Semantic Web of Things

What is the Semantic Web of Things?
Semantic Web of Things

The Semantic Web of Things (SWoT) is an emerging vision in Information and Communication Technology (ICT), joining together some of the most important paradigms of the decade: the Semantic Web and the Internet of Things.
M. Ruta, F. Scioscia, E. Di Sciascio. Enabling the Semantic Web of Things: framework and architecture, 6th IEEE Int. Conf. on Semantic Computing (ICSC 2012).

The Semantic Web initiative aims at allowing available information in the World Wide Web to be seamlessly shared, reused and combined by software agents. Each available resource in the semantic-enabled Web should be properly described in order to infer new information from the one stated in the semantically annotated resource descriptions.
T. Berners-Lee, J. Hendler, O. Lassila, The semantic Web, Scientific American 284 (5) (2001) 28-37.

The Internet of Things vision promotes on a global scale the ubiquitous computing paradigm. In ubiquitous and pervasive contexts, intelligence is embedded into objects and physical locations by means of a large number of heterogeneous micro-devices, such as RFID tags or sensors, each conveying a small amount of information. Due to space, power and cost constraints, devices are usually endowed with very low storage, little or no processing capabilities and short-range, low-throughput wireless links allowing only a simple service/resource fruition.
ITU, Internet Reports 2005: The Internet of Things (November 2005).

Ideas and technologies borrowed from the Semantic Web vision may allow to overcome these limitations. In fact the SWoT vision enables knowledge-based systems that achieve high degrees of autonomic capability for information storage, management and discovery, also providing transparent access to information sources in a given area.

SWoT Tools

Tools that enable the SWoT vision


Reasoner and matchmaking engine for the Semantic Web of Things


A lightweight C/C++ library for working with OWL 2 ontologies


Semantic-enhanced framework for machine learning on sensor streams


CoAP Mapping for Linked Data Platform


A cross-platform, energy-aware evaluation tool for OWL reasoners

Physical Semantic Web

Semantic-based evolution of the Physical Web project proposed by Google


The original Mini Matchmaking Engine (superseded by Tiny-ME)

Mini-ME Swift

The first OWL reasoner for iOS (superseded by Tiny-ME)

SWoT Applications

Applications powered by our research

Smart Building

Semantic-enhanced HBA system based on an evolution of EIB/KNX protocol

Posture and gesture recognition

Automated posture and gesture detection, exploiting depth data from Microsoft Kinect

Semantic JOSM

Semantic-based annotations of OpenStreetMap points of interest (POIs)

Semantic Sensor Networks

Backward-compatible extension of CoAP resource discovery

Semantic-enhanced RFID

Extension of EPCglobal specifications for RFID tag


Semantic-enhanced car diagnostics and driving assistance

DSS for Healthcare

Decision Support System for healthcare based on a semantic enhancement of RFID protocol


Personal assisted navigation for disabled people within the Polytechnic of Bari
SWoT Podcast

SisInfLab people interviewed by Radio Frequenza Libera.

Dr. Michele Ruta and SWoT@SisInfLab people interviewed in The cornerD programme of Radio Frequenza Libera on Monday, February 3rd, 2014.

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