Exploration of Document Classification with Linked Data and pageRank
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43919202" target="_blank" >RIV/49777513:23520/14:43919202 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-01571-2_6" target="_blank" >http://dx.doi.org/10.1007/978-3-319-01571-2_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-01571-2_6" target="_blank" >10.1007/978-3-319-01571-2_6</a>
Alternative languages
Result language
angličtina
Original language name
Exploration of Document Classification with Linked Data and pageRank
Original language description
In this article, we would like to present a new approach to classification using Linked Data and PageRank. Our research is focused on classification methods that are enhanced by semantic information. The semantic information can be obtained from ontologyor from Linked Data. DBpedia was used as a source of Linked Data in our case. The feature selection method is semantically based so features can be recognized by non-professional users as they are in a human readable and understandable form. PageRank isused during the feature selection and generation phase for the expansion of basic features into more general representatives. This means that feature selection and PageRank processing is based on network relations obtained from Linked Data. The discovered features can be used by standard classification algorithms. We will present promising results that show the simple applicability of this approach to two different datasets.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Intelligent Distributed Computing VII
ISBN
978-3-319-01570-5
ISSN
1860-949X
e-ISSN
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Number of pages
7
Pages from-to
37-43
Publisher name
Springer
Place of publication
Cham
Event location
Praha
Event date
Sep 4, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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