KnoesisKnowledgeGraph

From Knoesis wiki
Revision as of 17:31, 28 March 2018 by Amelie (Talk | contribs) (→‎Publications)

Jump to: navigation, search

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

Talks

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

Publications

  • A. Sheth, S. Perera, S. Wijeratne, and K. Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. Proceedings of the 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany. ISBN: 978-1-4503-4951-2/17/08.
  • Vinh Nguyen, Olivier Bodenreider, and Amit Sheth. "Don't like RDF reification?: making statements about statements using singleton property." Proceedings of the 23rd international conference on World wide web. ACM, 2014.
  • Gunaratna, K., Thirunarayan, K., & Sheth, A. P. (2015, January). FACES: Diversity-Aware Entity Summarization Using Incremental Hierarchical Conceptual Clustering. In AAAI (pp. 116-122).
  • Gunaratna, K., Thirunarayan, K., Sheth, A., & Cheng, G. (2016, May). Gleaning types for literals in rdf triples with application to entity summarization. In International Semantic Web Conference (pp. 85-100). Springer, Cham.
  • Gunaratna, Kalpa, et al. "Relatedness-based multi-entity summarization." IJCAI: proceedings of the conference. Vol. 2017. NIH Public Access, 2017.
  • Shekarpour, S., Marx, E., Auer, S. & Sheth, A. (2017). RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem. 31st AAAI Conference on Artificial Intelligence, San Francisco, California.
  • Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit Sheth. Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case. 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, 2017, pp. 666-675. doi: 10.1109/BigData.2017.8257982
  • Sarasi Lalithsena, Pavan Kapanipathi and Amit Sheth. Harnessing relationships for domain-specific subgraph extraction: A recommendation use case. 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, 2016, pp. 706-715. doi: 10.1109/BigData.2016.7840663
  • Amelie Gyrard, Martin Serrano, Ghislain Atemezing. Semantic Web Methodologies, Best Practices and Ontology Engineering Applied to Internet of Things. IEEE World Forum on Internet of Things (WF-IoT), Milan, Italy, December 14-16, 2015
  • Amelie Gyrard, Soumya Kanti Datta Christian Bonnet. A survey and analysis of ontology-based software tools for semantic interoperability in IoT and WoT landscapes. IEEE 4th World Forum on Internet of Things (WF-IoT), 2018
  • Amelie Gyrard, Ghislain Atemezing, Christian Bonnet, Karima Boudaoud and Martin Serrano. Reusing and Unifying Background Knowledge for Internet of Things with LOV4IoT. 4rd International Conference on Future Internet of Things and Cloud (FiCloud 2016), 22-24 August 2016, Vienna, Austria
  • Amelie Gyrard, Christian Bonnet, Karima Boudaoud and Martin Serrano. LOV4IoT: A second life for ontology-based domain knowledge to build Semantic Web of Things applications

4rd International Conference on Future Internet of Things and Cloud (FiCloud 2016), 22-24 August 2016, Vienna, Austria

Projects or Tools

  • Contextualized Knowledge Graph (CKG) community

Online community discussion forum ckg-community@googlegroups.com

  • LOV4IoT project: Ontology catalog for the Internet of Things which comprises an extension for healthcare.
  • PerfectO project: Ontology quality and best practices

Team

Faculty:

External Collaboration:

Post-doc:

Graduate Students:

Alumni:

Retrieved from "https://wiki.aiisc.ai/index.php?title=KnoesisKnowledgeGraph&oldid=11453"