Heba Mohamed

[SDA Research @SDA_Research]

Do you want to compute dataset statistics for large-scale OWL datasets? Then check out OWLStats, a distributed in-memory approach for computing 50 statistical criteria for OWL datasets utilizing Apache Spark.
More details at: https://t.co/dr9wz1EXhC
#semanticweb

[Published in OR/MS, Ind. Eng. & Ops Management @ORMS_IEOM]

Efficient computation of comprehensive statistical information of large OWL datasets: a scalable approach: . https://t.co/CR7SI5FWSJ #enterprise #informationsystems #EIS

[Jens Lehmann @JLehmann82]

I am extremely excited to join @amazon @alexa99 AI today and start a new chapter in my scientific career working in an excellent environment on question answering, knowledge graphs, reasoning, natural language understanding and more generally the future of conversational AI.

[SDA Research @SDA_Research]

Do you want to evaluate the #linkprediction capabilities of your #knowledgegraphembeddingmodel on a diverse set of datasets?
Then check out our recent #NeurIPS paper in which we present a novel set of datasets: https://t.co/GyWQxW8hLz
#machinelearning #knowledegegraphs

[SDA Research @SDA_Research]

Do you need to perform reasoning over
large-scale OWL datasets?
Then check out our recent #KEOD21 paper.
More details at: https://t.co/dNx9BGwFky
#bigdata #semanticweb #webontologylanguage #distributedcomputing

[SDA Research @SDA_Research]

Do you require embeddings for a KG with many N to M relations?
Then check out our model Trans4E, which is described in our paper published in #Neurocomputing.
More details at: https://t.co/bQStfcyQzs
#knowledgegraphembeddings #knowledgegraphs #linkprediction

[SDA Research @SDA_Research]

In our four accepted #ESWC21 papers, we describe our recent works covering #conversationalai, #questionanswering, and a knowledge graph for enabling defect traceability and customer service analytics.
Interested? More details at: https://t.co/5m5ckpGyn6

[SDA Research @SDA_Research]

#linkprediction based on local and global graph features of entities?
Answer verbalization in #questionanswering through multi-task learning?
Check out our #ECML21 papers: https://t.co/tITAmRidly

[SDA Research @SDA_Research]

We are thrilled that our paper describing our #knowledgegraphembeddingmodel LogicENN has been published in #TPAMI (IF: 16.389). LogicENN can learn every ground truth of encoded rules in a knowledge graph.
More details at: https://t.co/eY3dhsW4tQ
#knowledgegraphs #linkprediction

[SDA Research @SDA_Research]

Do you want to compute explainable feature matrices for large-scale #RDF graphs?
Then check out our generic, distributed, and scalable software framework described in our #SEMANTICS21 paper.
More details at: https://t.co/x3xpv8qdWw
#knowledgegraphs #machinelearning #semanticweb

[SDA Research @SDA_Research]

We are happy that we got two papers accepted at #KEOD2020. We present a distributed approach for parsing large-scale OWL datasets and the Physics #Ontology (PhySci) to represent physics-related scholarly data. More details at https://t.co/qbwNNnv7XO
#semanticweb

[SDA Research @SDA_Research]

With OWLStats, you can compute statistics for large-scale OWL datasets.
For further information, check out our #WIIAT20 paper: https://t.co/kP5sS92fQh
#semanticweb #apachespark

[KR4L @KR4Learning]

We are happy to announce "call for paper" at https://t.co/KPLDtVg7YS @ECAI2020 Looking forward to have your research contribution submitted and presented at #KR4L #RepresentationLearning #KnowledgeGraph

[SANSA @SANSA_Stack]

We are very happy to announce the 0.7.1 release of the SANSA (Semantic ANalytics StAck) framework - for large-scale analysis, inference, and querying of knowledge graphs! https://t.co/QPSNHa50Tr #AI #machinelearning #semanticweb #apachespark #apacheflink #knowledgegraphs

[Giulio Napolitano @giulionapo]

Shimaa Ibrahim presenting Cross-lingual Ontology Enrichment @SemanticsConf and generating great interest #SEMANTiCS2019 @SDA_Research @shmkhaled

[SDA Research @SDA_Research]

@sm_fathalla is presenting the work about "EVENTSKG: A 5-Star Dataset of Top-ranked Events in Eight Computer Science Communities" @eswc_conf #eswc2019
https://t.co/bF88h1gNN1

[SDA Research @SDA_Research]

The SDA team wishes you a Merry Christmas!

[AskNowQA @AskNowQA]

We are very happy to announce the 0.1 release of the AskNow Question Answering components and tools! https://t.co/4o7VRfbbU7 https://t.co/ZaZk1gh5TQ #QuestionAnswering #AI #MachineLearning #SemanticWeb #KnowledgeGraphs #LinkedData @SDA_Research @eis_bonn

[SANSA @SANSA_Stack]

A very interesting analysis of hubs and authorities in the #Ethereum transaction network by @AlethioEthstats powered by SANSA: https://t.co/tDBkIY9SFt #semantics #rdf #blockchain #ethereum #SPARK #KnowledgeGraph

[SANSA @SANSA_Stack]

More efficient #RDF N-Triples #Parser introduced in #SANSA: Parsing Improvements of up to an order of Magnitude, e.g. #DBpedia can be read in <100 seconds on a 7 node cluster! More details at https://t.co/NZs2Je7l3K
#ApacheSpark #semantics #BigData