scispace - formally typeset
Open AccessBook

Prolegomena to Library Classification

Reads0
Chats0
About
The article was published on 1967-01-01 and is currently open access. It has received 431 citations till now. The article focuses on the topics: Library of Congress Classification & Dewey Decimal Classification.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

A cultura e a organização do conhecimento: desafios teórico-metodológicos

TL;DR: This paper discusses and proposes a hybrid methodology using the Faceted Classification Theory of Ranganathan and the Theory of Integrative Levels of Classification Research Group, to assist in developing a classification structure.

ArtFinder: A faceted browser for cross-cultural art discovery

TL;DR: In this paper, the authors use clustering methods to create a faceted hierarchy for the exploration and recommendation of Japanese artists to tourists visiting Japan, which opens up future work in the understanding of the links between artists from different cultures as well as in automatically categoris- ing and browsing linked data.
Proceedings ArticleDOI

Disentangling Domain Ontologies

TL;DR: In this article , a multi-level conceptual modeling strategy is proposed for engineering conceptually disentangled domain ontologies, which enforces and explicates, via guiding principles, semantic bijections with respect to each level of conceptual entanglement.
Book ChapterDOI

Linking, Mapping, Matching, and Change: Contemporary Use of Ranganathan’s Three Planes of Work in Classification Activity

Wan-Chen Lee
TL;DR: This paper uses three cases to show how discrepancies between the idea plane, verbal plane, and notational plane may cause mapping issues.
Journal ArticleDOI

Hidden Concepts of Library and Information Science in Information Seeking Behavior Models

TL;DR: Many concepts of library and information science (LIS) from information processing and retrieval, reference service case studies and the evaluation experiments of information retrieval systems intrinsically are hidden in these models that have not been explicitly expounded as part of information seeking traits.