https://w3id.org/scholarlydata/inproceedings/iswc-2018-poster_and_demo-372Property: http://www.w3.org/1999/02/22-rdf-syntax-ns#typehttps://w3id.org/scholarlydata/ontology/conference-ontology.owl#InProceedingsProperty: http://www.w3.org/2000/01/rdf-schema#labelSTATisfy Me: What are my stats?Property: http://purl.org/dc/elements/1.1/creatorhttps://w3id.org/scholarlydata/person/mohamed-nadjib-mamihttps://w3id.org/scholarlydata/person/jens-lehmannhttps://w3id.org/scholarlydata/person/gezim-sejdiuhttps://w3id.org/scholarlydata/person/ivan-ermilovProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#abstractThe increasing adoption of the Linked Data format, RDF, over the last two decades has brought new opportunities.
It has also raised new challenges though, especially when it comes to managing and processing large amounts of RDF data.
Assessing the internal structure of such data is paramount, as it enables more understanding of the data.
One prominent way of assessment is computing statistics about the data components, like properties and classes.
However, computing statistics of large RDF data is compute-intensive.
To overcome this challenging situation, we previously built DistLODStats, a framework for parallel calculation of 32 statistical criteria over large RDF datasets, based on Spark.
Running DistLODStats is, thus, done via submitting jobs to a Spark cluster.
Often times, this process is done manually, either by connecting to the cluster machine or via a dedicated resource manager.
This approach is inconvenient as it requires acquiring new software skills, as well as the directinteraction of users with the cluster.
In order to make the use of DistLODStats easier, we propose in this paper an approach for triggering RDF statistics calculation remotely simply using HTTP requests. DistLODStats is built as a plugin into the larger SANSA Framework and make use of Apache Livy, a novel lightweight solution for interacting with Spark cluster via a REST Interface.Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#hasAuthorListhttps://w3id.org/scholarlydata/authorlist/iswc-2018-poster_and_demo-372Property: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#isPartOfhttps://w3id.org/scholarlydata/conference/iswc/2018/proceedingsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#keywordSANSAlarge-scaleLivyRDF DatasetsSparkStatisticsSemantic WebREST APIBig DataAnalyticsProperty: https://w3id.org/scholarlydata/ontology/conference-ontology.owl#titleSTATisfy Me: What are my stats?