Managing Vagueness with Fuzzy in Hierarchical Big Data1

Daniel J. Lewis, Trevor P. Martin

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddCyfraniad i gynhadleddadolygiad gan gymheiriaid


Out of the web of linked open data, comes a sense of networked “Big Data.” This large scale interconnected data is hierarchical, and often messy and full of subjective bias particularly when mass collaboration is concerned (e.g. wikipedia). In this paper we apply fuzzy set theory, specifically the X-μ approach which is shown to be more efficient than a standard fuzzy approach, to attributes within linked data. We look at hierarchical structures, using an example from the films subset of the DBpedia data repository. The hierarchical nature of film categories lends itself well to our application, and we apply fuzzy models to handle the vagueness in attributes such as film length, film budget, and box office takings.
Iaith wreiddiolSaesneg
TeitlProcedia Computer Science
Is-deitlINNS Conference on Big Data 2015 Program San Francisco, CA, USA 8-10 August 2015
Nifer y tudalennau10
ISBN (Argraffiad)18770509 (ISSN)
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2015

Cyfres gyhoeddiadau

EnwProcedia Computer Science
ISSN (Argraffiad)1877-0509

Ôl bys

Gweld gwybodaeth am bynciau ymchwil 'Managing Vagueness with Fuzzy in Hierarchical Big Data1'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.

Dyfynnu hyn