Machine knowledge: Creation and curation of comprehensive knowledge bases
Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
relationships has been a longstanding goal of AI. Over the last decade, large-scale …
The SOFC-exp corpus and neural approaches to information extraction in the materials science domain
This paper presents a new challenging information extraction task in the domain of materials
science. We develop an annotation scheme for marking information on experiments related …
science. We develop an annotation scheme for marking information on experiments related …
[HTML][HTML] SemML: Facilitating development of ML models for condition monitoring with semantics
Monitoring of the state, performance, quality of operations and other parameters of
equipment and production processes, which is typically referred to as condition monitoring …
equipment and production processes, which is typically referred to as condition monitoring …
Ontology reshaping for knowledge graph construction: applied on Bosch welding case
Automatic knowledge graph (KG) construction is widely used in industry for data integration
and access, and there are several approaches to enable (semi-) automatic construction of …
and access, and there are several approaches to enable (semi-) automatic construction of …
Scaling usability of ML analytics with knowledge graphs: exemplified with a Bosch welding case
Automated welding is heavily used in the automotive industry to produce car bodies by
connecting metal parts with welding spots. Modern welding solutions and manufacturing …
connecting metal parts with welding spots. Modern welding solutions and manufacturing …
Nanomine: A knowledge graph for nanocomposite materials science
Abstract Knowledge graphs can be used to help scientists integrate and explore their data in
novel ways. NanoMine, built with the Whyis knowledge graph framework, integrates diverse …
novel ways. NanoMine, built with the Whyis knowledge graph framework, integrates diverse …
MWO2KG and Echidna: Constructing and exploring knowledge graphs from maintenance data
Unstructured technical texts are a rich resource of engineering knowledge underutilised for
data analysis. Maintenance work orders (MWO), for example, capture valuable information …
data analysis. Maintenance work orders (MWO), for example, capture valuable information …
Towards ontology reshaping for KG generation with user-in-the-loop: applied to Bosch welding
Knowledge graphs (KG) are used in a wide range of applications. The automation of KG
generation is very desired due to the data volume and variety in industries. One important …
generation is very desired due to the data volume and variety in industries. One important …
Semantic Data Management in Data Lakes
In recent years, data lakes emerged as away to manage large amounts of heterogeneous
data for modern data analytics. One way to prevent data lakes from turning into inoperable …
data for modern data analytics. One way to prevent data lakes from turning into inoperable …
[HTML][HTML] A survey on semantic data management as intersection of ontology-based data access, semantic modeling and data lakes
In recent years, data lakes emerged as a way to manage large amounts of heterogeneous
data for modern data analytics. One way to prevent data lakes from turning into inoperable …
data for modern data analytics. One way to prevent data lakes from turning into inoperable …