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SPARQL-to-SQL on Internet of Things Databases and Streams [chapter]

Eugene Siow, Thanassis Tiropanis, Wendy Hall
2016 Lecture Notes in Computer Science  
To realise a semantic Web of Things, the challenge of achieving efficient Resource Description Format (RDF) storage and SPARQL query performance on Internet of Things (IoT) devices with limited resources  ...  We evaluate our approach against RDF stores, state-of-the-art SPARQL-to-SQL engines and streaming SPARQL engines, in the context of IoT data and scenarios.  ...  Structure of Internet of Things Data To investigate the structure of data produced by sensors in the Internet of Things, we collected the schemata of 19,914 unique IoT devices from public data streams  ... 
doi:10.1007/978-3-319-46523-4_31 fatcat:i5hey7j7hjabvf5yvx6hulxmi4

Semantic Architecture for Modelling and Reasoning IoT Data Resources based on SPARK

Ahmed Salama, Masoud E., Haytham Al-Feel
2020 International Journal of Advanced Computer Science and Applications  
Electronic Internet-of-Things is one of the foremost valuable techniques today.  ...  query language that's named SPARK-SQL as a streaming inquiry language for a colossal amount of information.  ...  from the sources of internet of things devices.  ... 
doi:10.14569/ijacsa.2020.0110255 fatcat:46i22cefpndivc62myjyifmsdi

Interoperable and Efficient: Linked Data for the Internet of Things [chapter]

Eugene Siow, Thanassis Tiropanis, Wendy Hall
2016 Lecture Notes in Computer Science  
Two requirements to utilise the large source of time-series sensor data from the Internet of Things are interoperability and efficient access.  ...  to over three orders of magnitude on Lightweight Computers.  ...  Shape of IoT Data To investigate the shape of data produced by sensors in the Internet of Things, we collected a sample of the schema of over 20,000 unique IoT devices from public data streams on Dweet.io  ... 
doi:10.1007/978-3-319-45982-0_15 fatcat:q7nezpduzndankjlslw3hie6mq

On performing semantic queries in small devices

C Costea, A Petrovan, L Neamţ, O Chiver
2016 IOP Conference Series: Materials Science and Engineering  
An increasing amount of data generated by a growing number of devices connected to the Internet resulted in processing data sensors to the edge of the network, in a middle layer where smart entities should  ...  Diversity of communication technologies outlined the idea of using intermediate devices such as gateways in sensor networks and for this reason the paper examines the functionality of a SPARQL endpoint  ...  The experimental results revealed the usefulness of interim storage and online processing/analysis (or even real-time) of data streams simultaneously with the filtered data storage in the cloud.  ... 
doi:10.1088/1757-899x/144/1/012005 fatcat:rdn56e5jorb7fh64bk4bauaury

IDSM ChemWebRDF: SPARQLing small-molecule datasets

Jakub Galgonek, Jiří Vondrášek
2021 Journal of Cheminformatics  
Owing to all of these useful features, many biological and chemical databases present their data in RDF, and support SPARQL querying.  ...  Our goal is to address this gap by integrating the datasets into one database called the Integrated Database of Small Molecules (IDSM) that will be accessible through a SPARQL endpoint.  ...  Acknowledgements This work was supported by the ELIXIR CZ research infrastructure project (MEYS Grant No: LM2018131), including access to computing and storage facilities.  ... 
doi:10.1186/s13321-021-00515-1 pmid:33980298 fatcat:zwzq7jfij5aetf4yx44ovpmeym

Ewya: An Interoperable Fog Computing Infrastructure with RDF Stream Processing [chapter]

Eugene Siow, Thanassis Tiropanis, Wendy Hall
2017 Lecture Notes in Computer Science  
Fog computing is an emerging technology for the Internet of Things (IoT) that aims to support processing on resource-constrained distributed nodes in between the sensors and actuators on the ground and  ...  However, there is a need to investigate, optimise for and measure the performance, scalability and interoperability of resource-constrained Fog nodes running real-time applications and queries on streaming  ...  The Internet of Things (IoT) is growing to become a similar ubiquitous network of sensors and actuators for our planet.  ... 
doi:10.1007/978-3-319-70284-1_20 fatcat:5bzicrvlbrffjnwvzdkgo7wm5i

ONTOLOGY-BASED DATA ACCESS TO HETEROGENEOUS DATA SOURCES: STATE OF THE ART APPROACHES AND APPLICATIONS

Naglaa Fathy, Walaa Gad, Nagwa Badr, Mohamed Hashem
2022 International Journal of Intelligent Computing and Information Sciences  
Ontologies are utilized in OBDA to provide a conceptual view over diverse datasets; and the relationships between them are defined through mappings in two ways: data translation, and query translation.  ...  In this paper, we present the framework of OBDA by discussing the main components of ontology-based data access, techniques, applications and future challenges.  ...  Finally, extending the capability of OBDA technology to deal with streaming data efficiently would be beneficial in many fields i.e. the Internet of Things. 2 Naglaa 2 https://ijicis.journals.ekb.eg/ Fathy  ... 
doi:10.21608/ijicis.2022.110450.1144 fatcat:xys7iwmyuzgdnps7s5qh5qpqya

Search Techniques for the Web of Things: A Taxonomy and Survey

Yuchao Zhou, Suparna De, Wei Wang, Klaus Moessner
2016 Sensors  
Search is fundamental to the Web of Things while challenging by nature in this context, e.g., mobility of the objects, opportunistic presence and sensing, continuous data streams with changing spatial  ...  The VITAL project [7] aims to enable semantic discovery of Internet-connected objects and services agnostic of the underlying IoT platform.  ...  The Web of Things provides an Application Layer that simplifies the creation of Internet of Things applications.  ... 
doi:10.3390/s16050600 pmid:27128918 pmcid:PMC4883291 fatcat:z3bigpprj5ho3jespbwib6fjju

Querying industrial stream-temporal data: An ontology-based visual approach1

Ahmet Soylu, Martin Giese, Rudolf Schlatte, Ernesto Jimenez-Ruiz, Evgeny Kharlamov, Özgür Özçep, Christian Neuenstadt, Sebastian Brandt, Antonis Bikakis, Thanos G. Stavropoulos, Georgios Meditskos
2017 Journal of Ambient Intelligence and Smart Environments  
Ontological queries could then be translated into SQL or some other database query languages, and executed over the data in its original place and format automatically.  ...  An increasing number of sensors are being deployed in business-critical environments, systems, and equipment; and stream a vast amount of data.  ...  (b) and query transformation to expand and translate the posed queries (e.g., in SPARQL) into the language of the underlying relational database system (e.g., to SQL).  ... 
doi:10.3233/ais-160415 fatcat:4lscdqnu7jgexdg444kdajfywq

When Things Matter: A Data-Centric View of the Internet of Things [article]

Yongrui Qin, Quan Z. Sheng, Nickolas J.G. Falkner, Schahram Dustdar, Hua Wang, Athanasios V. Vasilakos
2014 arXiv   pre-print
With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday  ...  objects to the Internet and facilitating machine-to-human and machine-to-machine communication with the physical world.  ...  We focus on our study of the Internet of Things from a data perspective. As shown in Fig. 1 , data is processed differently in the Internet of Things and traditional · 3 Fig. 2.  ... 
arXiv:1407.2704v2 fatcat:crbago2kqrbsbaoaig63yfvbua

TritanDB: Time-series Rapid Internet of Things Analytics [article]

Eugene Siow, Thanassis Tiropanis, Xin Wang, Wendy Hall
2018 arXiv   pre-print
databases on both resource-constrained Things and in the cloud.  ...  Our solution, TritanDB, shows an order of magnitude performance improvement across both Things and cloud hardware on many state-of-the-art databases within IoT scenarios.  ...  MICROBENCHMARKS Internet of Things Datasets To evaluate the performance of various algorithms and system designs with microbenchmarks, we collated a set of publicly available Internet of ings datasets  ... 
arXiv:1801.07947v1 fatcat:4ps3plm26rfvjgulpnxc76zzam

When things matter: A survey on data-centric internet of things

Yongrui Qin, Quan Z. Sheng, Nickolas J.G. Falkner, Schahram Dustdar, Hua Wang, Athanasios V. Vasilakos
2016 Journal of Network and Computer Applications  
With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor devices, and Web technologies, the Internet of Things (IoT) approach has gained momentum in connecting everyday  ...  objects to the Internet and facilitating machineto-human and machine-to-machine communication with the physical world.  ...  We express our gratitude to the anonymous reviewers for their comments and suggestions which have greatly helped us to improve this work.  ... 
doi:10.1016/j.jnca.2015.12.016 fatcat:4roub2ifdjgide4kxhmqqrk44i

A Survey on Semantic Sensor Web: Sensor Ontology, Mapping and Query

Xiaoming Zhang, Mei Li
2015 International Journal of u- and e- Service, Science and Technology  
Secondly, we discuss the mapping from the stream data to ontology and focus on the comparison of the mapping languages in order to find out the best mapping method of SSW.  ...  Mapping methods which from stream data to the ontology are analyzed and the mapping languages are compared. Semantic query methods of stream data based on ontology are discussed.  ...  Est project, SSN ontology is used in the Internet of things to describe the resources, the observation and the measurement system of sensors.  ... 
doi:10.14257/ijunesst.2015.8.10.32 fatcat:d2nksllpkrcufi4l72x7fnzk3a

Semantic Smart World Framework

K. ElDahshan, E. K. Elsayed, H. Mancy
2020 Applied Computational Intelligence and Soft Computing  
In order to build the proposed smart world framework, technologies such as cloud computing, semantic technology, big data, data visualization, and the Internet of Things are hybrid.  ...  We demonstrate the proposed framework through a case study of automatic prediction of air quality index and different weather phenomena in the different locations in the world.  ...  Acknowledgments e authors would like to thank the HPC team who support our framework hardware and like to thank air quality and weather data providers.  ... 
doi:10.1155/2020/8081578 fatcat:hckri6kpkra2djibb6gve5cq7q

Categorization of RDF Data Management Systems

Khadija Alaoui, Mohamed Bahaj
2021 Advances in Science, Technology and Engineering Systems  
The categorization is established according to the motivations behind the adoption of one or the other triplestore for handling the main tasks of data storage and SPARQL querying.  ...  , for the storage of RDF data and its querying using the RDF query language SPARQL.  ...  The μRDF store was developed with the aim to make the exchange and treatment of RDF data possible in the world of "internet-of-things" (IoT).  ... 
doi:10.25046/aj060225 fatcat:sbltbipjrbexnoysynmkib4jsa
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