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Tools and Infrastructure for Supporting Enterprise Knowledge Graphs

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Advanced Data Mining and Applications (ADMA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10604))

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Abstract

We demonstrate EKG, a collection of tools and back-end infrastructure for creating custom, domain specific knowledge graphs. The toolkit is geared toward enterprises and government organizations where domain specific knowledge graphs are often not available. During the demo, audience members will be able to ingest their own documents and instantiate their own knowledge graphs and update them in real time. We will also present a demo app built using the toolkit consisting of more than 30 million entities and 192 million edges in order to demonstrate the kind of applications that could be built using the proposed toolkit. The app can be used to answer questions like who are the relevant persons named Steve in context of apple computers?, or who are the most important persons related to Barack Obama in context of healthcare reforms act? The functionalities of the toolkit are also exposed through REST APIs making it easier for developers to use the capabilities in their own applications.

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Notes

  1. 1.

    https://en.wikipedia.org/wiki/IBM_SystemT.

  2. 2.

    http://lucene.apache.org/solr/.

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Correspondence to Sumit Bhatia .

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Bhatia, S., Rajshree, N., Jain, A., Aggarwal, N. (2017). Tools and Infrastructure for Supporting Enterprise Knowledge Graphs. In: Cong, G., Peng, WC., Zhang, W., Li, C., Sun, A. (eds) Advanced Data Mining and Applications. ADMA 2017. Lecture Notes in Computer Science(), vol 10604. Springer, Cham. https://doi.org/10.1007/978-3-319-69179-4_60

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  • DOI: https://doi.org/10.1007/978-3-319-69179-4_60

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69178-7

  • Online ISBN: 978-3-319-69179-4

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