Aparna Thuluva

• MS
• Researcher at Siemens

Industrial standards provide guidelines for data modeling to ensure interoperability between stakeholders of an industry branch (e.g., robotics). Most frequently, such guidelines are provided in an unstructured format (e.g., pdf documents) which hampers the automated validations of information objects (e.g., data models) that rely on such standards...

The evolution of IoT has revolutionized industrial automation. Industrial devices at every level such as field devices, control devices, enterprise level devices etc., are connected to the Internet, where they can be accessed easily. It has significantly changed the way applications are developed on the industrial automation systems. It led to the...

The Internet of Things (IoT) promises easy integration of connected physical devices at a large scale. Use of semantic technologies are widely acknowledged for this purpose as they enable devices to understand meaning of data being exchanged. W3C Web of Things (WoT) Working Group is standardizing Thing Description (TD) which is a machine-readable i...

The Internet of Things (IoT) promises easy integration of connected physical devices at a large scale. Use of semantic technologies are widely acknowledged for this purpose as they enable devices to understand meaning of data being exchanged. W3C Web of Things (WoT) Working Group is standardizing Thing Description (TD) which is a machine-readable i...

The Internet of Things (IoT) is on rise. More and more physical devices and their virtual shadows emerge and become accessible through IoT platforms. Marketplaces are being built to enable and monetize the access to IoT offerings, i.e., data and functions offered by platforms, things, and services. In order to maximize the usefulness of such IoT of...

Industry 4.0, also referred to as the fourth industrial revolution aims at mass customized production with low-cost and shorter production time. Automation Systems (ASs) used in the manufacturing processes should be flexible to meet the constantly changing needs of mass customized production. Low-effort engineering of an Automation System (AS) is a...

In the process of ontology management, it is important to be able to add or remove consequences, while preserving as much of the original ontology as possible. When these updates are made iteratively , this minimum change criterion is harder to satisfy. We propose a context-based method that stores the information about all the possible outcomes of...

COBRA is a tool for performing context-based reasoning in OWL ontologies, with an emphasis on its applications. COBRA is built on top of standard OWL reasoning tools, and uses the OWL-API, which makes it easy to use, maintain, and keep up-to-date with reasoning technologies. To understand the behaviour of COBRA, we must first explain the idea of co...