Maintaining a Linked Data Cloud and Data Service for Second World War History

One of the great promises of Linked Data is to provide a shared data infrastructure into which new data can be imported and aligned with, forming a sustainable, ever growing Linked Data Cloud (LDC). This paper studies and evaluates this idea in the context of the WarSampo LDC that provides a data infrastructure for Second World War related ontologies and data in Finland, including several mutually linked graphs, totaling ca 12 million triples. Two data integration case studies are presented, where the original WarSampo LDC and the related semantic portal were first extended by a dataset of hundreds of war cemeteries and thousands of photographs of them, and then by another dataset of over 4450 Finnish prisoners of war. As a conclusion, lessons learned are explicated, based on hands-on experience in maintaining the WarSampo LDC in a production environment.Peer reviewe

Combining a REST Lexical Analysis Web Service with SPARQL for Mashup Semantic Annotation from Text

Abstract. Current automatic annotation systems are often monolithic, holding internal copies of both machine-learned annotation models and the reference vocabularies they use. This is problematic particularly for frequently changing references such as person and place registries, as the information in the copy quickly grows stale. In this paper, arguments and experiments are presented on the notion that sufficient accuracy and recall can both be obtained simply by combining a sufficiently capable lexical analysis web service with querying a primary SPARQL store, even in the case of often problematic highly inflected languages.

Modeling and Preserving Greek Government Decisions using Semantic Web Technologies and Permissionless Blockchains

<div>This fileset contains the dataset of decisions used in the experimental evaluation of Consistency Verifier, as described in the associated <i>Modeling and Preserving Greek Government Decisions using Semantic Web Technologies and Permisionless Blockchains</i>, ESWC 2018 paper.<br><br>The dataset has been generated by a tool (https://github.com/ThemisB/diavgeiaRedefined/blob/master/benchmarks/importer.js) that randomly creates decisions according to the <i>Diavgeia</i> ontology.</div