Last updated: April 2021
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Tutorial - Get AGRICULTURE Ontologies from LOV4IoT
(Web Service, Dump, and Gold Standard for Knowledge Extraction)

You can download the set of AGRICULTURE ontologies

You can download here the dump for AGRICULTURE ontologies (Latest release: November 2017)

Pros: you can get access to a set of ontologies to employ with Artificial Intelligence (AI) techniques such as ontology matching, Machine learning (ML), Natural Language Processing (NLP), etc.
Cons: you do not have access to the latest ontologies inserted (compared to our web service).

Automatically query the LOV4IoT RDF dataset to retrieve all AGRICULTURE Ontologies URL
Web Service Example

Click here to query this web service: http://lov4iot.appspot.com/perfectoOnto/getOntoDomain/?domain=Agriculture

Pros: Latest ontologies found are referenced within the web service.
Cons: In case the web service is down, use the dump repository provided above (or contact us to get access to the latest release upon request). Sometimes, oldest ontology URLs, are not maintained anymore, the URL can be dead.

You can retrieve all ontology URL with this web service. You just need to parse the result to get all ontology URLs.
Documentation for Web Services is here (if needed)

Result:

Gold Standard Key Terms: Knowledge Extraction on AGRICULTURE Ontologies

You can compare automatic knowledge extraction, ontology matching results to our gold standard (built semi-automatically with a manual check).
Gold standard applied to AGRICULTURE ontologies:

References - Please Remember to Cite our Work

  • 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. Journal Impact Factor: 9.515
  • 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
  • How to understand better "smart vehicle"? Knowledge Extraction for the Automotive Sector Using Web of Things.
    Mahda Noura, Amelie Gyrard, Benjamin Klotz, Raphael Troncy, Soumya Datta, and Martin Gaedke.
    Book: Semantic IoT: Theory and Applications - Interoperability, Provenance and Beyond. Springer 2021
  • PerfectO: An Online Toolkit for Improving Quality, Accessibility, and Classification of Domain-based Ontologies.
    Amelie Gyrard, Ghislain Atemezing, and Martin Serrano.
    Book: Semantic IoT: Theory and Applications - Interoperability, Provenance and Beyond. Springer 2021
  • Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary [Gyrard et al. 2018]
  • Knowledge Extraction for the Web of Things (KE4WoT) Challenge website: Co-located with The Web Conference 2018 (WWW 2018)