Social Networking Applications: Smarter Product Design for Complex Human Behaviour Modeling

Ahram, Tareq Z.; Karwowski, Waldemar

doi:10.1007/978-3-642-21753-1_53

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…Semantic Sensor Networks ontology namely SSN ontology [4] has become a standard in most fields of semantic sensor network, and there have emerged some researches about the application of the SSN ontology, e.g., [5][6][7][8]. In agricultural areas, some researches have combined the sensor network with the semantic web on the basis of the SSN ontology (e.g., [9]).…”

Section: Introductionmentioning

confidence: 99%

A Method for Mapping Sensor Data to SSN Ontology

Zhang¹,

Zhao²,

Liu³

2015

IJUNESST

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Section: Introductionmentioning

confidence: 99%

A Method for Mapping Sensor Data to SSN Ontology

Zhang¹,

Zhao²,

Liu³

2015

IJUNESST

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“…Semantic Sensor Networks ontology (namely SSN ontology) [4], which has become a standard for semantic sensor network, is a good choice for applications in different fields, e.g. [5], [6], etc. However, how to transform sensor data from different sources to RDF conforming SSN ontology is a key issue to be solved for these applications using sensor data.…”

Section: Introductionmentioning

confidence: 99%

Transforming Sensor Data to RDF based on SSN Ontology

Zhang¹,

Zhao²,

Liu³

2015

Advanced Science and Technology Letters

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The development of the sensor network technology is playing more and more important role in our daily life. However, sensor data from different sources is hard to work together for lack of semantic. This paper proposed a solution to transforming sensor data to RDF based on SSN ontology. We design a XML-based mapping language (named SASML) which is used to annotate sensors and sources. Then, an algorithm (named SDRM) is designed to transform sensor data to RDF conforming to SSN ontology, based on the predefined SASML mapping file. Further, we have developed a prototype to demonstrate the effectiveness of our method.

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Smart Homes as Product-Service Systems: Two Focal Areas for Developing Competitive Smart Home Appliances

2019

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Smart homes are a strong match for the characteristics of product-service systems (PSSs), but practitioners lack the knowledge necessary to approach their designs from a systemic perspective. Positing that smart home appliances (SHAs) are the building blocks of smart homes as competitive PSSs, this article investigates the attributes of SHAs as design elements and the advantages of PSSs as design goals. Based on systematic literature reviews and interviews with SHA experts in South Korea, the authors propose a revised set of SHA attributes and discuss the two focal areas for developing competitive PSSs with SHAs: smartness for personalized user experiences and smartness for expanded cooperation. The article contributes to the fast-changing smart home industry by capturing the attributes that define today’s SHAs, demonstrating that these attributes can contribute to the development of smart homes as a competitive PSS, and identifying areas of focus for those who develop SHAs and systems.

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Social Networking Applications: Smarter Product Design for Complex Human Behaviour Modeling

Cited by 4 publications

References 11 publications

A Method for Mapping Sensor Data to SSN Ontology

A Method for Mapping Sensor Data to SSN Ontology

Transforming Sensor Data to RDF based on SSN Ontology

Smart Homes as Product-Service Systems: Two Focal Areas for Developing Competitive Smart Home Appliances

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