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== Introduction to Knowledge Graphs (KG) ==
 
== Introduction to Knowledge Graphs (KG) ==
  
[https://coggle.it/diagram/W0PHnq_5PV00kuQd/t/knowledge-graph-kg-sota The latest version can be seen here, and you can easily contribute to this MIndmap :)]
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[https://coggle.it/diagram/W0PHnq_5PV00kuQd/t/knowledge-graph-kg-sota The latest version can be seen here, and you can easily contribute to this Mindmap :)]
 
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[[File:Knowledge_Graph_KG_SOTA.png|300px|thumb|right| Knowledge Graphs are extensively used]]  
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[[File:Knowledge_Graph_KG_SOTA.png|1200px|thumb|center| Knowledge Graphs are extensively used (Screenshot June 2019)]]
  
 
== Using Knowledge Graphs (KG) for information processing ==
 
== Using Knowledge Graphs (KG) for information processing ==
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</center>
 
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* PhD Thesis: [http://knoesis.org/sites/default/files/Sujan_Dissertation.pdf Knowledge-driven implicit information extraction] [Sujan Perera 2016]
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<center>
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{{#ev:youtube|https://www.youtube.com/watch?time_continue=3&v=pbjJ1zb8ayY&feature=youtu.be|500|}}
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</center>
  
 
=== Knowledge Extraction from ontologies ===
 
=== Knowledge Extraction from ontologies ===
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<center>
 
<center>
 
{{#widget:SlideShare|id=95709648&doc=ke4wotchallengewww2018v4-180502145714|width=500|border=0}}
 
{{#widget:SlideShare|id=95709648&doc=ke4wotchallengewww2018v4-180502145714|width=500|border=0}}
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</center>
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=== Knowledge Graph Summarization ===
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* PhD Thesis: [http://knoesis.org/sites/default/files/Semantics-based%20Summarization%20of%20Entities%20in%20Knowledge%20Graphs.pdf Semantics-based summarization of entities in Knowledge Graphs] [Kalpa Gunaratna 2017]
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<center>
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{{#ev:youtube|https://www.youtube.com/watch?time_continue=3&v=1W_Td2L30Yc&feature=youtu.be|500|}}
 
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NSF Project: [http://wiki.knoesis.org/index.php?title=Social_and_Physical_Sensing_Enabled_Decision_Support&redirect=no Hazards SEES: Social and Physical Sensing Enabled Decision Support for Disaster Management and Response]
 
NSF Project: [http://wiki.knoesis.org/index.php?title=Social_and_Physical_Sensing_Enabled_Decision_Support&redirect=no Hazards SEES: Social and Physical Sensing Enabled Decision Support for Disaster Management and Response]
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[http://lov4iot.appspot.com/?p=lov4iot-disaster LOV4IoT-Disaster]
  
 
Some publications:
 
Some publications:
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=== PhD Thesis ===
 
=== PhD Thesis ===
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See above links for slides and videos as well:
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* PhD Thesis: [https://etd.ohiolink.edu/!etd.send_file?accession=wright1527202092744638&disposition=inline Domain-specific Knowledge Extraction from the Web of Data] [Sarasi Lalithsena March 2018]
 
* PhD Thesis: [https://etd.ohiolink.edu/!etd.send_file?accession=wright1527202092744638&disposition=inline Domain-specific Knowledge Extraction from the Web of Data] [Sarasi Lalithsena March 2018]
  
 
* PhD Thesis: [http://www.knoesis.org/sites/default/files/VinhNguyen_dissertation.pdf Semantic Web Foundations for Representing, Reasoning, and Traversing Contextualized Knowledge Graphs] [Vinh Nguyen 2017]
 
* PhD Thesis: [http://www.knoesis.org/sites/default/files/VinhNguyen_dissertation.pdf Semantic Web Foundations for Representing, Reasoning, and Traversing Contextualized Knowledge Graphs] [Vinh Nguyen 2017]
 
Vinh Nguyen PhD Slides:
 
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{{#widget:SlideShare|id=86296911&doc=dissertationdefensedec152017-180117171107|width=500|border=0}}
 
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Vinh Nguyen PhD Video:
 
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{{#ev:youtube|https://www.youtube.com/watch?time_continue=3&v=1uRaNnRo9CI&feature=youtu.be|500|}}
 
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== Projects or Tools ==
 
== Projects or Tools ==

Revision as of 17:09, 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

Introduction to Knowledge Graphs (KG)

The latest version can be seen here, and you can easily contribute to this Mindmap :)

Knowledge Graphs are extensively used (Screenshot June 2019)

Using Knowledge Graphs (KG) for information processing

Knowledge Extraction

Knowledge Extraction from ontologies

Automatic Knowledge Extraction to build Semantic Web of Things Applications

  • Mahda Noura, Amelie Gyrard, Sebastian Heil, Martin Gaedke.
  • IEEE Internet of Things (IoT) Journal 2019.
  • Impact factor: 5.863 in 2019

Concept Extraction from Web of Things Knowledge Bases

  • Mahda Noura, Amelie Gyrard, Sebastian Heil, and Martin Gaedke.
  • International Conference WWW/Internet, 2018
  • Outstanding Paper Award

Knowledge Extraction for the Web of Things (KE4WoT) Challenge

  • Co-located with International World Wide Web Conference (WWW) 2018
  • Amelie Gyrard, Mihaela Juganaru-Mathieu, Manas Gaur, Swati Padhee, Amit Sheth

Knowledge Graph Summarization

Contextualized Knowledge Graphs

Vinh Nguyen PhD Slides:

Vinh Nguyen PhD Video:

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

LOV4IoT-Disaster

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

See above links for slides and videos as well:

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