A P2P Semantic Query Framework for the Internet of Things

Mietz, Richard; Groppe, Sven; Kleine, Oliver; Bimschas, Daniel; Fischer, Stefan; Römer, Kay Uwe; Pfisterer, Dennis

doi:10.1515/pik-2013-0006

Cited by 15 publications

(5 citation statements)

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“…We have implemented the discovery service using an existing distributed RDF database called DecentSparql [39], which is available as an open source project. It is a Semantic Web database management system with a P2P system to provide full SPARQL 1.1 support, scalability, decentralization, fault-tolerance and infrastructure-free operation.…”

Section: Discovery Of Dms Instancesmentioning

confidence: 99%

Business Model Design and Architecture for the Internet of Everything

Pfisterer

Radonjic-Simic

Reichwald

2016

JSAN

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Smart devices and cyber-physical systems, which are interconnected to IT systems and services, form the basis for the arising Internet of Everything, opening up new economic opportunities for its participants and users beyond its technological aspects and challenges. While today's e-business scenarios are mostly dominated by a few centralized online platforms, future business models, which will be feasible for the Internet of Everything, need to address special requirements. Such business models, e.g., leveraging the possibilities of smart cities, need to cope with arbitrary combinations of products and services orchestrated into complex products in a highly distributed and dynamic environment. Furthermore, these arbitrary combinations are influenced by real-time context information derived from sensor networks or IT systems, as well as the users' requirements and preferences. The complexity of finding the optimal product/service combination overstrains users and leads to decisions according to the principle of adverse selection (i.e., choosing good enough instead of optimal). Such e-business models require an appropriate underlying value generation architecture that supports users in this process. In this paper, we develop a business model that addresses these problems. In addition, we present the Distributed Market Spaces (DMS) software-system architecture as a possible implementation, which enables the aforementioned decentralized and context-centric e-business scenario and leverages the commercial possibilities of smart cities.

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Section: Discovery Of Dms Instancesmentioning

confidence: 99%

Business Model Design and Architecture for the Internet of Everything

Pfisterer

Radonjic-Simic

Reichwald

2016

JSAN

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“…Meitz et al [7] showed a huge difference among the peer's data load, when triples are indexed 3 times using a fixed hash depth of 1, i.e., hash(subject), hash(predicate), hash(object). To improve the data distribution they proposed the idea to index triples using a random hash depth, for example, for a hash depth of h=4, there would be 4 potential location keys for each triple components.…”

Section: Related Workmentioning

confidence: 99%

Towards Load Balancing and Parallelizing of RDF Query Processing in P2P Based Distributed RDF Data Stores

Ali

Janson

Schindelhauer

2014

2014 22nd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing

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For evaluating RDF queries in Peer-to-Peer (P2P) based RDF data stores, the location of a RDF triple in the network must be attainable from a triple pattern in the given query. An existing strategy, used by state-of-the-art distributed RDF data stores, to fulfill this requirement is to store triples at three locations that each triple can be found by the subject, predicate, and object identifier. A major drawback of this strategy is the issue of load-balancing caused by the fact that the frequency of subject, predicate, and object occurrences in triples is not uniformly distributed. While the majority of URIs and literals occur very rarely some occur very frequently (e.g., peer responsible for 'rdf:type' is subjected to a very high storage load). In addition, this skewed RDF triples distribution among network peers also leads to an unfair query processing load distribution and long query processing time. To cope with hotspots caused by unfair data load distribution, we propose an optimized routing index scheme where triples are indexed on the combination of their subject, predicate and object components. This paper will also show how can we exploit this novel index scheme to achieve a better distribution of query processing load and faster query response time by bundling computation resources and bandwidth of peers with parallelism.

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“…To make this work on an Internet scale, a distributed RDF database should be used but is not required by our approach. A number of scalable peer-to-peer-based RDF databases have been proposed (e.g., RDFPeers [10], Atlas [11], 3RDF [12], GridVine [13], or DecentSparql [14]) that distribute RDF triples amongst a-potentially huge-number of peers. Such databases can be used without changing our system as long as SPARQL is fully supported (which is to the best of our knowledge currently only the case for DecentSparql [14]).…”

Section: Approachmentioning

confidence: 99%

“…A number of scalable peer-to-peer-based RDF databases have been proposed (e.g., RDFPeers [10], Atlas [11], 3RDF [12], GridVine [13], or DecentSparql [14]) that distribute RDF triples amongst a-potentially huge-number of peers. Such databases can be used without changing our system as long as SPARQL is fully supported (which is to the best of our knowledge currently only the case for DecentSparql [14]). In such a scenario, even parts of the IoT (e.g., embedded computers, routers and other hardware resources), which are most of the time rarely used or even idle, could be part of such a peer-to-peer network and thus the IoT would even provide self-growing storage and query capabilities.…”

Section: Approachmentioning

confidence: 99%

Semantic Models for Scalable Search in the Internet of Things

Mietz

Groppe

Römer

et al. 2013

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The Internet of Things is anticipated to connect billions of embedded devices equipped with sensors to perceive their surroundings. Thereby, the state of the real world will be available online and in real-time and can be combined with other data and services in the Internet to realize novel applications such as Smart Cities, Smart Grids, or Smart Healthcare. This requires an open representation of sensor data and scalable search over data from diverse sources including sensors. In this paper we show how the Semantic Web technologies RDF (an open semantic data format) and SPARQL (a query language for RDF-encoded data) can be used to address those challenges. In particular, we describe how prediction models can be employed for scalable sensor search, how these prediction models can be encoded as RDF, and how the models can be queried by means of SPARQL

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A P2P Semantic Query Framework for the Internet of Things

Cited by 15 publications

References 0 publications

Business Model Design and Architecture for the Internet of Everything

Business Model Design and Architecture for the Internet of Everything

Towards Load Balancing and Parallelizing of RDF Query Processing in P2P Based Distributed RDF Data Stores

Semantic Models for Scalable Search in the Internet of Things

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