activity
20172026
most citedResearch Topic Flows in Co-Authorship Networks

20 citations · 158 across the 42 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.LG2019★ 8 cited

FCA2VEC: Embedding Techniques for Formal Concept Analysis

Dominik Dürrschnabel, Tom Hanika, Maximilian Stubbemann

Embedding large and high dimensional data into low dimensional vector spaces is a necessary task to computationally cope with contemporary data sets. Superseding latent semantic an…

cs.AI2019★ 3 cited

Orometric Methods in Bounded Metric Data

Maximilian Stubbemann, Tom Hanika, Gerd Stumme

A large amount of data accommodated in knowledge graphs (KG) is actually metric. For example, the Wikidata KG contains a plenitude of metric facts about geographic entities like ci…

cs.CG2019★ 2 cited

Drawing Order Diagrams Through Two-Dimension Extension

Dominik Dürrschnabel, Tom Hanika, Gerd Stumme

Order diagrams are an important tool to visualize the complex structure of ordered sets. Favorable drawings of order diagrams, i.e., easily readable for humans, are hard to come by…

cs.LG2019

Collaborative Interactive Learning -- A clarification of terms and a differentiation from other research fields

Tom Hanika, Marek Herde, Jochen Kuhn +8

The field of collaborative interactive learning (CIL) aims at developing and investigating the technological foundations for a new generation of smart systems that support humans i…

cs.CG2019

DimDraw -- A novel tool for drawing concept lattices

Dominik Dürrschnabel, Tom Hanika, Gerd Stumme

Concept lattice drawings are an important tool to visualize complex relations in data in a simple manner to human readers. Many attempts were made to transfer classical graph drawi…

cs.AI2019★ 10 cited

Discovering Implicational Knowledge in Wikidata

Tom Hanika, Maximilian Marx, Gerd Stumme

Knowledge graphs have recently become the state-of-the-art tool for representing the diverse and complex knowledge of the world. Examples include the proprietary knowledge graphs o…