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...ses, and data quality Table 1. (Continued) Quality deficiency Issues Level Resolution method Ref Miss-match with the real-world - Resources without correspondence in real-world Instance Domain Expert =-=[6, 7, 10]-=- Syntax errors - Triples containing syntax errors Instance Validator [1] Misuse of data type / object property - Improper assignment of object property to the data type property or vice versa Instance...

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...ses, and data quality Table 1. (Continued) Quality deficiency Issues Level Resolution method Ref Miss-match with the real-world - Resources without correspondence in real-world Instance Domain Expert =-=[6, 7, 10]-=- Syntax errors - Triples containing syntax errors Instance Validator [1] Misuse of data type / object property - Improper assignment of object property to the data type property or vice versa Instance...

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...alidation of RDF datasets. The first group of related work investigates quality problems in published datasets. The most comprehensive work in this group discusses common errors in published datasets =-=[1]-=-. In another work, the quality problems of available datasets such as Geonames and DBPedia are identified using SPARQL queries [2]. The second group of works includes some tools for validating RDF dat...

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...two metrics (Im_DT and Sml_Cls) are defined to address intrinsic quality issues at the schema level, while the others are related to the intrinsic quality problems at the instance level. According to =-=[13]-=-, the preferred way for metric definition is to calculate the number of the undesirable outcomes divided by that of the total outcomes. Thus, all of the formulas presented for computation of quality d...

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...predicting the quality dimensions of a dataset using the values of the related metrics. We have undertaken similar studies for building predictive models of quality from metrics in our prior research =-=[15]-=-; and (ii) while in this paper, we have focused on quality issues of datasets which can be avoided before release, the quality issues after interlinking into the LOD remain to be further explored. Ref...

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...sive work in this group discusses common errors in published datasets [1]. In another work, the quality problems of available datasets such as Geonames and DBPedia are identified using SPARQL queries =-=[2]-=-. The second group of works includes some tools for validating RDF datasets, each with its own error-checking functionalities. Some of them are syntax validators which accept an RDF/XML document as in...

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...ologist [3] Invalid usage of Inverse-functional properties - Inverse-functional properties with void values Instance Automated [2] Quality Metrics for Linked Open Data 147 models have been considered =-=[5, 7, 9, 11, 12]-=-; the results of which were taken into account as guidelines for designing a useful set of metrics for our purpose. The proposed metrics are presented in Table 2. According to the definitions presente...

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..., 5] Improper definition of classes/properties - Classes with different name, but the same relations Schema Semi-Automated [3] - Properties with different name, but the same meaning Schema Ontologist =-=[6]-=- - Inadequate number of classes/properties used to describe the resources Schema Domain Expert [3] Misuse of data type - Not using appropriate data types for the literals Schema Automated [1, 2] Error...

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...e formulas presented for computation of quality deficiencies illustrate the undesirable outcomes using the ratio scale. The proposed metrics are theoretically validated in our recently published work =-=[14]-=-. Table 2. Proposed metrics Name Description Related quality deficiencies Miss_Vlu The ratio of the properties defined in the schema, but not presented in dataset Errors in property values Out_Vlu The...

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... To this end, our approach is based on several significant quality issues identified in already published datasets on LOD. To the extent of our experience in publishing and interlinking academic data =-=[3, 4]-=-, we found that many of the published datasets suffer from quality issues. We believe that most of these issues have roots in the deficiencies of the sources from where that data is extracted, and the...

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... To this end, our approach is based on several significant quality issues identified in already published datasets on LOD. To the extent of our experience in publishing and interlinking academic data =-=[3, 4]-=-, we found that many of the published datasets suffer from quality issues. We believe that most of these issues have roots in the deficiencies of the sources from where that data is extracted, and the...

Citation Context

...ologist [3] Invalid usage of Inverse-functional properties - Inverse-functional properties with void values Instance Automated [2] Quality Metrics for Linked Open Data 147 models have been considered =-=[5, 7, 9, 11, 12]-=-; the results of which were taken into account as guidelines for designing a useful set of metrics for our purpose. The proposed metrics are presented in Table 2. According to the definitions presente...

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... quality deficiencies Quality deficiency Issues Level Resolution method Ref Improper usage of vocabularies - Not using appropriate existing vocabularies to describe the resources Schema Domain Expert =-=[1, 5]-=- Redefining existing classes/properties - Redefining the classes/properties in the ontology that already exist in the vocabularies Schema Domain Expert [1, 5] Improper definition of classes/properties...