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Recent advances in the Internet-of-Things has given rise to the possibility of connecting different kinds of devices to the internet. With low computing resources constraining most IoT devices and their networks, managing the capabilities and services of the various constrained devices over the internet has been an issue for IoT implementations. Existing approaches to this problem lack end-to-end...
Different from the traditional web services, the big data services' execution duration vary from the input data volume, so the traditional Quality of Service (QoS) analysis model for traditional web services cannot be directly applied to big data services. Additionally, since many big data or web services provide overlapping or identical functionality, albeit with the description of different QoS,...
Compared to living alone, sharing housing with others is usually much cheaper. Meanwhile, share-housing life would exert mammoth impact on people's social activity and self development by help them save house rental cost and improve their life quality. This paper proposes an allocation information system for share-housing management, which takes into account preference on roommates' living habits,...
Process management is practical in the state-of-the-art of Internet of things research. However, this has become a bottleneck in recent years since an extreme amount of heterogeneous items have to be recorded and traced with radio frequency identification (RFID) tags. In a typical application of process synthesis management, each item will be involved with multiple processes but when those processes...
To build a simple picture of M2M communication under service-oriented M2M architecture, a key innovation underlines the enablement of M2M device abstraction and semantics support. However, state of the art structures of M2M devices/software lack common M2M Service Layer for interoperability. Devices/software rely heavily on specific API implementation-oriented data services and the data definition...
In this era filled with big data, a crucial issue of knowledge management is to create an effective platform to integrate knowledge with new product development. Because of the 4V (Volumes, Variety, Velocity, Value) features of big data, traditional knowledge lifecycle management methods should be improved so as to better control and manage knowledge related activities. This paper thus discusses relevant...
Data evolution is the process of semantics change for data product, in which data product has intrinsic semantics as well as extension semantics. This paper presents an ontology framework for evolution of plain text. The semantics of plain text is modeled as DATAGENOME ontology, including CONNOTATION ontology for expressing the intrinsic semantics and CONTEXT ontology for representing the extension...
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