. In order to achieve this, a mapping methodology is proposed capable of providing a common structure consisting of terms belonging to LCSH and/or a thesaurus. The structure is modeled as a Simple Knowledge Organization System (SKOS) ontology, which can be employed by appropriate subject-based IR systems. As a proof of concept, the proposed methodology is applied to the DSpace-based University of Piraeus digital library.

Merging Controlled Vocabularies for More Efficient Subject-Based IR Systems

2011 ◽  
Vol 7 (3) ◽  
pp. 74-90 ◽  
Author(s):  
Ioannis Papadakis ◽  
Konstantinos Kyprianos
Keyword(s):  
Information Retrieval ◽  
Digital Library ◽  
Controlled Vocabulary ◽  
Knowledge Organization ◽  
Proof Of Concept ◽  
Controlled Vocabularies ◽  
Common Structure ◽  
Simple Knowledge Organization System ◽  
Knowledge Organization System ◽  
The World

One of the most important tasks of a librarian is the assignment of appropriate subject(s) to a resource within a library’s collection. The subjects usually belong to a controlled vocabulary that is specifically designed for such a task. The most widely adopted controlled vocabulary across libraries around the world is the Library of Congress Subject Headings (LCSH). However, there seems to be a shifting from traditional LCSH to modern thesauri. In this paper, a methodology is proposed, capable of incorporating thesauri into existing LCSH-based Information Retrieval–IR systems. In order to achieve this, a mapping methodology is proposed capable of providing a common structure consisting of terms belonging to LCSH and/or a thesaurus. The structure is modeled as a Simple Knowledge Organization System (SKOS) ontology, which can be employed by appropriate subject-based IR systems. As a proof of concept, the proposed methodology is applied to the DSpace-based University of Piraeus digital library.

scholarly journals Intelligent information retrieval from the World Wide Web using fuzzy user modelling.

2013 ◽  
Vol 21 (67) ◽  
pp. 24-28
Author(s):  
Gary Mooney
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Information Needs ◽  
World Wide ◽  
The World ◽  
Other Information ◽  
Nature Of Information ◽  
Intelligent Information ◽  
Available Information ◽  
Academic Resources

The ever-changing nature of information sources, coupled with the increased demand on dwindling academic resources, led librarians and other information professionals to recognise the need for information retrieval (IR) systems that can incorporate the expertise of the information professional and gather knowledge about the user's experiences and preferences (Werckert & Cooper, 1989). The explosion of available information resources brought about by the development of the Internet and the World-Wide Web (WWW) has strengthened this need. The goal is to produce an 'intelligent' IR system which would work with the user to satisfy their information needs, so the application of Artificial lntelligence (AI) techniques seems a likely approach to the problem (Morris, 1990).

A new framework for ethical creation and evaluation of multi-perspective knowledge organization systems

2020 ◽  
Vol 76 (6) ◽  
pp. 1459-1471
Author(s):  
Maayan Zhitomirsky-Geffet ◽  
Lala Hajibayova
Keyword(s):  
Knowledge Representation ◽  
Design Methodology ◽  
Knowledge Organization ◽  
Content Type ◽  
Ethical Knowledge ◽  
Knowledge Organization Systems ◽  
Information Professionals ◽  
Ethical Criteria ◽  
And Shifts ◽  
New Framework

PurposeThis study aims to present a new framework for ethical creation and evaluation of multi-perspective knowledge organization systems.Design/methodology/approachApplying Held's understanding of the ethics of care, this paper proposes five operative criteria for ethical building and evaluation of multi-perspective knowledge representation and organization systems.FindingsThis paper argues that a carefully designed multipoint view of representation and organization conforms to the proposed ethical criteria and shifts concerns associated with the expectation of neutrality of library information professionals to the necessity to humanize and diversify the representation and organization of knowledge to build inclusive and equitable systems.Originality/valueThis paper presents multi-perspectiveness as key to ethical knowledge organization. The paper proposes a generic taxonomy of the main stages in the creation of multi-perspective knowledge representation and organization systems and demonstrates how to apply the proposed framework in each stage to ensure ethical outcomes.

On Machine Learning and Knowledge Organization in Multimedia Information Retrieval

2020 ◽  
Vol 47 (1) ◽  
pp. 45-55
Author(s):  
Andrew MacFarlane ◽  
Sondess Missaoui ◽  
Sylwia Frankowska-Takhari
Keyword(s):  
Machine Learning ◽  
Information Retrieval ◽  
Multimedia Information ◽  
Process Model ◽  
Knowledge Organization ◽  
Multimedia Information Retrieval ◽  
Multimedia Search ◽  
Technological Developments ◽  
Information Professionals ◽  
Use Of Knowledge

Recent technological developments have increased the use of machine learning to solve many problems, including many in information retrieval. Multimedia information retrieval as a problem represents a significant challenge to machine learning as a technological solution, but some problems can still be addressed by using appropriate AI techniques. We review the technological developments and provide a perspective on the use of machine learning in conjunction with knowledge organization to address multimedia IR needs. The semantic gap in multimedia IR remains a significant problem in the field, and solutions to them are many years off. However, new technological developments allow the use of knowledge organization and machine learning in multimedia search systems and services. Specifically, we argue that, the improvement of detection of some classes of low-level features in images music and video can be used in conjunction with knowledge organization to tag or label multimedia content for better retrieval performance. We provide an overview of the use of knowledge organization schemes in machine learning and make recommendations to information professionals on the use of this technology with knowledge organization techniques to solve multimedia IR problems. We introduce a five-step process model that extracts features from multimedia objects (Step 1) from both knowledge organization (Step 1a) and machine learning (Step 1b), merging them together (Step 2) to create an index of those multimedia objects (Step 3). We also overview further steps in creating an application to utilize the multimedia objects (Step 4) and maintaining and updating the database of features on those objects (Step 5).

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.

CIKM 2020 conference report

2021 ◽  
pp. 1-4
Author(s):  
Mathieu D'Aquin ◽  
Stefan Dietze
Keyword(s):  
United States ◽  
Machine Learning ◽  
Knowledge Management ◽  
Information Retrieval ◽  
Conference Report ◽  
The United States ◽  
Knowledge Based ◽  
The World ◽  
Science Conference ◽  
Information And Knowledge Management

The 29th ACM International Conference on Information and Knowledge Management (CIKM) was held online from the 19 th to the 23 rd of October 2020. CIKM is an annual computer science conference, focused on research at the intersection of information retrieval, machine learning, databases as well as semantic and knowledge-based technologies. Since it was first held in the United States in 1992, 28 conferences have been hosted in 9 countries around the world.

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