Medical information from various sources has to be integrated and compiled together to provide a better understanding of a patient’s health. Mappings between different standards and domain ontologies are constructed to ...

Open Information Extraction (Open IE) is the task of extracting triples (subject, predicate, object) from plain text. Tools that perform these extractions are called Open IE extractors. While benchmarks to evaluate the ...

We address the problem of finding a textual summary of facts within a path in a knowledge graph.Knowledge graphs are increasingly used in search engines and store data in the form of a Semantic Web structure making ...

In Semantic Web languages, such as RDF and OWL, a binary relation is represented by the property, which links two entities or Individuals. Binary relations cannot be used to capture the relation between more than two ...

With the explosion of healthcare information, there has been a tremendous amount of heterogeneous Textual Medical Knowledge(TMK), which plays an essential role in healthcare information systems. Existing works for integrating ...

Ontology Learning is the semi-automatic and automatic extraction of ontology from a natural language text, using text-mining and information extraction. Each ontology primarily represents some concepts and their corresponding ...

Building an ontology is not only a time-consuming process, but it is also confusing, especially for beginners and the inexperienced. Although ontology developers can take the help of domain experts in building an ontology, ...

Knowledge graphs as a form of data representation have been successfully applied for various applications. They are known to capture the structural complexity and semantic relationships of data. Our goal is to develop an ...