Fast In-Memory Reasoner for Oracle NoSQL Database EE: Uncover Hidden Relationships that Exist in Your Enterprise Data

Zhe Wu, Gabriela Montiel, Yuan Ren, Jeff Z Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Graph databases and NoSQL databases, two very important topics in Big Data, have gained popularity in recent years due to their unique characteristics in their horizontally scale-out capability and flexible schema or schema-free design. The recent release of OWL-DBC , an adaptor between Oracle Spatial and Graph and the TrOWL reasoner [2, 1], has built a tight integration between one of the leading industrial graph databases and the cutting edge, in-memory, semantic reasoner to achieve high quality and efficient semantic reasoning on large scale enterprise data.
Original languageEnglish
Title of host publicationProceedings of the Industry Track at the International Semantic Web Conference 2014
EditorsAxel Polleres, Alexander Garcia, Richard Benjamins
PublisherCEUR Workshop Proceedings
Number of pages2
Volume1383
Publication statusPublished - 15 Jun 2015
EventISWC 2014 - Trentino, Italy
Duration: 19 Oct 201423 Oct 2014

Publication series

NameIndustry Track at the International Semantic Web Conference 2014
PublisherCEUR Workshop Proceedings
Volume1383
ISSN (Electronic)1613-0073

Conference

ConferenceISWC 2014
Country/TerritoryItaly
Period19/10/1423/10/14

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