The Semantic Web is an interoperable ecosystem where data producers, such as libraries, public institutions, communities, and companies, publish and link heterogeneous resources. To support this heterogeneity, its format, RDF, allows to describe collections of items sharing some attributes but not necessarily all of them. This flexible framework leads to incompleteness and inconsistencies in information representation, which in turn leads to unreliable query results. In order to make their data reliable and usable, Linked Data producers need to provide the best level of completeness . We propose a novel visualization tool" The Missing Path " to support data producers in diagnosing incompleteness in their data . It relies on dimensional reduction techniques to create a mapof RDF entities based on missing paths, revealing clusters of entities missing the same paths. The novelty of our work consists in describing the entities of interest as vectors of aggregated RDF paths of a fixed length. We show that identifying groups of items sharing a similar structure helps users find the cause of incompleteness for entire groups and allows them to decide if and how it has to be resolved. We describe our iterative design process and evaluation with Wikidata contributors .
Knowledge Graphs (KG) are incomplete by design; they allow to merge and connect heterogeneous data despite their differences. Nevertheless, KG data producers need to ensure the best level of completeness , as far as possible. The difficulty is that they have no means to distinguish cases where incomplete entities could and should be fixed. We present a new visualisation tool: The Missing Path , to support them in identifying coherent subsets of entities that can be repaired . It relies on a map, grouping entities according to their incomplete profile. The map is coordinated with histograms and stacked charts to support interactive exploration and analysis; the summary of a subset can be compared with the one of the full collection to reveal its distinctive features. We conduct an iterative design process and evaluation with 9 Wikidata contributors. Participants gain insights and find various strategies to identify coherent subsets to be fixed .
R
The Semantic Web is an interoperable ecosystem where data producers, such as libraries, public institutions, communities, and companies, publish and link heterogeneous resources. To support this heterogeneity, its format, RDF, allows to describe collections of items sharing some attributes but not necessarily all of them. This flexible framework leads to incompleteness and inconsistencies in information representation, which in turn leads to unreliable query results. In order to make their data reliable and usable, Linked Data
Knowledge Graphs (KG) are incomplete by design; they allow to merge and connect heterogeneous data despite their differences. Nevertheless, KG data
R
provide
ensure
R
. We propose a novel visualization tool"
, as far as possible. The difficulty is that they have no means to distinguish cases where incomplete entities could and should be fixed. We present a new visualisation tool:
R
" to support data producers in diagnosing incompleteness in their data
, to support them in identifying coherent subsets of entities that can be repaired
R
dimensional reduction techniques to create a mapof RDF entities based on missing paths, revealing clusters of entities missing the same paths. The novelty of our work consists in describing the entities of interest as vectors of aggregated RDF paths of a fixed length. We show that identifying groups of items sharing a similar structure helps users find the cause of incompleteness for entire groups and allows them to decide if and how it has to be resolved. We describe our
a map, grouping entities according to their incomplete profile. The map is coordinated with histograms and stacked charts to support interactive exploration and analysis; the summary of a subset can be compared with the one of the full collection to reveal its distinctive features. We conduct an
R
Wikidata contributors
9 Wikidata contributors. Participants gain insights and find various strategies to identify coherent subsets to be fixed