New Demo Papers at ISWC 2017

Sukhobok,D., H. Sanchez, J. Estrada, D. Roman. Linked Data for Common Agriculture Policy: Enabling Semantic Querying over Sentinel-2 and LiDAR Data. International Semantic Web Conference. Demo paper. 2017. To appear.

  • Abstract: The amount of open and free satellite earth observation data combined with available data from other sectors (e.g. biodiversity, landscape elements, cadaster data) has the potential to enhance decision-making processes in various domains. An example of such a domain is agriculture, where the ability to objectively and automatically identify different types of agricultural features (e.g., irrigation patterns and landscape elements) can lead to more effective agriculture management. In this paper we show the possibility to publish and integrate multi-sectoral data from several sources into an existing data-intensive service targeting better and fairer Common Agriculture Policy (CAP) funds assignments to farmers and land owners. We show an end-to-end approach for integrating multi-sectoral data and publishing the result as Linked Data with the help of the DataGraft platform. To demonstrate the use of the resulted dataset, we developed a visualization system prototype showing various information about agricultural parcel features.
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Sukhobok, D., Nikolov, N., Lech, T. C., Moberg, A.-H., Frantsvag, R., Bergaas, H. R., Roman, D. . Interacting with Subterranean Infrastructure Linked Data using Augmented Reality. International Semantic Web Conference. Demo paper. 2017. To appear.

  • Abstract: Subterranean infrastructure damages caused by excavation works of all kinds are costly and potentially dangerous for workers. Such damages are often caused by poor subterranean data or inappropriate use of the existing data. We aim to provide solutions and services that will hinder obstacles related to the use of subterranean infrastructure data to ensure less damage and less time spent on finding and integrating data about subterranean infrastructure. The result of the work reported in this paper is an augmented reality application that can provide users the ability to see what subterranean infrastructure is located at a given physical location. In this paper we demonstrate a method to create such an application using Linked Data technologies.
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Sukhobok, D. Djordjevic, D. Sanvito and D. Roman. Publishing Socio-Economic Territory Indices as Linked Data and their Visualization for Real Estate Valuation. International Semantic Web Conference. Demo paper. 2017. To appear.

  • Abstract: The correct estimation of the real estate value facilitates decision making in various sectors, such as public administration or the real estate market. In this paper we demonstrate a method to manage territory scores and property valuation estimations as Linked Data with
    the help of the proDataMarket technical framework. The demo illustrates how the proDataMarket technical framework can be used to generate, maintain and serve territory and property valuation estimation data with the help of semantic technologies.
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Shi, L., Pettersen, B. E., Sukhobok, D., Nikolov N., and Roman, D. Linked Data for the Norwegian State of Estate Reporting Service. International Semantic Web Conference. Demo paper. 2017. To appear.

  • Abstract: The Norwegian State of Estate (SoE) report includes information about all Norwegian state-owned properties and buildings in the public sector and aims to assist government decision makers to allocate resources more effectively. A Linked Data based approach is presented here to increase the transparency in the government administration, improve the report generating process and also the report quality. Cross-domain government data originated from the business entity register, the cadastral system, the building accessibility register and the old SoE report are acquired, prepared, cleaned, transformed to Linked Data format and published. The source datasets are then integrated, augmented and interlinked before the results are published as a SPARQL endpoint, used for data visualization and report generation.
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Roman, D., Paniagua, J., Tarasova, T., Georgiev, G., Sukhobok, D., Nikolov, N., and Lech, T. C. proDataMarket: A Data Marketplace for Monetizing Linked Data. International Semantic Web Conference. Demo paper. 2017. To appear.

  • Abstract: Linked data has emerged as an interesting technology for publishing structured data on the Web but also as a powerful mechanism for integrating disparate data sources. Various tools and approaches have been developed in the semantic Web community to produce and consume linked data, however little attention has been paid to monetization of linked data. In this paper we introduce a data marketplace – proDataMarket – that enables data providers to generate, advertise, and sell linked data, and data consumers to purchase linked data on the marketplace. The marketplace was originally designed with a focus on geospatial linked data (targeting property-related data providers and consumers) but its capabilities are generic and can be used for data in various domains. This demo will highlight the capabilities offered to the providers and consumers of the data made available on the marketplace.
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Nikolov, N., Sukhobok, D., Dragnev, S., Dalgard, S., Elvesæter, B., von Zernichow, B. M., and Roman, D. DataGraft beta v2: New Features and Capabilities. International Semantic Web Conference. Demo paper. 2017. To appear.

  • Abstract: In this demonstrator, we will introduce the latest features and capabilities added to DataGraft – a Data-as-a-Service platform for data preparation and knowledge graph generation. DataGraft provides data transformation, publishing and hosting capabilities that aim to simplify the data publishing lifecycle for data workers (i.e., Open Data publishers, Linked Data developers, data scientists). This demonstrator highlights the recent features added to DataGraft by exemplifying data publication of statistical data – going from the raw data published at a public portal to published and accessible Linked Data with the help of the tools and features of the platform.
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