Instance coreference resolution is an essential problem in studying semantic web, and it is
also critical for the implementation of web of data and future integration and application of …

Museums around the world have built databases with metadata about millions of objects,
their history, the people who created them, and the entities they represent. This data is …

Cervical cancer is the second most common type of cancer for women. Existing screening
programs for cervical cancer, such as Pap Smear, suffer from low sensitivity. Thus, many …

Topic models are widely used to thematically describe a collection of text documents and
have become an important technique for systems that measure document similarity for …

Ontology matching aims at identifying the correspondences between instances and data
properties of different ontologies. The use of data mining approach in matching ontology …

In the last years, thanks to the standardization of Semantic Web technologies, we are
experiencing an unprecedented production of data, published online as Linked Data. In this …

Due to the decentralized nature of the Semantic Web, the same real-world entity may be
described in various data sources with different ontologies and assigned syntactically …

Instance matching (IM) is the process of matching instances across Knowledge Bases (KBs)
that refer to the same real‐world object (eg, the same person in two different KBs). Several …

Many Internet of Things (IoT) applications can benefit from Social Web of Things (S-WoT)
methods that enable knowledge discovery and help solving interoperability problems. The …

This paper investigates the semantic modeling of smart cities and proposes two ontology
matching frameworks, called Clustering for Ontology Matching‐based Instances (COMI) and …