The Graph of Things: A Step Towards the Live Knowledge Graph of Connected Things
Autor: | Tuan Tran Nhat, Hoan Nguyen Mau Quoc, Hung Ngo Quoc, Manfred Hauswirth, Danh Le-Phuoc |
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Přispěvatelé: | Publica |
Rok vydání: | 2016 |
Předmět: |
Computer Networks and Communications
Computer science business.industry Big data Volume (computing) 020207 software engineering 020206 networking & telecommunications 02 engineering and technology Linked data computer.file_format JavaScript Human-Computer Interaction World Wide Web Software Scalability 0202 electrical engineering electronic engineering information engineering SPARQL Graph (abstract data type) 020201 artificial intelligence & image processing Internet of Things business computer computer.programming_language |
Zdroj: | Web Semantics: Science, Services and Agents on the World Wide Web |
ISSN: | 1556-5068 |
DOI: | 10.2139/ssrn.3199225 |
Popis: | The Internet of Things (IoT) with billions of connected devices has been generating an enormous amount of data every hour. Connecting every data item generated by IoT to the rest of the digital world to turn this data into meaningful actions will create new capabilities, richer experiences, and unprecedented economic opportunities for businesses, individuals, and countries. However, providing an integrated view for exploring and querying such data at real-time is extremely challenging due to its Big Data natures: big volume, fast real-time update and messy data sources. To address this challenge, we provide a unified integrated and live view for heterogeneous IoT data sources using Linked Data, called the Graph of Things (GoT). GoT is backed by a scalable and elastic software stack to deal with billions of records of historical and static datasets in conjunction with millions of triples being fetched and enriched to connect to GoT per hour in real time. GoT makes approximately a half of million stream data sources queryable via a SPARQL endpoint and a continuous query channel that enable us to create a live explorer of GoT (http://graphofthings.org/) with just HTML and Javascript. |
Databáze: | OpenAIRE |
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