Martin Nečaský

Associate Professor

Charles University

Czech Republic

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Professors in Machine Learning

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About

Martin Nečaský is an Associate Professor at Charles University, located in the Czech Republic. His research focuses on data discovery, knowledge graphs, and the management of data specifications. Recent articles authored by Dr. Nečaský include topics such as context-enhanced similarity search and frameworks for dataset findability in open data catalogs.

Articles (8)

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Collaborators (3)

Jakub Klímek

Assistant Professor

Charles University

CZECH REPUBLIC

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Petr Škoda

Charles University

CZECH REPUBLIC

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Tomas Skopal

Charles University

CZECH REPUBLIC

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Martin Nečaský

Research Interests

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Contact this professor

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Articles (8)

Open dataset discovery using context-enhanced similarity search

Modular framework for similarity-based dataset discovery using external knowledge

Open dataset discovery using context-enhanced similarity search

Interactive and iterative visual exploration of knowledge graphs based on shareable and reusable visual configurations

Interactive and iterative visual exploration of knowledge graphs based on shareable and reusable visual configurations

DataSpecer: A Model-Driven Approach to Managing Data Specifications

Similarity vs. Relevance: From Simple Searches to Complex Discovery

Evaluation Framework for Search Methods Focused on Dataset Findability in Open Data Catalogs

Collaborators (3)

Jakub Klímek

Petr Škoda

Tomas Skopal

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