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Learning offerings and learners' activities are increasingly moving to decentralized learning environments in the cloud. The advent of MOOC platforms gives a good example for this ongoing evolution. However, most learning applications use proprietary data models. As learners nowadays not only use only one e-learning offering, the analysis of learner activities is challenging in such decentralized...
A data space system facilitates a new way for sharing and integrating the information among the various distributed, autonomous and heterogeneous data sources. To provide the best effort answer of a user query, a data space system needs to resolve the semantic heterogeneity in its core. There are many solutions being proposed to address this problem widely. We are exploring the problem of semantic...
In distributed environment, in order to manage and share data resources better, tracking the origin and evolution of the data is needed to obtain the data provenance information, used to judge the quality and credibility of the data. In order to provide the framework basis which is used to analyze the dependent relationships of data provenance, a tracking framework for distributed environment based...
New challenges for large-scale data management and sharing have arisen due to the information evolution from massive data to "big data". Domain Scientific Data Cloud (DSDC) based on virtual data space is proposed in this paper to solve the problems of "big data" management, reusability and service in scientific field. The application of DSDC (MSDC) is also introduced, which is...
Spatial statistic data is location related data which could be visualized on a map that forms a thematic map. Nowadays, more and more spatial related data could be reached through internet as the development of geospatial data sharing. Traditionally, cartography of these data is done by experts manually; however, automatic cartography of the spatial statistic data could be of value to the users in...
With the tremendous growth of the Web, a broad spectrum of accommodation information is available on the Internet. In order to adequately support online information users in collecting and sharing accommodation related information, it is important to create an effective information integration solution. Existing data integration approaches such as the wrapper-mediator approach provide generic solutions...
Ever since the advent of high-throughput biology (e.g., the Human Genome Project), integrating the large number of diverse biological data sets has been considered as one of the most important tasks for advancement in the biological sciences. Whereas the early days of research in this area were dominated by virtual integration systems (such as multi-/federated databases), the current predominantly...
Earth and environmental scientists collect and use a wide range of observational data. This data often exhibits high structural and semantic heterogeneity due to the variety of data collected and the ways in which observational datasets are structured in practice. However, to address questions at broad temporal, geographic, and biological scales, researchers often need to access and combine data from...
With the increase of the number of independent database applications, Large organizations are eager to an effective solution of heterogeneous and distributed databases integration. Ontology is defined as an explicit formal specification of a shared conceptualization. It can provide semantics through relations between concepts and can be widely used on heterogeneous data. This paper mainly discusses...
Cloud computing is the newest paradigm in the IT world and hence the focus of new research. Companies hosting cloud computing services face the challenge of handling data intensive applications. Semantic web technologies can be an ideal candidate to be used together with cloud computing tools to provide a solution. These technologies have been standardized by the World Wide Web Consortium (W3C). One...
With the rapid development of Internet technology, web information system has achieved great development, and XML, as the new carrier and standard of information exchanging and calculating on the internet, has been widely used as well. While providing a uniform syntax and semi-structured data model, XML does not express semantics but only structure. This paper combines the web data integration problem...
In the platform of China Geological Survey Information Grid(CGSIG), variety of spatial data of large storage capacity and different data format and spatial services which are various and powerful are collected and put together, therefore it needs a effective mechanism to store, manage, retrieve and discover these geo-resources. Catalogue Service System based on the platform of CGSIG adopts a means...
This research utilized software agent based technology in expanding remote machine tool service system by constructing related remote service ontologies to facilitate its smart and distributive characteristics. These service agents could be used for remote smart machine tool services underlying Internet through the communication protocols supported by both KQML (Knowledge Query Manipulation Language)...
With the accomplishment of Human Genome Project, a mass of original data are collected by researchers. In order to handle and research those data better, hundreds of databases of Bioinformatics are formed. However, how to integrate these heterogeneous databases to provide users with a unified application platform? This is a problem to be solved. This paper analyzes the existing bioinformatics database...
Semantic integration is a key technology of heterogeneous database interoperation at present. This article proposes a method of building heterogeneous database integration framework which is fairly complete and based on ontology by the advantage of ontology semantic integration. The article puts forward semantic mapping approach based on semantic similarity of the concept name, property type and instance...
There exists a variety of heterogeneous data that need to be integrated within a secure domain. How to integrate the security data from various data source safely is a challenge for database researchers. In this paper, we introduce a new model for security data integrity, Weight-value-Extended MLS (WEMLS), which is development based on MLS. Compared with MLS, WEMLS can not only guarantee the security...
In order to break the bulwark and eliminate the information isolated island in UGIS, the architecture of SOA-oriented urban spatial information platform is proposed. The SOA-oriented urban spatial information management and service architecture is designed and the key technologies are discussed in detail. The architecture is based on service and adopts the convenient and widely used SOA. It contains...
High performance processing of agricultural data in the grid environment is a complex and hardly problem, mainly due to agricultural data's geographic distribution, heterogeneity, variety. A layered software architecture agriculture of agricultural data grid is designed. Agricultural meta-data model based spatio-temporal ontology, spatial clustering and mapping for agricultural data, information cooperation,...
In this paper we propose a hierarchical data model for representing ontologies. The model is suited for efficiently handling hierarchical relationships, frequently found in the ontology structure. Our hierarchical data model defines a generic representation using hierarchies that can be persisted in a general purpose records structure. We introduce two algorithms that efficiently represent the hierarchical...
Information integration is a key for further growth of efficiency in management decisions for the railway domain. In the context of the EU project InteGRail (funded in the 6th Framework Programme) an integration approach leveraged by ontologies known from the semantic Web and logic-based reasoning mechanisms has been successfully demonstrated. To this effect existing heterogeneous monitoring data...
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