ontology-based-smart-environment | An ontology based smart environment prototype
kandi X-RAY | ontology-based-smart-environment Summary
kandi X-RAY | ontology-based-smart-environment Summary
ontology-based-smart-environment is a Java library. ontology-based-smart-environment has no bugs, it has no vulnerabilities and it has low support. However ontology-based-smart-environment build file is not available and it has a Non-SPDX License. You can download it from GitHub.
This is a prototype for a smart environment. Assume that an environment consists of a set of sensors (e.g., light sensors, temperature sensors, etc.) and actuators (e.g., lights, air conditioners, etc.), the goal of a smart envrionment is adjusting the states of actuators given current sensor states such that the entire environment is in the most optimal state (e.g., energy saving, inhabitant satisfaction). The basic idea of this proposed system is using an ontology of an environment as knowledge base, defining a set of inference rules for environment optimization, converting state changes into data property assertions in the ontology, performing ontological reasoning tasks with a reasoner, and finally producing a set of new data property assertions which can be converted into commands to actuators to adjust the envrionment. The proposed system is implemented with OWL API, which offers a complete support to the latest OWL 2 ontologies. A Pellet reasoner ensures the consistency of an ontology and performs inference tasks with SWRL rules directly on the ontology. Decisions for actuators made by the reasoner, which are indeed the conclusions of triggered rules, are produced in the form of inferred data property assertions for individuals corresponding to the target actuators. In this case, each actuator is equipped with an attribute for its own target state with any possible state expressions instead of only “on” and “off”. The resulting solution will have a compact and lightweight structure, therefore a higher performance is expected. The demonstrator of the proposed system is implemented as a Web application based on Play Framework. The ontology of the environment as well as rules are predefined and saved at ./public/onto/ontology.owl. They can be edited through any OWL ontology editor (e.g., Protege). The state changes are simulated by user inputs from the Web UI and each change will affect the states of actuators listed in the Web app.
This is a prototype for a smart environment. Assume that an environment consists of a set of sensors (e.g., light sensors, temperature sensors, etc.) and actuators (e.g., lights, air conditioners, etc.), the goal of a smart envrionment is adjusting the states of actuators given current sensor states such that the entire environment is in the most optimal state (e.g., energy saving, inhabitant satisfaction). The basic idea of this proposed system is using an ontology of an environment as knowledge base, defining a set of inference rules for environment optimization, converting state changes into data property assertions in the ontology, performing ontological reasoning tasks with a reasoner, and finally producing a set of new data property assertions which can be converted into commands to actuators to adjust the envrionment. The proposed system is implemented with OWL API, which offers a complete support to the latest OWL 2 ontologies. A Pellet reasoner ensures the consistency of an ontology and performs inference tasks with SWRL rules directly on the ontology. Decisions for actuators made by the reasoner, which are indeed the conclusions of triggered rules, are produced in the form of inferred data property assertions for individuals corresponding to the target actuators. In this case, each actuator is equipped with an attribute for its own target state with any possible state expressions instead of only “on” and “off”. The resulting solution will have a compact and lightweight structure, therefore a higher performance is expected. The demonstrator of the proposed system is implemented as a Web application based on Play Framework. The ontology of the environment as well as rules are predefined and saved at ./public/onto/ontology.owl. They can be edited through any OWL ontology editor (e.g., Protege). The state changes are simulated by user inputs from the Web UI and each change will affect the states of actuators listed in the Web app.
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Support
ontology-based-smart-environment has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
ontology-based-smart-environment has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of ontology-based-smart-environment is current.
Quality
ontology-based-smart-environment has no bugs reported.
Security
ontology-based-smart-environment has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ontology-based-smart-environment has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
ontology-based-smart-environment releases are not available. You will need to build from source code and install.
ontology-based-smart-environment has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed ontology-based-smart-environment and discovered the below as its top functions. This is intended to give you an instant insight into ontology-based-smart-environment implemented functionality, and help decide if they suit your requirements.
- Entry point for OntoControl
- Adding a data property assertion
- Get a single instance of OntoControlApi
- Delete a data property assertion
- Display the current environment
- Creates a list of rules from a SWRLRule
- Get the current environment variable
- Generates an Individual from an OWL named individual
- Handles a working state change
- Returns the class with the given name
- Gets an individual
Get all kandi verified functions for this library.
ontology-based-smart-environment Key Features
No Key Features are available at this moment for ontology-based-smart-environment.
ontology-based-smart-environment Examples and Code Snippets
No Code Snippets are available at this moment for ontology-based-smart-environment.
Community Discussions
No Community Discussions are available at this moment for ontology-based-smart-environment.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ontology-based-smart-environment
You can download it from GitHub.
You can use ontology-based-smart-environment like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the ontology-based-smart-environment component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use ontology-based-smart-environment like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the ontology-based-smart-environment component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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