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Erschienen in:
The Importance of Interdisciplinary Research and Teaching Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

8. Benefits of a Comprehensive Phenomenon-Based Classification

verfasst von : Rick Szostak, Claudio Gnoli, María López-Huertas

Erschienen in: Interdisciplinary Knowledge Organization

Verlag: Springer International Publishing

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Abstract

With the broad outlines of a novel classification sketched in previous chapters, it is useful to note in this chapter that—while this approach to classification has its challenges—such a classification would have many advantages for classificationist, classifier, and user. We review first the advantages for scholarly users, and then for general users. We close the chapter with a brief discussion of the practical challenges of achieving adoption of the recommended approach to classification. It is argued that certain of the myriad advantages of the new approach should facilitate adoption.

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Vorheriges Kapitel How to Develop a KOS to Serve Interdisciplinarity
Nächstes Kapitel Responding to Potential Theoretical Critiques
Fußnoten
1
Svenonius (2004) had argued that information scientists had to choose to either employ natural language ambiguously, or to provide formal precise terminology quite distinct from common usage. An approach that limits ambiguity potentially allows us to employ natural language precisely (Szostak 2015).
 
2
The synthetic approach may also allow the out-performance of purely pre-coordinated or post-coordinated systems. See Szostak (2015).
 
3
In recognition of the limitations of LCSH, especially in the digital age, a somewhat faceted application of LCSH, termed FAST (faceted application of subject terminology) has been developed which facilitates synthesis of common geographical, time-related, and other elements of LCSH. Notably the developers of FAST considered developing an entirely new system but decided instead to adapt LCSH in order to maintain its rich vocabulary (Dean 2003, Chan and O’Neill 2010).
 
4
Though beyond the scope of this book, Szostak (2012) urged the pursuit of comprehensive survey articles along each causal link as a further strategy for coping with information overload. These might be updated annually. They would need to be jargon-free and might thus narrow the gap between scholarly and popular understanding, and support better public discourse around policy issues. An informed public could in turn suggest questions, point to shortcomings in scholarly analysis, and suggest possible ways forward.
 
5
The approach recommended in this book usually leads to relatively compact hierarchies. But in areas such as classifying species, complex multi-level hierarchy is unavoidable. The techniques for compacting hierarchy identified by Julien et al. (2013) might then be useful.
 
6
Zhang (2014) explored how users might utilize the Medline database in order to find health information. Zhang’s key recommendations for improvements are: a more natural interface to facilitate user questions, more effective hierarchies to facilitate query reformulation, focusing the search results page on accessing answers rather than documents, and providing multiple schemas to help users navigate. We have touched on all of these here: recall that the approach recommended in this book would classify documents (and thus facilitate search) in terms of the key insights that documents contain.
 
7
Even here, Sandgrind (2010) makes an interesting observation: “The explosion of information made available by the Internet makes the role of parliamentary libraries and research services more, not less important, as busy parliamentarians need people to filter information for them and to do so in a timely, accurate, and politically neutral way.” This point resonates far beyond parliamentary libraries. The Internet creates challenges as well as opportunities for users of all types. And the best antidote to information overload is information organization.
 
8
LaBarre proposed user studies of scholars with an emphasis on how faceted classification might aid them.
 
9
Lambe (2011) notes that it is increasingly important to provide access to ‘behind-the-scenes’ science. But this sort of science is generally not to be found in library databases but elsewhere.
 
10
Even an individual database may face controlled vocabulary challenges. Greenberg et al. (2011) discuss how they developed the HIVE vocabulary to allow translations across the multiple controlled vocabularies used by researchers wishing to deposit data into the Dryad data repository.
 
11
Glushko (2013, 290) notes that the standard classification system for supermarkets has only 300 categories, whereas libraries may have over a million distinct records.
 
12
A handy introduction to both RDF and the OWL ontologies is at LinkedDataTools.com.
 
13
We should in particular want the Semantic Web to be open to diversity of all sorts. The web-of-relations approach advocated by Olson (2007) in the interests of social diversity involves fortuitously precisely the components identified above as necessary for the Semantic Web (Szostak 2014a).
 
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Metadaten
Titel
Benefits of a Comprehensive Phenomenon-Based Classification
verfasst von
Rick Szostak
Claudio Gnoli
María López-Huertas
Copyright-Jahr
2016
Buch
Interdisciplinary Knowledge Organization

Print ISBN: 978-3-319-30147-1

Electronic ISBN: 978-3-319-30148-8

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-30148-8_8