11 citations · 54 across the 18 of their papers we have counts for
19 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…
Data Collection of Real-Life Knowledge Work in Context: The RLKWiC Dataset
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder +2
Over the years, various approaches have been employed to enhance the productivity of knowledge workers, from addressing psychological well-being to the development of personal know…
Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories
Christian Jilek, Markus Schröder, Heiko Maus +2
This paper presents a retrospective overview of a decade of research in our department towards self-organizing personal knowledge assistants in evolving corporate memories. Our res…
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…
The Person Index Challenge: Extraction of Persons from Messy, Short Texts
Markus Schröder, Christian Jilek, Michael Schulze +1
When persons are mentioned in texts with their first name, last name and/or middle names, there can be a high variation which of their names are used, how their names are ordered a…
Bridging the Technology Gap Between Industry and Semantic Web: Generating Databases and Server Code From RDF
Markus Schröder, Michael Schulze, Christian Jilek +1
Despite great advances in the area of Semantic Web, industry rather seldom adopts Semantic Web technologies and their storage and query concepts. Instead, relational databases (RDB…
Temporarily Unavailable: Memory Inhibition in Cognitive and Computer Science
Tobias Tempel, Claudia Niederée, Christian Jilek +4
Inhibition is one of the core concepts in Cognitive Psychology. The idea of inhibitory mechanisms actively weakening representations in the human mind has inspired a great number o…
Interactive Concept Mining on Personal Data -- Bootstrapping Semantic Services
Markus Schröder, Christian Jilek, Andreas Dengel
Semantic services (e.g. Semantic Desktops) are still afflicted by a cold start problem: in the beginning, the user's personal information sphere, i.e. files, mails, bookmarks, etc.…
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.…
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…
Managed Forgetting to Support Information Management and Knowledge Work
Christian Jilek, Yannick Runge, Claudia Niederée +4
Trends like digital transformation even intensify the already overwhelming mass of information knowledge workers face in their daily life. To counter this, we have been investigati…
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,…
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…
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…
An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor
Markus Schröder, Christian Jilek, Jörn Hees +2
Spreadsheets are widely used by knowledge workers, especially in the industrial sector. Their methodology enables a well understood, easy and fast possibility to enter data. As fil…