Semantic technology and linked data are perceived by the IoT industry as beneficial technologies to enable semantic interoperability in the fragmented landscape of IoT ecosystems and platforms. However, most industrial practitioners are not familiar with these technologies and are not willing to learn them, as they believe the learning curve is too steep. IoT developers - whether device manufacturers or application developers - ask for rather simple ontologies that are easy to use, and clear guidelines on how to implement semantic web/ linked data solutions, possibly supported by standards development organizations (SDOs), whereas the information they can currently find on the Internet is overwhelming and perceived as not directly applicable. As we have often heard from industrial stakeholders in the past years, there is a clear need to bring semantic technology out of the research labs - where it has been successful so far - to be adopted and applied in operational environments by the IoT industry. Semantic Interoperability is a key issue on the Internet of Things, and several organizations develop ontologies to describe IoT devices and the data they exchange. (W3C SSN, W3C WoT, ETSI SmartM2M, ETSI ISG CIM, BAC.net, KNX, BRICK, …). We encourage these organizations to submit papers about their work.
The main objective of this workshop is to bring SDOs and industrial practitioners in IoT with an interest in semantic interoperability together with the strong and successful research community at IoT 2018 to discuss current trends and challenges in Semantic Interoperability and Standardization in IoT.
The first edition of SIS-IoT was successfully held at SEMANTiCS 2017 during half a day. Five papers were presented, and there were approximately 25 attendees.
The workshop will take place October 15th 2018, morning
| 9:00-9:15 | Introduction to SIS-IoT 2018. (slides) | |
| 9:15-10:00 | Keynote | Krzysztof Janowicz, SOSA for Social Sensing. (see abstract)Social sensing and related ideas utilize a sensor-observation framework to model data actively or passively emitted by citizens. In this talk, I will briefly review the field, explain how and why the new W3C/OGC SOSA ontology can be used for social sensing, and close with examples for how we can learn about the semantics of places and human activities via social sensing. |
| 10:00-10:30 | Long paper | Rami Belkaroui, Christophe Nicolle and Aurélie Bertaux. Towards Events Ontology Based on Data Sensors Network for Viticulture Domain. (BibTeX) (see abstract)Wine Cloud project is the first "Big Data" platform on the french viticulture value chain. The aim of this platform is to provide a complete traceability of the life cycle of the wine, from the winegrower to the consumer. In particular, Wine Cloud may qualify as an agricultural decision platform will be used for vine life cycle management in order to predict the occurrence of major risks (vine diseases, grape vine pests, physiological risks, fermentation stoppage, oxidation of vine, etc...). Also to make wine production more rational by offering winegrower a set of recommendation regarding their strategy's of production development.The proposed platform "Wine Cloud" is based on heterogeneous sensors network (agricultural machines, plant sensors and measuring stations) deployed throughout a vineyard. These sensors allow for capturing data from the agricultural process and remote monitoring vineyards in the Internet of Things (IoT) era. However, the sensors data from different source is hard to work together for lack of semantic. Therefore, the task of coherently combining heterogeneous sensors data becomes very challenging. The integration of heterogeneous data from sensors can be achieved by data mining algorithms able to build correlations. Nevertheless, the meaning and the value of these correlations is difficult to perceive without highlighting the meaning of the data and the semantic description of the measured environment. In order to bridge this gap and built causality relationships form heterogeneous sensor data, we propose an ontology-based approach, that consists in exploring heterogeneous sensor data (light, temperature, atmospheric pressure, etc) in terms of ontologies enriched with semantic meta-data describing the life cycle of the monitored environment. |
| 10:30-11:00 | Break | |
| 11:00-11:30 | Long paper | Maxime Lefrançois. RDF Presentation and Correct Content Conveyance for Legacy Services and the Web of Things. (BibTeX - slides) (see abstract)RDF aims at being the universal abstract data model for structured data on the Web. However, the vast majority of web services consume and expose non-RDF data, and it is unlikely that all these services be converted to RDF one day. This is especially true for sensors and other devices in the Web of Things, as most RDF formats are verbose while constrained devices prefer to consume and expose data in concise formats. In this paper, we propose an approach to make these services and things reach semantic interoperability, while letting them the freedom to use their preferred formats. Our approach is rooted in the Web's architectural principles and the linked data principles, and relies on the definition of RDF presentations, which describe the link between RDF graphs and their representations. We introduce the RDF Presentation ontology (RDFP) that can be used to model inputs and outputs of procedures of the new Semantic Sensor Network ontology (SOSA/SSN), and inputData and outputData of interaction patterns of things in the W3C WoT Thing Description ontology. We then propose practical solutions for web agents to be able to discover how a message content can be interpreted as RDF, generated from RDF, or validated, with different Web interaction protocols. |
| 11:30-11:50 | Short paper | Michele Blank, Haifa Lahbaiel, Sebastian Kaebisch and Harald Kosch. Role Models and Lifecycles in IoT and their Impact on the W3C WoT Thing Description. (BibTeX - slides) (see abstract)The W3C Web of Things (WoT) is introduced as a larger context of the Internet of Things (IoT). It provides standards for communication and interaction with Things in the IoT in order to address IoT cross-domain and cross-platform interoperability problems and reduce its fragmentation. WoT uses a formal interface description called Thing Description (TD) which describes the offerings of Things to allow the interaction in between Things. Although Things undergo changes with regard to their physical and/or software components and specifications during their lifetime, the architectural approach of WoT misses the lifecycle aspect in the TD. The static nature of the current TD remains contradictory with the dynamic evolution of Things. This work researches the lifecycle aspect for Things in the IoT and develops a lifecycle approach aligned with the WoT paradigm. A study about the different stakeholders influencing the Things was conducted to build a role model. These two concepts were combined to develop a versioning mechanism for a TD through the lifecycle of a Thing. |
| 11:50-12:10 | Short paper | Sergio José Rodríguez Méndez. Modeling Actuations in BCI-O: A Context-based Integration of SOSA and IoT-O. (BibTeX - slides) (see abstract)Recent technological developments in Brain-Computer Interfaces (BCI) will largely enable BCI as a powerful, natural and intuitive mainstream human-computer interaction (HCI) in real-world activities, especially throughout actuators connected to the Internet. As a type of sensor-actuator system, BCI will integrate novel interfaces that will be fully interoperating with IoT-based systems. An ontological metadata overlay for BCI systems in real-world applications is defined in the BCI Ontology (BCI-O), which formalizes and integrates BCI-domain-specific Sense and Actuation Models along with a novel Context Model for describing any kind of real/virtual environments. This paper presents the design principle of BCI-O's Actuation Model, which integrates SOSA and SAN (IoT-O) axioms for actuations and actuators along with the BCI-O’s Context Model. This model will become relevant in the degree as context-based semantic interoperability will become a core pre-requisite for any context-aware BCI actuation application with real-time collaboration in IoT environments. |
| 12:10-12:30 | Discussion |
University of California, Santa Barbara
Keynote: SOSA for Social Sensing
Abstract: Social sensing and related ideas utilize a sensor-observation framework to model data actively or passively emitted by citizens. In this talk, I will briefly review the field, explain how and why the new W3C/OGC SOSA ontology can be used for social sensing, and close with examples for how we can learn about the semantics of places and human activities via social sensing.
Bio: Krzysztof Janowicz is an Associate Professor for Geographic Information Science and Geoinformatics at the Geography Department of the University of California, Santa Barbara, USA. He is the program chair of the Cognitive Science Program, associate director of the Center for Spatial Studies, one of two Editors-in-Chief of the Semantic Web journal, a Faculty Research Affiliate of the Center for Information Technology and Society, and the community leader of the 52° North semantics community. Finally, he is running the STKO Lab which investigates the role of space and time for knowledge organization. Before, he was an Assistant Professor at the GeoVISTA Center, Department of Geography at the Pennsylvania State University, USA. Before moving to the US, he was working as postdoctoral researcher at the Institute for Geoinformatics (ifgi), University of Münster in Germany for the international research training group on Semantic Integration of Geospatial Information and the Münster Semantic Interoperability Lab (MUSIL). Methodologically, his niche is the combination of theory-driven (e.g., semantics) and data-driven (e.g., data mining) techniques.
Relevant topics of interest include the use and development of (ontology) standards for solving semantic interoperability issues along the following lines:
We invite research papers and demonstration papers, either in long (16 pages) or short (8 pages) format.
TNO, NL
University of Innsbruck, Austria
Ontology Engineering Group, Universidad Politécnica de Madrid, Spain
MINES Saint-Étienne, France