86 citations · 295 across the 21 of their papers we have counts for
7 papers · 1 filter
Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case
Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng +5
Recently there has been a series of studies in knowledge graph embedding (KGE), which attempts to learn the embeddings of the entities and relations as numerical vectors and mathem…
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case
Baifan Zhou, Nikolay Nikolov, Zhuoxun Zheng +5
Industry 4.0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges in volume and variety. In that contex…
Towards Ontology Reshaping for KG Generation with User-in-the-Loop: Applied to Bosch Welding
Dongzhuoran Zhou, Baifan Zhou, Jieying Chen +3
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 appr…
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
Shuxin Li, Zixian Huang, Gong Cheng +2
A prominent application of knowledge graph (KG) is document enrichment. Existing methods identify mentions of entities in a background KG and enrich documents with entity types and…
On Expansion and Contraction of DL-Lite Knowledge Bases
Dmitriy Zheleznyakov, Evgeny Kharlamov, Werner Nutt +1
Knowledge bases (KBs) are not static entities: new information constantly appears and some of the previous knowledge becomes obsolete. In order to reflect this evolution of knowled…
Towards Analytics Aware Ontology Based Access to Static and Streaming Data (Extended Version)
Evgeny Kharlamov, Yannis Kotidis, Theofilos Mailis +10
Real-time analytics that requires integration and aggregation of heterogeneous and distributed streaming and static data is a typical task in many industrial scenarios such as diag…