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20182024
most citedContext Spaces as the Cornerstone of a Near-Transparent & Self-Reorganizing Semantic Desktop

11 citations · 46 across the 19 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

cs.CL2018★ 3 cited

Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications

Christian Jilek, Markus Schröder, Rudolf Novik +3

A growing number of applications users daily interact with have to operate in (near) real-time: chatbots, digital companions, knowledge work support systems -- just to name a few.…

cs.CY2018

Advanced Memory Buoyancy for Forgetful Information Systems

Christian Jilek, Jessica Chwalek, Sven Schwarz +3

Knowledge workers face an ever increasing flood of information in their daily lives. To counter this and provide better support for information management and knowledge work in gen…

cs.DB2018★ 1 cited

Towards Semantically Enhanced Data Understanding

Markus Schröder, Christian Jilek, Jörn Hees +1

In the field of machine learning, data understanding is the practice of getting initial insights in unknown datasets. Such knowledge-intensive tasks require a lot of documentation,…

cs.AI2018★ 11 cited

Context Spaces as the Cornerstone of a Near-Transparent & Self-Reorganizing Semantic Desktop

Christian Jilek, Markus Schröder, Sven Schwarz +2

Existing Semantic Desktops are still reproached for being too complicated to use or not scaling well. Besides, a real "killer app" is still missing. In this paper, we present a new…

cs.HC2018★ 3 cited

Deep Linking Desktop Resources

Markus Schröder, Christian Jilek, Andreas Dengel

Deep Linking is the process of referring to a specific piece of web content. Although users can browse their files in desktop environments, they are unable to directly traverse dee…

cs.DB2018★ 8 cited

Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths

Markus Schröder, Jörn Hees, Ansgar Bernardi +3

Within the Semantic Web community, SPARQL is one of the predominant languages to query and update RDF knowledge. However, the complexity of SPARQL, the underlying graph structure a…