@inproceedings{ahme-etal-2016AMW,
	Abstract = {DBpedia is a community effort that has created the most important cross-domain datasets in RDF, a focal point of the Linked Open Data (LOD) cloud. In its core there is a set of declarative mappings extracting the data from Wikipedia infoboxes and tables into the RDF. However, while DBpedia focuses on publishing knowledge in a machine-readable way, little attention has been paid to the benefits of supporting machine updates. This greatly restricts the possibilities of automatic curation of the DBpedia data that could be semi-automatically propagated to Wikipedia, and also prevents maintainers from evaluating the impact of their edits on the consistency of knowledge. Excluding the DBpedia tax- onomy from the editing cycle is a major drawback which we aim to address. This paper starts a discussion of DBpedia making a case for a benchmark for Ontology-Based Data Management (OBDM). As we show, although based on fairly restricted mappings (which we cast as a variant of nested tgds here) and minimalistic TBox language, accommodating DBpedia updates is intricate from different perspectives, ranging from conceptual (what is an adequate semantics for DBpe- dia SPARQL updates?) to challenges related to the user interface design.
},
	Author = {Albin Ahmeti and Javier D. Fern\'andez and Axel Polleres and Vadim Savenkov},
	Booktitle = {Alberto Mendelzon International Workshop on Foundations of Data Management (AMW2016)},
	Month = jun,
        Day = {6--10},
	Year = 2016,
        Address = {Panama City, Panama},
        Note = {Short paper},
	Title = {Towards Updating {Wikipedia} via {DBpedia} Mappings and {SPARQL}},
	Type = WS,
        url = {http://polleres.net/publications/ahme-etal-2016AMW.pdf},
}

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This greatly restricts the possibilities of automatic curation of the DBpedia data that could be semi-automatically propagated to Wikipedia, and also prevents maintainers from evaluating the impact of their edits on the consistency of knowledge. Excluding the DBpedia tax- onomy from the editing cycle is a major drawback which we aim to address. This paper starts a discussion of DBpedia making a case for a benchmark for Ontology-Based Data Management (OBDM). As we show, although based on fairly restricted mappings (which we cast as a variant of nested tgds here) and minimalistic TBox language, accommodating DBpedia updates is intricate from different perspectives, ranging from conceptual (what is an adequate semantics for DBpe- dia SPARQL updates?) to challenges related to the user interface design. 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