Research on Information Metadata Standards of Knowledge Organization - A Case Study of Chinese Digital Library

Author(s):  
Kun Hong ◽  
Jingrong Hu ◽  
Xing Chen
Author(s):  
Ali Shiri

The paper reports on a study of the ways in which Canadian digital library collections make use of knowledge organization systems to support users’ information search behaviour. The study identified 33 digital collections which have employed some type of knowledge organization system in their search interfaces.Cet article présente les résultats d’une étude sur la manière dont les systèmes d’organisation des connaissances sont utilisés par les collections des bibliothèques numériques canadiennes, afin d’assister le comportement de recherche informationnelle des utilisateurs. Cette étude a identifiée 33 collections numériques qui ont employé certains types de systèmes d’organisation des connaissances dans leurs interfaces de recherche. 


2019 ◽  
Vol 48 (3-4) ◽  
pp. 107-119
Author(s):  
Pamela Espinosa de los Monteros

AbstractThe digitization and online dissemination of the Popol Vuh, a historical indigenous knowledge work, poses distinct ethical, legal, intellectual, and technological concerns for humanities researchers and information practitioners seeking to study and digitally curate works through a decolonized consciousness. Ongoing debates on data sovereignty, the repatriation of cultural artifacts, and cultural appropriation question the ability of researchers and information practitioners to effectively steward indigenous knowledge works in a digital environment. While consensus on best practices for the postcolonial digital library or archive remain to be established, information inequity continues to persist, effacing indigenous knowledge, languages, and content from the knowledge society. The following case study will discuss the results of a 10-year multi-institutional initiative to curate, repatriate, and steward the reproduction of an indigenous knowledge work online. From the vantage point of the library, the case study will explore the project’s successes, failures, and the work left to be done.


2005 ◽  
Vol 24 (1) ◽  
pp. 4 ◽  
Author(s):  
Hilary Browne Hutchinson ◽  
Anne Rose ◽  
Benjamin B. Bederson ◽  
Ann Carlson Weeks ◽  
Allison Druin

The challenges encountered in building the InternationalChildren’s Digital Library (ICDL), a freely availableonline library of children’s literature are described. Thesechallenges include selecting and processing books fromdifferent countries, handling and presenting multiplelanguages simultaneously, and addressing cultural differences. Unlike other digital libraries that present content from one or a few languages and cultures, and focuson either adult or child audiences, ICDL must serve amultilingual, multicultural, multigenerational audience.The research is presented as a case study for addressingthese design criteria; current solutions and plans forfuture work are described.


2020 ◽  
Vol 5 (1) ◽  
pp. 3-17
Author(s):  
Jian Qin

AbstractPurposeThis paper compares the paradigmatic differences between knowledge organization (KO) in library and information science and knowledge representation (KR) in AI to show the convergence in KO and KR methods and applications.MethodologyThe literature review and comparative analysis of KO and KR paradigms is the primary method used in this paper.FindingsA key difference between KO and KR lays in the purpose of KO is to organize knowledge into certain structure for standardizing and/or normalizing the vocabulary of concepts and relations, while KR is problem-solving oriented. Differences between KO and KR are discussed based on the goal, methods, and functions.Research limitationsThis is only a preliminary research with a case study as proof of concept.Practical implicationsThe paper articulates on the opportunities in applying KR and other AI methods and techniques to enhance the functions of KO.Originality/value:Ontologies and linked data as the evidence of the convergence of KO and KR paradigms provide theoretical and methodological support to innovate KO in the AI era.


Author(s):  
Ioannis Papadakis ◽  
Konstantinos Kyprianos

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.


Author(s):  
Stefano Montanelli ◽  
Silvana Castano ◽  
Alfio Ferrara ◽  
Gaia Varese

In this paper, the authors present a reference P2P architecture based on autonomous, self-emerging semantic communities of interest (CoIs) for collective intelligence creation and management. An approach for enabling knowledge organization and management at the level of a single peer is presented in the paper, as well as techniques for supporting a peer to participate to the construction of a shared community vocabulary, according to the terminological preferences automatically extracted from its personal knowledge. Furthermore, an application example in the e-health domain is presented in the framework of the iCoord system for P2P semantic coordination to show the use of a manifesto-based collective intelligence for enforcing effective collaboration in a real case study.


2016 ◽  
pp. 411-419
Author(s):  
K. S. Raghavan ◽  
I. K. Ravichandra Rao ◽  
K. N. Bhargav

Author(s):  
Stefano Montanelli ◽  
Silvana Castano ◽  
Alfio Ferrara ◽  
Gaia Varese

In this paper, the authors present a reference P2P architecture based on autonomous, self-emerging semantic communities of interest (CoIs) for collective intelligence creation and management. An approach for enabling knowledge organization and management at the level of a single peer is presented in the paper, as well as techniques for supporting a peer to participate to the construction of a shared community vocabulary, according to the terminological preferences automatically extracted from its personal knowledge. Furthermore, an application example in the e-health domain is presented in the framework of the iCoord system for P2P semantic coordination to show the use of a manifesto-based collective intelligence for enforcing effective collaboration in a real case study.


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