KnoesisKnowledgeGraph

Knoesis Knowledge Graph (KKG) Description

In recent years, knowledge graphs (KGs) have been increasingly used by both academia and industry to incorporate semantics into various intelligent applications. However, the creation of these knowledge graphs are mainly done manually with the help of domain experts and/or by using structured knowledge sources such as Wikipedia. Kno.e.sis Knowledge Graph team works on different aspects to improve creation and consumption of knowledge graphs as given below:

• Contextualized knowledge graphs
• Bootstrap domain-specific knowledge graphs by leveraging existing knowledge sources
• Summarization of the knowledge graphs
• Leveraging knowledge graphs to improve NLP applications
• Dynamically evolve knowledge graphs for real-time events such as twitter campaigns
• Question answering on knowledge graphs
• Ontology quality and best practices
• Ontology methodology to reuse ontologies
• Ontology alignment
• Knowledge extraction from ontologies to reuse the domain knowledge already designed in previous domains.
• Semantic interoperability with a focus on ontologies

Event Organisation

• Contextualized Knowledge Graphs (CKG) Workshop co-located with International Semantic Web Conference (ISWC 2018)
• Knowledge Extraction for the Web of Things (KE4WoT) Challenge co-located with The Web Conference 2018 (WWW 2018)

Talks

• Talk at Ontology Form: Semantic Web foundation on representing, reasoning and traversing Contextual Knowledge Graphs - Vinh Nguyen, 28 March 2018
• Talk at Ontology Form: Evolving Open Health Knowledge Network - Amit Sheth, 28 March 2018

Team

Faculty:

• Amit Sheth

External Collaboration:

• Saeedeh Shakepoor

Post-doc:

• Amelie Gyrard

Graduate Students:

• Sarasi Lalithsena
• Manas Gaur
• Swati Padhee
• Joy Prakash Sain

Alumni:

• Kalpa Gunaratne
• Vinh Nguyen