Creation and interaction with large-scale domain-specific knowledge bases

The ability to create and interact with large-scale domain-specific knowledge bases from unstructured/semi-structured data is the foundation for many industry-focused cognitive systems. We will demonstrate the Content Services system that provides cloud services for creating and querying high-qualit...

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Bibliographic Details
Published in:Proceedings of the VLDB Endowment 2017-08, Vol.10 (12), p.1965-1968
Main Authors: Bharadwaj, S., Chiticariu, L., Danilevsky, M., Dhingra, S., Divekar, S., Carreno-Fuentes, A., Gupta, H., Gupta, N., Han, S.-D., Hernández, M., Ho, H., Jain, P., Joshi, S., Karanam, H., Krishnan, S., Krishnamurthy, R., Li, Y., Manivannan, S., Mittal, A., Özcan, F., Quamar, A., Raman, P., Saha, D., Sankaranarayanan, K., Sen, J., Sen, P., Vaithyanathan, S., Vasa, M., Wang, H., Zhu, H.
Format: Article
Language:English
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Summary:The ability to create and interact with large-scale domain-specific knowledge bases from unstructured/semi-structured data is the foundation for many industry-focused cognitive systems. We will demonstrate the Content Services system that provides cloud services for creating and querying high-quality domain-specific knowledge bases by analyzing and integrating multiple (un/semi)structured content sources. We will showcase an instantiation of the system for a financial domain. We will also demonstrate both cross-lingual natural language queries and programmatic API calls for interacting with this knowledge base.
ISSN:2150-8097
2150-8097
DOI:10.14778/3137765.3137820