9 citations · 10 across the 4 of their papers we have counts for
17 papers
Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets
Desiree Heim, Christian Jilek, Adrian Ulges +1
Current publicly available knowledge work data collections lack diversity, extensive annotations, and contextual information about the users and their documents. These issues hinde…
Spread2RML: Constructing Knowledge Graphs by Predicting RML Mappings on Messy Spreadsheets
Markus Schröder, Christian Jilek, Andreas Dengel
The RDF Mapping Language (RML) allows to map semi-structured data to RDF knowledge graphs. Besides CSV, JSON and XML, this also includes the mapping of spreadsheet tables. Since sp…
A Linked Data Application Framework to Enable Rapid Prototyping
Markus Schröder, Christian Jilek, Andreas Dengel
Application developers, in our experience, tend to hesitate when dealing with linked data technologies. To reduce their initial hurdle and enable rapid prototyping, we propose in t…
Mapping Spreadsheets to RDF: Supporting Excel in RML
Markus Schröder, Christian Jilek, Andreas Dengel
The RDF Mapping Language (RML) enables, among other formats, the mapping of tabular data as Comma-Separated Values (CSV) files to RDF graphs. Unfortunately, the widely used spreads…
Dataset Generation Patterns for Evaluating Knowledge Graph Construction
Markus Schröder, Christian Jilek, Andreas Dengel
Confidentiality hinders the publication of authentic, labeled datasets of personal and enterprise data, although they could be useful for evaluating knowledge graph construction ap…
Interactively Constructing Knowledge Graphs from Messy User-Generated Spreadsheets
Markus Schröder, Christian Jilek, Michael Schulze +1
When spreadsheets are filled freely by knowledge workers, they can contain rather unstructured content. For humans and especially machines it becomes difficult to interpret such da…