Artem Katasonov

Semantic Interoperability on the Internet of Things: The Semantic Smart Gateway Framework

Internet of Things should be able to integrate an extremely large amount of distributed and heterogeneous entities. To tackle heterogeneity, these entities will need to be consistently and formally represented and managed registered, aligned, composed and queried trough suitable abstraction technologies. Two distinct types of these entities are a sensing/actuating devices that observe some features of interest or act on some other entities call it smart entities, and b applications that utilize the data sensed from or sent to the smart entities call it control entities. The aim of this paper is to present the Semantic Smart Gateway Framework for supporting semantic interoperability between these types of heterogeneous IoT entities. More specifically, the paper describes an ontology as the key technology for the abstraction and semantic registration of these entities, towards supporting their automated deployment. The paper also described the alignment of IoT entities and of their exchanged messages. More important, the paper presents a use case scenario and a proof-of-concept implementation.

Towards ontology-driven development of applications for smart environments

In the environments where heterogeneous devices need to share information, utilize services of each other, and participate as components in various smart applications, it is common to rely on the advantages of the semantic data model and ontologies. Our work extends this approach so that also the process of software development for such environments is ontology-driven. The goals are to raise the level of abstraction of smart application development, to enable development by non-programmers, and to partially automate the development to make it easier and faster. In this paper, we describe the Smart Modeller that consists of 1) a design tool that enables the developer to graphically create a model of a smart space application and 2) a framework that provides core interfaces for extensions supporting both the model and ontology-driven development. These extensions enable: ontology-based creation of model elements, discovery and reuse of both the software components and partial models through a repository mechanism, and generation of executable programming code for models.

Semantic Interoperability on the Web of Things: The Semantic Smart Gateway Framework

The aim of this paper is to present authors proposal regarding semantic interoperability for interconnected and semantically coordinated smart entities in a Web of Things. More specific, the paper presents a use case scenario and requirements related to the semantic registration, coordination and retrieval of smart entities. Motivated by these, the paper accentuates the need for, and emphasizes, a framework of Semantic Smart Gateways (SSGF) in the Semantic Web of Things (SWoT), proposing an ontology learning and an ontology alignment method respectively.

Enabling non-programmers to develop smart environment applications

Smart environments are small worlds where various interconnected devices are continuously working to make inhabitants lives more comfortable. Given the variety of different views on what constitutes “more comfortable” and the variety of situations people experience, we believe that the inhabitants of a smart environment must be empowered to easily modify software applications running in it and to mash-up new applications when needed. The following properties are desired: a high level of abstraction in application design, on-the-fly development, flexibility with respect to adding new devices and software components, combination of task-based and opportunistic design processes, and an ability to define policies to restrict users from designing unsafe applications. In this paper, we present a novel framework for semantic software metadata and describe how utilizing it in our application development tool, Smart Modeller, enables non-programmer composition of smart environment applications.

Aligning Smart and Control Entities in the IoT

In our latest work, the problem of semantic interoperability for interconnected and semantically coordinated smart/control entities in a Semantic Web of Things has been explicated and a framework for Semantic Smart Gateways (SSGF) has been proposed. This paper aims to report on a proof-of-concept implementation of the core component of this framework which is the automatic alignment of smart/control entities’ semantic descriptions. More specific, the paper reports on a recent approach towards implementing a configurable, multilingual and synthesis-based ontology alignment tool that has been evaluated by the SEALS and OAEI initiatives.

ONTOLOGY-DRIVEN SOFTWARE ENGINEERING: BEYOND MODEL CHECKING AND TRANSFORMATIONS

This paper introduces a novel framework for Ontology-Driven Software Engineering. This framework is grounded on the prior related work that studied the interplay between the model-driven engineering and the ontological modeling. Our framework makes a contribution by incorporating a more flexible means for ontological modeling that also has a higher performance in processing, and by incorporating a wider range of ontology types into ODSE. As a result, it extends the power and speed of the classification and the model consistency checking ontological services enabled by the prior work, and brings new ontological services: semantic search in model repositories, three kinds of semi-automated model composition services: task-based, result-based, and opportunistic, and the policy enforcement service. The primary intended use for this framework is to be implemented as part of model-driven engineering tools to support software engineers. We describe our reference implementation of such a tool called Smart Modeller, and report on a performance evaluation of our framework carried out with the help of it.