CubeViz.js: A Lightweight Framework for Discovering and Visualizing RDF Data Cubes

In this paper we present CubeViz.js, the successor of CubeViz, as an approach for lightweight visualization and exploration of statistical data using the RDF Data Cube vocabulary. In several use cases, such as the European Unions Open Data Portal, in which we deployed CubeViz, we were able to gather various requirements that eventually led to the decision of reimplementing CubeViz as JavaScript-only application. As part of this paper we showcase major functionalities of CubeViz.js and its improvements in comparison to the prior version

Multi-Level Visual Tours of Weather Linked Data

International audienceThe recent trend of adopting linked-data principles to integrate and publish semantically described open data using W3C standards has led to a large amount of available resources. In particular, meteorological sensor data have been uplifted into public weather-focused RDF graphs, such as WeKG-MF which offers access to a large set of meteorological variables described through spatial and temporal dimensions. Nevertheless, these resources include huge numbers of raw observations that are tedious to explore by lay users. In this article, we aim at providing them with visual exploratory "tours", benefiting from RDF data cubes to present high-level aggregated views together with on-demand fine-grained details through a unified Web interface

Facilitating the Exploitation of Linked Open Statistical Data: JSON-QB API Requirements and Design Criteria

Recently, many organizations have opened up their data for others to reuse. A major part of these data concern statistics such as demographic and social indicators. Linked Data is a promising paradigm for opening data because it facilitates data integration on the Web. Re- cently, a growing number of organizations adopted linked data paradigm and provided Linked Open Statistical Data (LOSD). These data can be exploited to create added value services and applications that require integrated data from multiple sources. In this paper, we suggest that in order to unleash the full potential of LOSD we need to facilitate the interaction with LOSD and hide most of the complexity. Moreover, we describe the requirements and design criteria of a JSON-QB API that (i) facilitates the development of LOSD tools through a style of interaction familiar to web developers and (ii) offers a uniform way to access LOSD. A proof of concept implementation of the JSON-QB API demonstrates part of the proposed functionality

CEDAR: The Dutch Historical Censuses as Linked Open Data

In this document we describe the CEDAR dataset, a five-star Linked Open Data representation of the Dutch historical censuses, conducted in the Netherlands once every 10 years from 1795 to 1971. We produce a linked dataset from a digitized sample of 2,288 tables. The dataset contains more than 6.8 million statistical observations about the demography, labour and housing of the Dutch society in the 18th, 19th and 20th centuries. The dataset is modeled using the RDF Data Cube vocabulary for multidimensional data, uses Open Annotation to express rules of data harmonization, and keeps track of the provenance of every single data point and its transformations using PROV. We link these observations to well known standard classification systems in social history, such as the Historical International Standard Classification of Occupations (HISCO) and the Amsterdamse Code (AC), which in turn link to DBpedia and GeoNames. The two main contributions of the dataset are the improvement of data integration and access for historical research, and the emergence of new historical data hubs, like classifications of historical religions and historical house types, in the Linked Open Data cloud

Exploring meta-analysis for historical corpus linguistics based on linked data

Empirical work on English historical corpus linguistics is plentiful but fragmented, and some of it is hard to come by. This paper proposes a solution for making it more accessible and reusable for meta-analysis. We present an online Language Change Database (LCD), which provides comparative, real-time baseline data from earlier corpus-based studies. LCD entries summarize the findings and include numerical data from the articles. We discuss the LCD from the perspective of database design and linked data management. Furthermore, we illustrate the reuse of LCD data through a meta-analysis of the history of English connectives. For this purpose, we have developed an application called the LCD Aggregated Data Analysis workbench (LADA). We show how researchers can use LADA to filter, refine and visualize LCD data. Thus we are paving the way for a future where both research results and research data are regularly available for verification, validation and re-use.Peer reviewe

Just-in-time" generation of datasets by considering structured representations of given consent for GDPR compliance

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