Conceptual Data Systems

Scheich, Patrick; Skorsky, Martin; Vogt, Frank; Wachter, Cornelia; Wille, Rudolf

doi:10.1007/978-3-642-50974-2_8

Cited by 27 publications

(13 citation statements)

References 4 publications

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“…2 shows a nested diagram displayed by ToscanaJ. This idea has been first elaborated in [23,35,37] and led to the development of Conceptual Information Systems with Toscana: the systems allow users to compose views using diagrams of the conceptual scales.…”

Section: Conceptualmentioning

confidence: 99%

The ToscanaJ Suite for Implementing Conceptual Information Systems

Becker

Correia

2005

Formal Concept Analysis

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Abstract. For over a decade, work on Formal Concept Analysis has been accompanied by the development of the Toscana software. Toscana was implemented to realize the idea of Conceptual Information Systems which allow the analysis of data using concept-oriented methods. Over the years, many ideas from Formal Concept Analysis have been tested in Toscana systems while the real-world problems encountered led to new theoretical research. After ten years of development, the ToscanaJ project was initiated to solve some outstanding problems of the older Toscana versions. The ToscanaJ suite provides programs for creating and using Conceptual Information Systems. The experience with older Toscana implementations has been applied to the design of the programs. A workflow that developed through many Toscana projects has now been integrated into the tools to make them easier to use. Implemented as an Open-Source project and embedded into the larger Tockit project, ToscanaJ is also a starting point for creating a common base for software development for Formal Concept Analysis. In this paper, we present the features of the ToscanaJ suite and how they can be used to implement Conceptual Information Systems.

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Section: Conceptualmentioning

confidence: 99%

The ToscanaJ Suite for Implementing Conceptual Information Systems

Becker

Correia

2005

Formal Concept Analysis

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“…FCA has been applied in a wide range of domains, including medicine (Schnabel 2002;Belohlávek, Sigmund, and Zacpal 2011), biology (Motameny, Versmold, and Schmutzler 2008), social sciences, linguistics (Priss 2004), ontology (Cimiano, Hotho, Stumme and Tane 2004), and software engineering (Eisenbarth, Koschke, and Simon 2003). For instance, FCA has been applied to analysing data of children with diabetes (Scheich, Skorsky, Vogt, Wachter, and Wille 1993), for duplicate detection in web search results (Ignatov and Kuznetsov 2009), for developing a recommender system in Internet advertisement (Ignatov and Kuznetsov 2008), and for an Information Technology (IT) security management system (Becker, Stumme, Wille, Wille, and Zickwolff 2000). In Eklund, Ducrou, and Brawn (2004) and Domingo and Eklund (2005), FCA was used as a visualization technique that allows human actors to quickly gain insight by browsing through information.…”

Section: Formal Concept Analysismentioning

confidence: 99%

Semi-automated knowledge discovery: identifying and profiling human trafficking

Poelmans

Elzinga²,

Ignatov

et al. 2012

International Journal of General Systems

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We propose an iterative and human-centred knowledge discovery methodology based on formal concept analysis. The proposed approach recognizes the important role of the domain expert in mining real-world enterprise applications and makes use of specific domain knowledge, including human intelligence and domain-specific constraints. Our approach was empirically validated at the Amsterdam-Amstelland police to identify suspects and victims of human trafficking in 266,157 suspicious activity reports. Based on guidelines of the Attorney Generals of the Netherlands, we first defined multiple early warning indicators that were used to index the police reports. Using concept lattices, we revealed numerous unknown human trafficking and loverboy suspects. Indepth investigation by the police resulted in a confirmation of their involvement in illegal activities resulting in actual arrestments been made. Our human-centred approach was embedded into operational policing practice and is now successfully used on a daily basis to cope with the vastly growing amount of unstructured information.

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“…[191]; of the numerous related models we would like to mention the relational data bases of Codd [26] but also the information systems of Pawlak [133] as well as the Chu spaces (cf. Their use in conceptual file and knowledge systems has been discussed in Vogt, Wachter & Wille [181], in Scheich, Skorsky, Vogt, Wachter & Wille [150] and in [207]. Their use in conceptual file and knowledge systems has been discussed in Vogt, Wachter & Wille [181], in Scheich, Skorsky, Vogt, Wachter & Wille [150] and in [207].…”

Section: Hints and Referencesmentioning

confidence: 99%