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Found 10 papers, 2 papers with code
Data Collection of Real-Life Knowledge Work in Context: The RLKWiC Dataset
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 knowledge assistants.
CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction
The process of cyber mapping gives insights in relationships among financial entities and service providers.
Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories
This paper presents a retrospective overview of a decade of research in our department towards self-organizing personal knowledge assistants in evolving corporate memories.
The Person Index Challenge: Extraction of Persons from Messy, Short Texts
First, we give a formal definition of the problem and describe a procedure to generate ground truth data for future evaluations.
Data Preparation in Agriculture Through Automated Semantic Annotation -- Basis for a Wide Range of Smart Services
Modern agricultural technology and the increasing digitalisation of such processes provide a wide range of data.
Computers and Society
Interactive Concept Mining on Personal Data -- Bootstrapping Semantic Services
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., is not represented by the system.
Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications
Since precision and recall are higher than with comparably fast methods, we conclude that the quality gap between high speed methods and sophisticated NLP pipelines can be narrowed a bit more without losing too much runtime performance.
Towards Semantically Enhanced Data Understanding
In the field of machine learning, data understanding is the practice of getting initial insights in unknown datasets.
Context Spaces as the Cornerstone of a Near-Transparent & Self-Reorganizing Semantic Desktop
Existing Semantic Desktops are still reproached for being too complicated to use or not scaling well.
Simplified SPARQL REST API - CRUD on JSON Object Graphs via URI Paths
Within the Semantic Web community, SPARQL is one of the predominant languages to query and update RDF knowledge.
