Predicting quality of automated welding with machine learning and semantics: a Bosch case study
Manufacturing of car bodies heavily relies on demanding welding processes of joining body
parts together that introduce thousands of joining welding spots in each car. Quality …
parts together that introduce thousands of joining welding spots in each car. Quality …
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 …
ForestQB: enhancing linked data exploration through graphical and conversational UIs integration
This article introduces the Forest Query Builder (ForestQB), an innovative toolkit designed to
enhance the exploration and application of observational Linked Data (LD) within the field of …
enhance the exploration and application of observational Linked Data (LD) within the field of …
SemFE: Facilitating ML pipeline development with semantics
Machine learning (ML) based data analysis has attracted an increasing attention in the
manufacturing industry, however, many challenges hamper their wide spread adoption. The …
manufacturing industry, however, many challenges hamper their wide spread adoption. The …
Towards ontology resha** 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 …
ACORDAR: a test collection for ad hoc content-based (RDF) dataset retrieval
Ad hoc dataset retrieval is a trending topic in IR research. Methods and systems are evolving
from metadata-based to content-based ones which exploit the data itself for improving …
from metadata-based to content-based ones which exploit the data itself for improving …
MiCRon: Making sense of news via relationship subgraphs
Knowledge graphs (KGs) have been extensively used to annotate text, eg, news articles, in
order to enhance its comprehension by readers. This requires to map entities occurring in …
order to enhance its comprehension by readers. This requires to map entities occurring in …
Logics for Conceptual Data Modelling: A Review
PR Fillottrani, CM Keet - 2024 - drops.dagstuhl.de
Abstract Information modelling for databases and object-oriented information systems avails
of conceptual data modelling languages such as EER and UML Class Diagrams. Many …
of conceptual data modelling languages such as EER and UML Class Diagrams. Many …
Simplod: Simple SPARQL Query Builder for Rapid Export of Linked Open Data in the Form of CSV Files
A Jares, J Klimek - The 23rd International Conference on Information …, 2021 - dl.acm.org
In the last decade, linked open data (LOD) became the de-facto highest standard of
publishing data on the Web, aka 5-star open data. One of the advantages of LOD is better …
publishing data on the Web, aka 5-star open data. One of the advantages of LOD is better …
Fusing AI and Visual Analytics for Interactive Knowledge Discovery in Heterogeneous Data
Y Tu - 2024 - search.proquest.com
With the development of technology, data is created and collected at an ever-increasing rate
with various formats, such as structured transition data, unstructured text data and semi …
with various formats, such as structured transition data, unstructured text data and semi …