Balloon Fusion: SPARQL rewriting based on unified co-reference information

Schlegel, Kai; Stegmaier, Florian; Bayerl, Sebastian P.; Granitzer, Michael; Kosch, Harald

doi:10.1109/icdew.2014.6818335

Cited by 12 publications

(9 citation statements)

References 8 publications

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“…Due to the problems of co-reference between URIs, ontology mapping, etc. (Millard et al, 2010;Schlegel et al, 2014), widget linkage is currently supported only for datasets from the same endpoint. As a next step, we plan to address this limitation.…”

Section: Discussionmentioning

confidence: 99%

Widget-based Exploration of Linked Statistical Data Spaces

Trinh

Wetz

et al. 2014

Proceedings of 3rd International Conference on Data Management Technologies and Applications

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Today, public statistical data plays an increasingly important role both in public policy formation and as a facilitator for informed decision-making in the private sector. In line with the increasing adoption of open data policies, the amount of data published by governments and organizations on the web is growing rapidly. To increase the value of such data, the W3C recommends the RDF Data Cube Vocabulary to facilitate the publication of data in a more structured and interlinked manner. Although important first steps toward building a web of statistical Linked Datasets have been made, providing adequate facilities for end users to interactively explore and make use of the published data remains an unresolved challenge. This paper presents a widgetbased approach to deal with this issue. In particular, we introduce a mashup platform that allows users lacking advanced skills and knowledge of Semantic Web technologies to interactively analyze datasets through widget compositions and visualizations. Furthermore, we provide mechanisms for the interconnection of datasets to support sophisticated knowledge extraction.

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Section: Discussionmentioning

confidence: 99%

Widget-based Exploration of Linked Statistical Data Spaces

Trinh

Wetz

et al. 2014

Proceedings of 3rd International Conference on Data Management Technologies and Applications

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“…SPARQL-based crawling of co-reference information allows Glaser et al [8] to create a co-reference resolution service. Following a similar approach, Schlegel et al [22] build an on-the-fly query rewriting service. Compared to these approaches, we focus on matching values in disparate data sources to their equivalent URIs without using special predicates like owl:sameAs, 23 http://code-research.eu/ 24 http://www.planet-data.eu/ skos:exactMatch, etc.…”

Section: Example Mashupsmentioning

confidence: 97%

“…For example, the EEA and the EC utilize different URIs to describe the same geographical entities (e.g., a country), but these URIs are not linked to each other or referred to a common URI. Attempts to deal with this issue through crawling owl:sameAs relationships in data sources exist [8,22], but this approach cannot detect equivalent entities if the data sources lack owl:sameAs relationships, which often is the case. Another approach is to manually provide owl:sameAs relationships to integrate data from heterogeneous data sources [12,19].…”

Section: Introductionmentioning

confidence: 99%

Toward a statistical data integration environment

Trinh

Aryan

et al. 2015

Proceedings of the 11th International Conference on Semantic Systems

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In most government and business organizations alike, statistical data provides the foundation for strategic planning and for the management of operations. In this context, the use of increasingly abundant statistical data available on the web creates new opportunities for interesting applications and facilitates more informed decision-making. For the majority of end users, however, viable means to explore statistical data sets available on the web are still scarce. Gathering and relating statistical data from multiple sources is hence typically a tedious manual process that requires significant technical expertise. Data that is being published with associated semantics, using standards such as the W3C RDF Data Cube Vocabulary, lays the foundation to overcome such limitations. In this paper, we develop a semantic metadata repository that describes each statistical data set and develop mechanisms for the interconnection of data sets based on their metadata. Finally, we support users in exploring data sets through interactive mashups that facilitate data integration, comparisons, and visualization.

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“…This work is similar in spirit to ours, but we advance over it by (i) using a bigger corpus, (ii) analyzing the owl:sameAs graph at the level of individual resources instead of datasets (a graph of over 500M owl:sameAs links), and most importantly, (iii) computing and publishing the closure of this massive graph. Also in 2014, Schlegel et al [14] queried 200 SPARQL endpoints to obtain 17.6M owl:sameAs links over 2.4M IRIs for which they did compute the transitive closure, obtaining 8.4M equivalence classes. The dataset and analysis we present in this paper is an order of magnitude larger.…”

Section: Related Workmentioning

confidence: 99%

sameAs.cc: The Closure of 500M owl:sameAs Statements

et al. 2018

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The owl:sameAs predicate is an essential ingredient of the Semantic Web architecture. It allows parties to independently mint names, while at the same time ensuring that these parties are able to understand each other's data. An online resource that collects all owl:sameAs statements on the Linked Open Data Cloud has therefore both practical impact (it helps data users and providers to find different names for the same entity) as well as analytical value (it reveals important aspects of the connectivity of the LOD Cloud). This paper presents sameAs.cc: the largest dataset of identity statements that has been gathered from the LOD Cloud to date. We describe an efficient approach for calculating and storing the full equivalence closure over this dataset. The dataset is published online, as well as a web service from which the data and its equivalence closure can be queried.

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Balloon Fusion: SPARQL rewriting based on unified co-reference information

Cited by 12 publications

References 8 publications

Widget-based Exploration of Linked Statistical Data Spaces

Widget-based Exploration of Linked Statistical Data Spaces

Toward a statistical data integration environment

sameAs.cc: The Closure of 500M owl:sameAs Statements

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