Entity Resolution (ER), a core task of Data Integration, detects different entity profiles that
correspond to the same real-world object. Due to its inherently quadratic complexity, a series …

In the context of recent debates about the 'data deluge'and the future of empirical sociology,
this article turns attention to current activities aimed at achieving far-reaching …

Links build the backbone of the Linked Data Cloud. With the steady growth in size of
datasets comes an increased need for end users to know which frameworks to use for …

Abstract In Linked Data, the use of owl: sameAs is ubiquitous in interlinking data-sets. There
is however, ongoing discussion about its use, and potential misuse, particularly with regards …

Entity Resolution (ER) is the task of detecting different entity profiles that describe the same
real-world objects. To facilitate its execution, we have developed JedAI, an open-source …

For a medical treatment with IoT-based facilities, physicians always have to pay much more
attentions to the raw medical records of target patients instead of directly making medical …

In recent years, lots of knowledge graphs built from Wikipedia, the largest multilingual online
encyclopedia, have been published on the Web to support various applications. However …

Efficiency techniques are an integral part of Entity Resolution, since its infancy. In this
survey, we organized the bulk of works in the field into Blocking, Filtering and hybrid …

The YAM++ system is a self configuration, flexible and extensible ontology matching system.
The key idea behind YAM++ system is based on machine learning and similarity flooding …

Abstract The Linked Data paradigm builds upon the backbone of distributed knowledge
bases connected by typed links. The mere volume of current knowledge bases as well as …