Improving RDF data with data mining
Linked Open Data (LOD) comprises very many and often large public data sets and knowledge bases. Those datasets are mostly presented in the RDF triple structure of subject, predicate, and object, where each triple represents a statement or fact. Unfortunately, the heterogeneity of available open dat...
Main Author: | Abedjan, Ziawasch |
---|---|
Format: | Doctoral Thesis |
Language: | English |
Published: |
Universität Potsdam
2014
|
Subjects: | |
Online Access: | http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-71334 http://opus.kobv.de/ubp/volltexte/2014/7133/ |
Similar Items
-
INFORMATION RETRIEVAL SYSTEM OF SCIENTIFIC AND EDUCATIONAL CONTENT BASED ON LINKED OPEN DATA
by: I. A. Radchenko, et al.
Published: (2018-07-01) -
A Hybrid Approach Combining R*-Tree and <i>k</i>-d Trees to Improve Linked Open Data Query Performance
by: Yuxiang Sun, et al.
Published: (2021-03-01) -
Covering or complete? : Discovering conditional inclusion dependencies
by: Bauckmann, Jana, et al.
Published: (2012) -
Leveraging Bibliographic RDF Data for Keyword Prediction with Association Rule Mining (ARM)
by: Nidhi Kushwaha, et al.
Published: (2014-11-01) -
Linked Data Exploration With RDF Surveyor
by: Guillermo Vega-Gorgojo, et al.
Published: (2019-01-01)