1,721,059 research outputs found
Dweet.io IoT device schema Jan2016
Dataset supports:
Siow, E., Tiropanis, T., and Hall, W. (2016). SPARQL-to-SQL on internet of things databases and streams. Paper presented at ISWC2016: The 15th International Semantic Web Conference, Japan.
Siow, E., Tiropanis, T., and Hall, W. (2016). Interoperable and efficient: linked data for the internet of things. 161-175. Paper presented at INSCI 2016, 3rd International conference on Internet Science, Italy. DOI: 10.1007/978-3-319-45982-0_15
22,662 schemata of which 1,541 are empty and 9,561 are non-IoT schemata.
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Cross-IoT Study of the Characteristics of IoT Schemata and Data Streams
Dataset supports PhD thesis by Siow 'Efficient Querying for Analytics on Internet of Things Databases and Streams'.
A broad cross-IoT study of the characteristics of Things schemata and data streams. The aim of the study is to determine the flatness, width, types of attribute values and periodicity of current IoT data streams from various domains and use cases.
Studies include:
- SparkFun: 614 schemata of devices in Jan 2016 : Folder `sparkfun`
- ThingSpeak: 9033 schemata of devices in July 2017 : Folder `ThingSpeak`
- Array of Things: 9033 schemata of devices in July 2017 : Folder `array_of_things`
- OpenEnergyMonitor EmonCMS: 9033 schemata of devices in July 2017 : Folder `EmonCms`
- Open Humans: HealthKit, Fitbit, RunKeeper and Move schemata in July/August 2017 : Folder `OpenHumans`</span
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Sharing databases on the Web with Porter Proxy
With large number of datasets now available through the Web, data-sharing ecosystems such as the Web Observatory have emerged. The Web Observatory provides an active decentralised ecosystem for datasets and applications based on a number Web Observatory sites, each of which can run in a different administrative domain. On a Web Observatory site users can publish and securely access datasets across domains via a harmonised API and reverse proxies for access control. However, that API provides a different interface to that of the databases on which datasets are stored and, consequently, existing applications that consume data from specific databases require major modification to be added to the Web observatory ecosystem. In this paper we propose a lightweight architecture called Porter Proxy to address this concern. Porter Proxy exposes the same interfaces as databases as requested by the users while enforcing access control. Characteristics of the proposed Porter Proxy architecture are evaluated based on adversarial scenario-handling in Web Observatory eco-system
Ewya: an interoperable fog computing infrastructure with RDF stream processing
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 compute clusters in the cloud. Fog Computing benefits from low latency, location awareness, mobility, wide-spread deployment and geographical distribution at the edge of the network. 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 IoT data before we can realise these benefits. With Eywa, a novel Fog Computing infrastructure, we (1) formally define and implement a means of distribution and control of query workload with an inverse publish-subscribe and push mechanism, (2) show how data can be integrated and made interoperable through organising data as Linked Data in the Resource Description Format (RDF), (3) test if we can improve RDF Stream Processing query performance and scalability over state-of-the-art engines with our approach to query translation and distribution for a published IoT benchmark on resource-constrained nodes and (4) position Fog Computing within the Internet of the Future.<br/
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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