DogOnt - Ontology Modeling for Intelligent Domotic Environments

By Dario Bonino, Fulvio Corno. International Workshop on the Semantic Web, 2008

301 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/e4d99507bdae2896c22a7e1a6cf5350f10b5b17e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yong-Cheol Lee
2. Sijie Zhang
3. Mani B. Srivastava
4. David E. Culler
5. Pieter-Jan Pauwels

In Computer Vision and Pattern Recognition

1. Kamin Whitehouse
2. Yong-Cheol Lee
3. Mani B. Srivastava
4. David E. Culler
5. Sijie Zhang
6. Pieter-Jan Pauwels
7. Limin Wang
8. Robert D. Kleinberg

In Mechanical Engineering

1. Yong-Cheol Lee
2. Mani B. Srivastava
3. Sijie Zhang
4. Pieter-Jan Pauwels

Citations in the corpus

• Brick: Towards a Unified Metadata Schema For Buildings (2016, background): “Most of these ontologies focus on realizing specific applications like controlling things [14], energy management [22], or automated design and operation [27].”
• Semantic web technologies in AEC industry: A literature overview (2017, methodology): “This is inspired to some extent by the ontology-based household device models in DomoML [129] and the Domotic OSGi Gateway (Dog) Ontology (DogOnt) [130].”