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Large-scale semantic integration of linked data: A survey
A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …
currently available and this number grows rapidly. However, the major target of Linked Data …
Data ecosystems: Sovereign data exchange among organizations (Dagstuhl Seminar 19391)
This report documents the program and the outcomes of Dagstuhl Seminar 19391``Data
Ecosystems: Sovereign Data Exchange among Organizations''. The goal of the seminar was …
Ecosystems: Sovereign Data Exchange among Organizations''. The goal of the seminar was …
Scaling up knowledge graph creation to large and heterogeneous data sources
RDF knowledge graphs (KG) are powerful data structures to represent factual statements
created from heterogeneous data sources. KG creation is laborious and demands data …
created from heterogeneous data sources. KG creation is laborious and demands data …
A context-independent ontological linked data alignment approach to instance matching
Linking data by finding matching instances in different datasets requires considering many
characteristics, such as structural heterogeneity, implicit knowledge, and URI (Uniform …
characteristics, such as structural heterogeneity, implicit knowledge, and URI (Uniform …
Transforming heterogeneous data into knowledge for personalized treatments—a use case
Big data has exponentially grown in the last decade; it is expected to grow at a faster rate in
the next years as a result of the advances in the technologies for data generation and …
the next years as a result of the advances in the technologies for data generation and …
Smart-contract enabled decentralized knowledge fusion for blockchain-based conversation system
Abstract Knowledge fusion can be used for global knowledge sharing and maintenance,
and it has proven to benefit the performance of conversation systems. In the process of …
and it has proven to benefit the performance of conversation systems. In the process of …
[PDF][PDF] A knowledge graph based integration approach for industry 4.0
I Grangel-González - 2019 - researchgate.net
The fourth industrial revolution, Industry 4.0 (I40) aims at creating smart factories employing
among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial …
among others Cyber-Physical Systems (CPS), Internet of Things (IoT) and Artificial …
MapSDI: A scaled-up semantic data integration framework for knowledge graph creation
Semantic web technologies have significantly contributed with effective solutions for the
problems of data integration and knowledge graph creation. However, with the rapid growth …
problems of data integration and knowledge graph creation. However, with the rapid growth …
To extend or not to extend? Context-specific corpus enrichment
An agent in pursuit of a task may work with a corpus of documents with linked subjective
content descriptions. Faced with a new document, an agent has to decide whether to include …
content descriptions. Faced with a new document, an agent has to decide whether to include …
Summarizing entity temporal evolution in knowledge graphs
Knowledge graphs are dynamic in nature, new facts about an entity are added or removed
over time. Therefore, multiple versions of the same knowledge graph exist, each of which …
over time. Therefore, multiple versions of the same knowledge graph exist, each of which …