An Efficient Method for Constructing Personal DataSpace

Li, Yukun; Meng, Xiaofeng; Kou, Yubo

doi:10.1109/wisa.2009.39

Cited by 5 publications

(2 citation statements)

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“…The CoreSpace Model and the TaskSpace Model are the core parts of the personal dataspace management system, OrientSpace Li, Meng & Kou 2009), which automatically constructs a personal dataspace. This system considers the behaviour characteristics of the subject, and highlights the effect of subject characteristics on the dataspace.…”

Section: Dataspacementioning

confidence: 99%

Process Materials Scientific Data for Intelligent Service Using a Dataspace Model

Hu²

2016

Data Science Journal

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Nowadays, materials scientific data come from lab experiments, simulations, individual archives, enterprise and internet in all scales and formats. The data flood has outpaced our capability to process, manage, analyze, and provide intelligent services. Extracting valuable information from the huge data ocean is necessary for improving the quality of domain services. The most acute information management challenges today stem from organizations relying on amounts of diverse, interrelated data sources, but having no way to manage the dataspaces in an integrated, user-demand driven and services convenient way. Thus, we proposed the model of Virtual Data-Space (VDS) in materials science field to organize multi-source and heterogeneous data resources and offer services on the data in place without losing context information. First, the concept and theoretical analysis are described for the model. Then the methods for construction of the model is proposed based on users' interests. Furthermore, the dynamic evolution algorithm of VDS is analyzed using the user feedback mechanism. Finally, we showed its efficiency for intelligent, real-time, on-demand services in the field of materials engineering.

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Section: Dataspacementioning

confidence: 99%

Process Materials Scientific Data for Intelligent Service Using a Dataspace Model

Hu²

2016

Data Science Journal

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“…Vaz Salles et al (2006) developed a platform for personal dataspace management that uses iDM as data model. Li et al (2009) proposed a method for constructing personal dataspace. Liu et al (2010) discussed document clustering in personal dataspace.…”

Section: Personal Information Managementmentioning

confidence: 99%

Dataspace and its application in digital libraries

Borjigin

Zhang

Xing

et al. 2013

The Electronic Library

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Purpose -This paper aims to introduce dataspace into digital libraries in order to address its emerging data management challenges which stem from cross-domain, heterogeneous, and uncertain nature of data resources, based on looking into the fundamental principles, significant features, and research directions of dataspace. Design/methodology/approach -This research mainly employs three types of research methodologies: a literature study was conducted for revealing the fundamental principles, analyzing the significant features, and discussing the new research topics; knowledge engineering methodology is used to design the data model; software engineering methodology is applied to develop the reference framework and the digital library. Findings -This paper for the first time proposes a motion to build a Dataspace Support Digital Library (DSDL), and provides its data model, data management policies and a reference framework. Further, its implementation is described and some implications learned from the case study are also discussed. Practical implications -Introducing dataspace technologies into developing a digital library frees the developer to just focus on solving business challenges, rather than addressing non-business related, data management level tasks. In addition, the data model and the reference framework presented in this paper lay foundations for constructing Dataspace Support Digital Libraries. Originality/value -This is the first paper to introduce dataspaces into the design of digital libraries and is also the first paper to propose a novel data model, data management and reference framework for Dataspace Support Digital Libraries.

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