Difference between revisions of "KnoesisKnowledgeGraph"

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* [https://link.springer.com/chapter/10.1007/978-3-319-69182-4_16 Constructing Knowledge Graphs of Depression] Huang et al. 2017
 
* [https://link.springer.com/chapter/10.1007/978-3-319-69182-4_16 Constructing Knowledge Graphs of Depression] Huang et al. 2017
 
* [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572519/ Development and Evaluation of an Obesity Ontology for Social Big Data Analysis] Kim et al. 2017
 
* [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5572519/ Development and Evaluation of an Obesity Ontology for Social Big Data Analysis] Kim et al. 2017
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* [https://iswc2017.semanticweb.org/program/keynotes/keynote-taylor/ Jamie Taylor's Keynote at ISWC 2017]. He manages the Schema Team for Google’s Knowledge Graph.
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* [http://delivery.acm.org/10.1145/3190000/3186727/a62-liu.pdf?ip=130.108.104.15&id=3186727&acc=ACTIVE%20SERVICE&key=1D8E1CA5B8D7D8DD%2E1582E3CD7560B369%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1560523974_34239d1fa2b21861505466b5ddd89bfa Graph Summarization Methods and Applications: A Survey] Liu et al. 2018 ACM Computing Surveys
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* [https://aic.ai.wu.ac.at/~polleres/publications/bona-etal-DagstuhlReport18371.pdf Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web (Dagstuhl Seminar 18371)] Bonatti et al. 2019
 
* Google Knowledge Graph:
 
* Google Knowledge Graph:
 
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{{#ev:youtube|https://www.youtube.com/watch?v=mmQl6VGvX-c|500|}}
 
{{#ev:youtube|https://www.youtube.com/watch?v=mmQl6VGvX-c|500|}}
 
</center>
 
</center>
 
* [https://iswc2017.semanticweb.org/program/keynotes/keynote-taylor/ Jamie Taylor's Keynote at ISWC 2017]. He manages the Schema Team for Google’s Knowledge Graph.
 
* [http://delivery.acm.org/10.1145/3190000/3186727/a62-liu.pdf?ip=130.108.104.15&id=3186727&acc=ACTIVE%20SERVICE&key=1D8E1CA5B8D7D8DD%2E1582E3CD7560B369%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1560523974_34239d1fa2b21861505466b5ddd89bfa Graph Summarization Methods and Applications: A Survey] Liu et al. 2018 ACM Computing Surveys
 
* [https://aic.ai.wu.ac.at/~polleres/publications/bona-etal-DagstuhlReport18371.pdf Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web (Dagstuhl Seminar 18371)] Bonatti et al. 2019
 

Revision as of 14:48, 14 June 2019

Knoesis Knowledge Graph Platform (KKGP), Personalized Health Knowledge Graph (PHKG)

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
CKG.png

Knowledge Graphs (KG) for Applications

Healthcare KG

Leaders: Dr. Saeedeh Shekarpour, Dr. Amelie Gyrard

Internet of Things (IoT) KG

Leader: Dr. Amelie Gyrard


Linked Open Vocabularies for Internet of Things (LOV4IoT), an ontology catalog for Internet of Things, references ontology-based IoT projects:
- Almost 500 ontology-based projects for IoT, smart cities, etc.
- More than 20 domains relevant to IoT referenced such as building, smart grid, smart agriculture, robotics, smart transportation, healthcare, etc.
- We provide the LOV4IoT ontology catalog as an HTML view.
- We also provide the LOV4IoT RDF dataset.
LOV4IoT is an extension of the LOV (Linked Open Vocabulary) catalog.

  • Demo:



Knowledge Extraction for the Web of Things (KE4WoT) Challenge co-located with The Web Conference 2018 (WWW 2018)

Disaster Management KG

Leader: Hussein Al-Olimat, Shruti Kar

NSF Project: Hazards SEES: Social and Physical Sensing Enabled Decision Support for Disaster Management and Response

Some publications:

  1. Shruti Kar, Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, and Srinivasan Parthasarathy. "D-record: Disaster Response and Relief Coordination Pipeline". In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). ACM, 2018.

Security KG

Security Toolbox: Attacks and Countermeasures (STAC) is a project to assist developers in: 1) Designing secured applications or architectures. 2) Being aware of main security threats. 3) Exploring security in various technologies such as: Sensor Networks, Cellular Networks (2G, 3G, 4G), Wireless Networks (Wi-Fi, Wimax, Zigbee, Bluetooth), Mesh/M2M/MANET, Network Management, Web Applications, Cryptography, Attacks & Countermeasures, Security Properties (e.g., authentication, integrity), Etc.

  • Demo:


Teaching: Advanced Topics in Semantic Web

Some slides related to KG:

  • Knowlege Graphs (KG) - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Amelie Gyrard, 11 September 2018

  • Contextualized Knowlege Graphs from two perspectives Semantic Web and Graph Database with an application in PubChem - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Vinh Nguyen, 25 October 2018

  • Health Knowlege Graphs (KG) - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Amelie Gyrard, 2 October 2018

  • Linked Open Data (LOD) - Advanced Semantic Web Class, Knoesis Lab, Wright State University - Amelie Gyrard, 2 October 2018

Event Organisation or PC members

Contextualized Knowledge Graphs (CKG) Workshop at ISWC 2018

Contextualized Knowledge Graphs (CKG) Workshop co-located with International Semantic Web Conference (ISWC 2018)

Tutorial at CIKM2018

Graphs: In Theory and Practice co-located with 26th ACM International Conference on Information and Knowledge Management (CIKM)

Publication

Knowledge Extraction for the Web of Things (KE4WoT) Challenge at WWW 2018

Knowledge Extraction for the Web of Things (KE4WoT) Challenge co-located with The Web Conference 2018 (WWW 2018)

PC members for KG events

Talks

  • Talk at Ontolog Community: CKG Portal: A knowledge publishing proposal for open knowledge network - Vinh Nguyen, 28 March 2018

  • Talk at Ontolog Community: Evolving Open Health Knowledge Network - Amit Sheth, 28 March 2018


Publications

  • Amelie Gyrard, Manas Gaur, Krishnaprasad Thirunarayan, Amit Sheth and Saeedeh Shekarpour. Personalized Health Knowledge Graph. 1st Workshop on Contextualized Knowledge Graph (CKG) co-located with International Semantic Web Conference (ISWC), 8-12 October 2018, Monterey, USA.

PhD Thesis

  • PhD Thesis: Domain-specific Knowledge Extraction from the Web of Data [Sarasi Lalithsena March 2018]

Vinh Nguyen PhD Slides:

Vinh Nguyen PhD Video:

Projects or Tools

  • Contextualized Knowledge Graph (CKG) community

Online community discussion forum ckg-community@googlegroups.com, https://groups.google.com/forum/#!forum/ckg-community/join

  • 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:

References