Towards Scalingless Generation of Formal Contexts from an Ontology in a Triple Store

Author:

Dau Frithjof1

Affiliation:

1. SAP AG, Walldorf, Germany

Abstract

The EU-funded research project CUBIST investigates how Formal Concept Analysis can be applied as a Visual Analytics tool on top of information stored in a Triple Store (TS). This paper provides first steps for utilizing SPARQL in order to generate formal contexts out of the data in the TS, where the emphasis is put on using object-properties between individuals. Thus it complements FcaBedrock, which will be used in CUBIST as well and focuses on the scaling of datatype-properties between individuals and literals. It is discussed how the approaches of this paper and FcaBedrock can be combined.

Publisher

IGI Global

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Visual Analytics Technique for Exploring Gene Expression in the Developing Mouse Embryo;Graph-Based Representation and Reasoning;2018

2. A comprehensive survey on formal concept analysis, its research trends and applications;International Journal of Applied Mathematics and Computer Science;2016-06-01

3. Combining Business Intelligence with Semantic Technologies: The CUBIST Project;Graph-Based Representation and Reasoning;2014

4. Visualising Inconsistency and Incompleteness in RDF Gene Expression Data using FCA;International Journal of Conceptual Structures and Smart Applications;2014-01

5. The CUBIST Project;International Journal of Intelligent Information Technologies;2013-10

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