Our full paper "DRAGON: Decision Tree Learning for Link Discovery" will be presented at #ICWE2019. Check out the abstract below. #MachineLearning#XAI#linkeddata
@GeiserProject Although we've been in Karlsruhe several times, this time it was in Leipzig (Paulinum building of the university in the background). #ftfy
Dice Researcher @saleem_muhamad will present “Costfed: Cost-Based Query Optimization for SPARQL Endpoint Federation” @SemanticsConf. Go here https://t.co/KiTde8ALT2 for more about the tool performing 3-121 times faster than the current federation engines #DataScience#LinkedData
Congratulations DICEers, @saleem_muhamad and @NgongaAxel (and Ali Hasnain, & Dietrich Rebholz-Schuhmann)! Best paper award at SSWS2018, “Extending Large RDFBench for multi source data at scale for SPARQL Endpoint Federation” #DataScience#LinkedData#MachineLearning
Our paper "Extending LargeRDFBench for multi source data at scale for SPARQL Endpoint Federation", has been accepted for presentation at #SSWS2018 workshop at #ISWC2018 https://t.co/mQxePIcFX2
BLOG POST! New version of MAG (Multilingual AGDISTIS) released that supports 40 different languages using sophisticated indices with a Wikidata index. Read more at https://t.co/VN6tgwZO1N #DataScience#LinkedData#MachineLearning
Thanks to all participants of the Geospatial Linked Data workshop at #eswc2018. The #geold2018 proceedings can be found at https://t.co/5tqstvE23M (joint proceedings with @QuWeDaWorkshop#quweda2018). Find all presentations at https://t.co/1qSrbMCHZV
„DCAT-AP already has been implemented by several data portals across Europe like @EU_DataPortal https://t.co/qtYJ1zYusc https://t.co/OIvmpK1MBE https://t.co/XShWwPgnss https://t.co/ns7aC2uNUj https://t.co/7sjklUDm9W & https://t.co/jOmUmganCf“👏🏻@CH_Bundesarchiv#interoperability https://t.co/TRJ1VTSnEU