ABS: Jarvelin, A user-oriented interface for generalized informetric analysis based on applying advanced data modelling techniques

[Gretchen Whitney]

PT J
AU Jarvelin, K
   Ingwersen, P
   Niemi, T
TI A user-oriented interface for generalised informetric analysis
   based on applying advanced data modelling techniques
SO JOURNAL OF DOCUMENTATION
LA English
DT Article
NR 41
SN 0022-0418
PU ASLIB
C1 Univ Tampere, Dept Informat Studies, FIN-33014 Tampere,
   Finland.
   Univ Tampere, Dept Informat Studies, FIN-33014 Tampere, Finland.
   Royal Sch Lib & Informat Sci, DK-2300 Copenhagen S, Denmark.
   Univ Tampere, Dept Comp & Informat Sci, FIN-33014 Tampere, Finland.
ID AUTHOR COCITATION ANALYSIS; INFORMATION-RETRIEVAL; RELATIONAL
   DATABASES; QUERY LANGUAGE; IMPACT; PERSPECTIVES; INTEGRATION;
   OVERLAPS
AB This article presents a novel user-oriented interface for
   generalised informetric analysis and demonstrates how
   informetric calculations can easily and declaratively be
   specified through advanced data modelling techniques. The
   interface is declarative and at a high level. Therefore it is
   easy to use, flexible and extensible. It enables end users to
   perform basic informetric ad hoc calculations easily and often
   with much less effort than in contemporary online retrieval
   systems. It also provides several fruitful generalisations of
   typical informetric measurements like impact factors. These are
   based on substituting traditional foci of analysis, for
   instance journals, by other object types, such as authors,
   organisations or countries. In the interface, bibliographic
   data are modelled as complex objects (non-first normal form
   relations) and terminological and citation networks involving
   transitive relationships are modelled as binary relations for
   deductive processing. The interface is flexible, because it
   makes it easy to switch focus between various object types for
   informetric calculations, e.g. from authors to institutions.
   Moreover, it is demonstrated that all informetric data can
   easily be broken down by criteria that foster advanced
   analysis, e.g. by years or content-bearing attributes. Such
   modelling allows flexible data aggregation along many
   dimensions. These salient features emerge from the query
   interface's general data restructuring and aggregation
   capabilities combined with transitive processing capabilities.
   The features are illustrated by means of sample queries and
   results in the article.
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TC 0
BP 250
EP 278
PG 29
JI J. Doc.
PY 2000
PD MAY
VL 56
IS 3
GA 310VE
PI LONDON
RP Jarvelin K
   Univ Tampere, Dept Informat Studies, FIN-33014 Tampere, Finland.
J9 J DOC
PA STAPLE HALL, STONE HOUSE COURT, LONDON EC3A 7PB, ENGLAND
UT ISI:000086849100002
ER


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