Darko Andročec

Ontologies for Platform as Service APIs Interoperability

Abstract Ontologies can be used to describe common cloud functionalities and enable common terminology to assist in cloud interoperability. In this work, we have developed the ontology for resources and operations and the ontology of interoperability problems. The aim is to clearly describe and categorize the existing functionalities, features and specificities of commercial platform asaservice offers. The first ontology also provides data type mappings among different Paa Sstorages and cross-Paa Sdata types used in inputs and outputs of the remote APIoperations to provideacommon layer for information exchange and data migration among different Paa Sproviders. The ontologies were evaluated by tools and by human experts. Furthermore, the ontologies were used in cloud interoperability prototype to show their practical applicability.

Interoperability and lightweight security for simple IoT devices

The Semantic Web can be used to enable the interoperability of IoT devices and to annotate their functional and nonfunctional properties, including security and privacy. In this paper, we will show how to use the ontology and JSON-LD to annotate connectivity, security and privacy properties of IoT devices. Out of that, we will present our prototype for a lightweight, secure application level protocol wrapper that ensures communication consistency, secrecy and integrity for low cost IoT devices like the ESP8266 and Photon particle.

Overcoming Service-Level Interoperability Challenges of the IoT

The Internet of Things (IoT) is a complex ecosystem of devices, solutions, services and applications. IoT is highly heterogeneous because devices focus on proprietary technology and interfaces. To realize its full value, interoperability of ‘things’ becomes an important component of the ecosystem, which must be satisfactorily achieved. At present, however, it is impossible to manage individually a vast amount of different IoT devices and their application programming interfaces (APIs). Interoperability is therefore one of the main problems of the IoT paradigm. Much of the existing IoT interoperability research elaborates on techniques and methods to achieve interoperability. Multiple IoT standards exist today and new ones are being created. Different IoT standards compete; and a generally globally accepted standard does not currently exist. There are, in fact, many unsolved interoperability issues occurring at different levels, including data, service, network and application. This chapter focuses on service-level IoT interoperability problems and solutions. It reviews the use case of possible interoperability resolutions. The chapter also identifies future research problems related to IoT service-level interoperability.

Thing as a Service Interoperability: Review and Framework Proposal

Internet of things (IoT) is global network of interconnected entities aimed at automating our lives. However, a number of IoT devices and systems have been created in parallel and there is no universal coding language and communication protocol. For this reason, IoT interoperability is a complex research and practical problem. In this work, we review existing work about IoT interoperability and IoT ontologies. Next, we propose a framework for things as a service interoperability that includes composition of different sensors and actuators at service level, and their integration with existing cloud services. The proposed framework consists of four main layers: virtual sensor, service, semantic, and interoperability layer. We plan to use the proposed framework to achieve service-level interoperability of smart things that will be semantically annotated in order to describe their functional and non-functional properties (with special emphasis on security and privacy).

Creating hybrid software engineering methods by means of metamodels

Two dominant techniques for software development used nowadays are the classical software development methods (e.g. RUP, waterfall) and the agile approaches (e.g. Scrum, XP). One can also use hybrid methods, because both approaches have some benefits. In this paper we show how to build new hybrid software engineering methods by means of metamodels. We describe metamodels of the classical waterfall method and extreme programming and create their common metamodel. This common metamodel is then used as a foundation for new hybrid method development and development of workflow of its implementation.

The Ontologically based Model for the Integration of the IoT and Cloud ERP Services.

On-premise and Cloud ERP systems have become a backbone of almost all businesses. Another recent trend currently in focus of both industry and academy is Internet of Things. The integration of Cloud ERP and the Internet of Things (IoT) should be looked as a new shift in business effectiveness and will have a great momentum in future. In this work, we propose the ontologically based model for the integration of the IoT and Cloud ERP systems by using Semantic Web services. To semantically annotate things as services, we plan to use recently published W3C’s SSN and SOSA ontologies. Furthermore, we plan to extend mentioned ontologies to include classification and descriptions of Cloud ERP APIs. Our integration model proposes usage of Semantic web services and AI planning technique to semi-automatically compose IoT and Cloud ERP services.