A-MaGe: Atomic Mashup Generator for the Web of Things

Ege Korkan, Fady Salama, Sebastian Kaebisch, Sebastian Steinhorst

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Individually, Internet of Things (IoT) devices are often not able to achieve complex functionalities and, therefore, need to be composed together into useful mashups. However, given the current fragmentation of the IoT domain, designing a mashup is still a manual task that is time-consuming and error-prone. The introduction of the Thing Description (TD) from the World Wide Web Consortium (W3C) is meant to facilitate the interoperability between IoT devices and platforms by providing a standardized format to describe the network interfacing of entities, called Things, participating in the Web of Things (WoT). Furthermore, the System Description (SD) extension introduces the notion of Atomic Mashups (AMs), small mashup building blocks that are easier to design. However, designing AMs remains a manual task and, given the rising complexity of IoT devices, manually exploring the resulting design space is infeasible. In this paper, we introduce A-MaGe: a method and its open-source implementation that takes the TDs as an input and uses predefined templates, user-configurable rules, semantic annotation filtering and natural language processing to automatically explore and reduce the design space. SD-compliant UML Sequence Diagrams of the resulting mashups are presented to the human agent for further selection to generate the SD of the mashup as well as implementation code based on the W3C WoT Scripting API. We show that the generation process is fast, allowing multiple iterations by the human agent to increase reduction and we evaluate the filtering power of different filters and constraints. Thus, in combination with the TD standard, our method ensures easy composition of services in heterogeneous environments.

Original languageEnglish
Title of host publicationWeb Engineering - 21st International Conference, ICWE 2021, Proceedings
EditorsMarco Brambilla, Richard Chbeir, Flavius Frasincar, Ioana Manolescu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages320-327
Number of pages8
ISBN (Print)9783030742959
DOIs
StatePublished - 2021
Event21st International Conference on Web Engineering, ICWE 2021 - Virtual, Online
Duration: 18 May 202121 May 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12706 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Web Engineering, ICWE 2021
CityVirtual, Online
Period18/05/2121/05/21

Keywords

  • Mashup composition
  • Web of Things

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