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Semantic Web in data mining and knowledge discovery: A comprehensive survey

scientific article (publication date: 2016)

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title

Semantic Web in data mining and knowledge discovery: A comprehensive survey (English)

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sponsor

German Research Foundation

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1

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Heiko Paulheim

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2

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language of work or name

English

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publication date

January 2016

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published in

Journal of Web Semantics

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volume

36

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page(s)

1-22

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cites work

Linked data – the story so far

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Mining the Semantic Web

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Toward principles for the design of ontologies used for knowledge sharing?

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https://api.crossref.org/works/10.1016%2FJ.WEBSEM.2016.01.001

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7 January 2021

Approaches to visualising linked data: a survey

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Sig.ma: Live views on the Web of Data

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Linked data as background knowledge for information extraction on the web

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Towards an ontology for data quality in integrated chronic disease management: a realist review of the literature

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Unsupervised generation of data mining features from linked open data

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From data to knowledge mining

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Ontology of core data mining entities

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A survey of intelligent assistants for data analysis

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SEGS: search for enriched gene sets in microarray data

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Biomine: predicting links between biological entities using network models of heterogeneous databases.

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A decomposition of the outlier detection problem into a set of supervised learning problems

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7 January 2021

Identifiers

DOI

10.1016/J.WEBSEM.2016.01.001

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DBLP publication ID

journals/ws/RistoskiP16

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DBLP Dataset 2021-01-02

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28 January 2021

(Q30309665)

Semantic Web in data mining and knowledge discovery: A comprehensive survey

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