Add to ORKGWe propose a method for entity matching that takes into account the characteristic complex properties of decentralized cultural heritage data sources, where multiple data sources may contain duplicates within and between sources. We apply the proposed method to historical data from the Amsterdam City Archives using several clustering algorithms and evaluate the results against a partial ground truth. We also evaluate our method on a semi-synthetic data set for which we have a complete ground truth. The results show that the proposed method for entity matching performs well and is able to handle the complex properties of historical data sources
As interest in provenance grows among the Semantic Web community, it is recognized as a useful tool ...
Many text mining tasks, such as clustering, classification, retrieval, and named entity linking, ben...
The entity-oriented description of the world is a major, current trend motivated by the need for sem...
We propose a method for entity matching that takes into account the characteristic complex propertie...
Semantic web technology is increasingly being used in projects of humanities researchers, such as hi...
In the domain of the Dutch cultural heritage various data sets describe different aspects of life du...
The problem of entity resolution is central in the field of Digital Humanities. It is also one of th...
In this paper, we revisit our method for reconstructing the primary sources of documents, which make...
Entity disambiguation is a widely investigated topic, and many matching algorithms have been propose...
The goal of entity matching in knowledge graphs is to identify sets of entities that refer to the sa...
With the increasing demand for intelligent services, knowledge graph technologies have attracted muc...
Knowledge graphs are repositories providing factual knowledge about entities. They are a great sourc...
How to identify those equivalent entities between knowledge graphs (KGs), which is called Entity Ali...
Finding and linking different appearances of the same entity in an open Web setting is one of the pr...
Instance matching (IM) is the process of matching instances across Knowledge Bases (KBs) that refer ...
As interest in provenance grows among the Semantic Web community, it is recognized as a useful tool ...
Many text mining tasks, such as clustering, classification, retrieval, and named entity linking, ben...
The entity-oriented description of the world is a major, current trend motivated by the need for sem...
We propose a method for entity matching that takes into account the characteristic complex propertie...
Semantic web technology is increasingly being used in projects of humanities researchers, such as hi...
In the domain of the Dutch cultural heritage various data sets describe different aspects of life du...
The problem of entity resolution is central in the field of Digital Humanities. It is also one of th...
In this paper, we revisit our method for reconstructing the primary sources of documents, which make...
Entity disambiguation is a widely investigated topic, and many matching algorithms have been propose...
The goal of entity matching in knowledge graphs is to identify sets of entities that refer to the sa...
With the increasing demand for intelligent services, knowledge graph technologies have attracted muc...
Knowledge graphs are repositories providing factual knowledge about entities. They are a great sourc...
How to identify those equivalent entities between knowledge graphs (KGs), which is called Entity Ali...
Finding and linking different appearances of the same entity in an open Web setting is one of the pr...
Instance matching (IM) is the process of matching instances across Knowledge Bases (KBs) that refer ...
As interest in provenance grows among the Semantic Web community, it is recognized as a useful tool ...
Many text mining tasks, such as clustering, classification, retrieval, and named entity linking, ben...
The entity-oriented description of the world is a major, current trend motivated by the need for sem...