Dr. Amrapali Zaveri

Dr. Amrapali Zaveri
Depiction of Dr. Amrapali Zaveri
Address Work
Email Office
Fax Work
+49-341-229037-99

+In Memoriam @Google+ @GoogleScholar @LinkedIn @SlideShare @Twitter Homepage

Past Projects

  • aksw.orga linked data driven web page rendered by OntoWiki site extension
  • Analyzing Cognitive Evolution using Linked DataTowards Biomedical Data Integration for Analyzing the Evolution of Cognition
  • CSVImportRepresenting multi-dimensional statistical data as RDF using the RDF Data Cube Vocabulary
  • DBpediaDQUser-driven quality evaluation of DBpedia
  • DBpediaDQCrowdCrowdsourcing DBpedia Quality Assessment
  • GHOPublishing and Interlinking the Global Health Observatory Dataset
  • HERObservatoryUsing Linked Data to Build an Observatory of Societal Progress Leveraging on Data Quality
  • Linked Data Quality SurveyQuality Assessment for Linked Data: A Survey
  • ReDD-ObservatoryUsing the Web of Data for Evaluating the Research-Disease Disparity
  • TripleCheckMateCrowdsourcing the evaluation of Linked Data
  • USPatentsPublishing and Interlinking the USPTO Patent Data

Publications

by (Editors: ) [BibTex of ]

News

SANSA 0.7.1 (Semantic Analytics Stack) Released ( 2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann)

2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.7.1 – the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Read more about "SANSA 0.7.1 (Semantic Analytics Stack) Released"

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"

DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released ( 2019-09-24T22:41:46+02:00 by Simon Bin)

2019-09-24T22:41:46+02:00 by Simon Bin

Dear all, The Smart Data Analytics group [1] and the E.T.-db-MOLE sub-group located at the InfAI Leipzig [2] is happy to announce DL-Learner 1.4. DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. Read more about "DL-Learner 1.4 (Supervised Structured Machine Learning Framework) Released"

DBpedia Day @ SEMANTiCS 2019 ( 2019-08-01T10:35:05+02:00 Sandra Bartsch)

2019-08-01T10:35:05+02:00 Sandra Bartsch

 We are happy to announce that SEMANTiCS 2019 will host the 14th DBpedia Community Meeting at the last day of the conference on September 12, 2019. Read more about "DBpedia Day @ SEMANTiCS 2019"

LDK conference @ University of Leipzig ( 2019-03-22T09:21:41+01:00 by Julia Holze)

2019-03-22T09:21:41+01:00 by Julia Holze

With the advent of digital technologies, an ever-increasing amount of language data is now available across various application areas and industry sectors, thus making language data more and more valuable. Read more about "LDK conference @ University of Leipzig"