Quality-Driven Query Answering for Integrated Information Systems

By Felix Naumann. Lecture Notes in Computer Science, 2002

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Sieve: linked data quality assessment and fusion (2012, background): “Which quality dimensions are relevant and which levels of quality are required for each dimension is determined by the specific task at hand and the subjective preferences of the information consumer [12].”
Open data quality measurement framework: Definition and application to Open Government Data (2016, background): “In the literature of data quality, several authors contributed to build an extensive list of data quality characteristics: see for instance Wand and Wang (1996), Wang and Strong (1996), Redman (1996), Jarke et al. (1995), Bovee et al. (2003), Naumann (2002), (Batini & Scannapieco, 2006).”
Linked Data: Evolving the Web into a Global Data Space (2011, methodology): “A method to integrate data quality assessment into query planning for federated architectures is presented in [85].”
Automating Large-Scale Data Quality Verification (2018, background): “There are multiple studies on measuring the extensional data quality [4, 30, 39].”
Quality assessment for Linked Data: A Survey (2015, background): “As a consequence, query answering can be increased in effectiveness and efﬁciency using data quality criteria [49].”
Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO (2017, methodology): “Timeliness does not describe the creation date of a statement, but instead the time range since the last update or the last verification of the statement [39].”