Commercial buildings have long since been a primary target for applications from a number of areas: from cyber-physical systems to building energy use to improved human interactions in built environments. While technological advances have been made in these areas, such solutions rarely experience widespread adoption due to the lack of a common descriptive schema which would reduce the now-prohibitive cost of porting these applications and systems to different buildings. Recent attempts have sought to address this issue through data standards and metadata schemes, but fail to capture the set of relationships and entities required by real applications. Building upon these works, this paper describes Brick, a uniform schema for representing metadata in buildings. Our schema defines a concrete ontology for sensors, subsystems and relationships among them, which enables portable applications. We demonstrate the completeness and effectiveness of Brick by using it to represent the entire vendor-specific sensor metadata of six diverse buildings across different campuses, comprising 17,700 data points, and running eight complex unmodified applications on these buildings.

https://dl.acm.org/doi/pdf/10.1145/2993422.2993577

Brick: Towards a Unified Metadata Schema For Buildings

A review of machine learning in building load prediction

Brick : metadata schema for portable smart building applications

Thank you for reading handbook of logic in artificial intelligence and logic programming. As you may know, people have look numerous times for their favorite books like this handbook of logic in artificial intelligence and logic programming, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some malicious bugs inside their laptop.

Handbook Of Logic In Artificial Intelligence And Logic Programming

Nowadays, the use of the Internet of Things (IoT) in diverse applications becomes very popular. Accordingly, a proliferation of objects with remote sensing, actuation, analysis, and sharing capabilities will be interconnected on top of heterogeneous communication networks. Their deployment contexts are continuously changed, which imply a change in their descriptions and characteristics. In addition, they are a fundamental source of a huge quantity of gathered data with different encoding formats. Accordingly, this data is badly expressed, understood and exploited by other systems and devices. From this regard, several challenges associated with standardization, interoperability, discovery, security, and description of IoT resources and their corresponding data have emerged. In this context, Semantic Web Technologies (SWT) seem a suitable and an efficient solution to relieve these challenges. Therefore, a Systematic Literature Review (SLR) methodology is performed to investiagte and analyze a set of the most recent and relevant approaches that deal with SWT in the IoT domain. These approaches are discussed and evaluated based on seven different research questions. Finally, future insights and research opportunities are suggested.

Semantic Web Technologies for the Internet of Things: Systematic Literature Review

Modeling devices has become a crucial task in the Internet of Things (IoT) and Semantic Web technologies are seen as a promising tool for this purpose. However, as it may be arduous to manipulate semantic models, industrial solutions often re-define non-standard, simplified semantics. This is the case with Project Haystack, a framework to tag devices with labels from a predefined vocabulary in the field of Building Automation. In order to make Project Haystack standard and fully semantic, we wrapped its vocabulary in an ontology. In this paper, we present the general strucure of this ontology, along with a method to turn tag sets into a Semantic Web model and back. The whole results in a reusable ontology design pattern. We aligned our Haystack tagging ontology with the wide-spreaded Semantic Sensor Network upper ontology and we designed a configuration environment for Building Automation systems based on semantic data to illustrate, so as to discuss the added-value of semantics in automation.

An ontology design pattern for IoT device tagging systems

The Internet of Things (IoT) and the Web are closely related to each other. On the one hand, the Semantic Web has been including vocabularies and semantic models for the Internet of Things. On the other hand, the so-called Web of Things (WoT) advocates architectures relying on established Web technologies and RESTful interfaces for the IoT. In this paper, we present a vocabulary for WoT that aims at defining IoT concepts using terms from the Web. Notably, it includes two concepts identified as the core WoT resources: Thing Description (TD) and Interaction, that have been first elaborated by the W3C interest group for WoT. Our proposal is built upon the ontological pattern Identifier, Resource, Entity (IRE) that was originally designed for the Semantic Web. To better analyze the alignments our proposal allows, we reviewed existing IoT models as a vocabulary graph, complying with the approach of Linked Open Vocabularies (LOV).

/pdf/introducing-thing-descriptions-and-interactions-an-ontology-3e08z6s46s.pdf

Introducing Thing Descriptions and Interactions: An Ontology for the Web of Things.

Today, internet of things (IoT) platforms offer proprietary interfaces and protocols. To enable interoperable interaction with those platforms we present the generic BIG IoT API that employs a novel approach for self-description and semantic annotation to fully adapt arbitrary IoT platforms. We have deployed this approach for multiple platforms from the mobility domain.

/pdf/the-big-iotapi-semantically-enabling-iot-interoperability-3ownu8ygxq.pdf

The BIG IoTAPI -Semantically Enabling IoT Interoperability

This document presents the Thing Description ontology, an axiomatization of the W3C Thing Description model. It also introduces an alignment with the Semantic Sensor Network ontology and evaluates how this alignment contributes to semantic interoperability in the Web of Things.

/pdf/on-modeling-the-physical-world-as-a-collection-of-things-the-y50gcb3evw.pdf

On Modeling the Physical World as a Collection of Things: The W3C Thing Description Ontology

The recent JSON-LD standard, that specifies an object notation for RDF, has been adopted by a number of data providers on the Web. In this paper, we present a novel usage of JSON-LD, as a compact format to exchange and query RDF data in constrained environments, in the context of the Web of Things.

Victor Charpenay

Papers

An ontology design pattern for IoT device tagging systems

Introducing Thing Descriptions and Interactions: An Ontology for the Web of Things.

The BIG IoTAPI -Semantically Enabling IoT Interoperability

On Modeling the Physical World as a Collection of Things: The W3C Thing Description Ontology

Towards a Binary Object Notation for RDF