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Open AccessJournal Article

The Role of Classification in Knowledge Representation and Discovery.

Barbara H. Kwasnik
- 01 Jun 1999 - 
- Vol. 48, Iss: 1, pp 22-47
TLDR
The strengths and limitations of four classificatory approaches are described in terms of their ability to reflect, discover, and create new knowledge.
Abstract
THELINK BETWEEN CLASSIFICATION AND KNOWLEDGE is explored. Classification schemes have properties that enable the representation of entities and relationships in structures that reflect knowledge of the domain being classified. The strengths and limitations of four classificatory approaches are described in terms of their ability to reflect, discover, and create new knowledge. These approaches are hierarchies, trees, paradigms, and faceted analysis. Examples are provided of the way in which knowledge and the classification process affect each other.

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Citations
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Exploratory Search:Beyond the Query-Response Paradigm

TL;DR: This lecture introduces exploratory search, relates it to relevant extant research, outline the features of exploratorySearch systems, discuss the evaluation of these systems, and suggest some future directions for supporting exploratorysearch.
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A literature review of decision-making models and approaches for partner selection in agile supply chains

TL;DR: The paper reviews the literature on supply partner decision-making published between 2001 and 2011 and uses a classification framework that enables models intended for similar purposes to be compared and tracked over time to identify a number of gaps.
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Ontology Research and Development. Part 1-A Review of Ontology Generation.

TL;DR: It is identified that shallow information extraction and natural language processing techniques are deployed to extract concepts or classes from free-text or semi-structured data, but relation extraction is a very complex and difficult issue to resolve and it has turned out to be the main impediment to ontology learning and applicability.
Journal ArticleDOI

A recommendation for the definition of "late preterm" (near-term) and the birth weight-gestational age classification system.

TL;DR: It is proposed that "late preterm" be defined as beginning on the 239th day and ending on the 259th day since the first day of the mother's last normal menstrual period, which better reflects the higher risk for complications of pre term birth experienced by this subgroup of preterm infants.
References
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Book

The origins of knowledge and imagination

TL;DR: In this paper, Jacob Bronowski, a mathematician and scientist, presents a succinct introduction to the state of modern thinking about the role of science in man's intellectual and moral life.
Journal Article

Mapping Beyond Dewey's Boundaries: Constructing Classificatory Space for Marginalized Knowledge Domains.

Hope A. Olson
- 01 Jan 1998 - 
TL;DR: This article describes a framework and how it is applied using techniques such as Gillian Rose’s “paradoxical spaces,” which are simultaneously or alternately in the center and at the margin, same and other, inside and outside to develop a more complex and meaningful classification for women and other marginalized groups.
Journal ArticleDOI

The Creation of New Knowledge by Information Retrieval and Classification.

TL;DR: This paper reviews previous work on producing knowledge by information retrieval or classification and describes techniques by which hidden knowledge may be retrieved, e.g. serendipity in browsing, use of appropriate search strategies and, possibly in the future, methods based on Farradane's relational indexing or artificial intelligence.
Journal ArticleDOI

The Role of Classification Structures in Reflecting and Building Theory

TL;DR: The strong relationship of theories and 'classification schemes is examined: two classification schemes: The DSM Classification and the Periodic Table of Elements are offered as two examples of this relationship.
Trending Questions (1)
What are the advantages and disadvantages of each classification?

The paper does not provide specific information about the advantages and disadvantages of each classification approach.