Question answering and knowledge graphs

Alessandro Moschitti*, Kateryna Tymoshenko, Panos Alexopoulos, Andrew Walker, Massimo Nicosia, Guido Vetere, Alessandro Faraotti, Marco Monti, Jeff Z. Pan, Honghan Wu, Yuting Zhao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

In the Digital and Information Age, companies and government agencies are highly digitalized, as the information exchanges happening in their processes. They store information both as natural language text and structured data, e.g., relational databases or knowledge graphs. In this scenario, methods for organizing, finding, and selecting relevant information, beyond the capabilities of classic Information Retrieval, are always active topics of research and development.

Original languageEnglish
Title of host publicationExploiting Linked Data and Knowledge Graphs in Large Organisations
EditorsJeff Z Pan, Guido Vetere, Jose Manuel Gomez-Perez, Honghan Wu
PublisherSpringer International Publishing AG
Pages181-212
Number of pages32
ISBN (Electronic)9783319456546
ISBN (Print)9783319456522
DOIs
Publication statusPublished - 24 Jan 2017

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Keywords

  • Mean average precision
  • Name entity recognition
  • Natural language processing
  • Parse tree
  • Question answering

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Moschitti, A., Tymoshenko, K., Alexopoulos, P., Walker, A., Nicosia, M., Vetere, G., ... Zhao, Y. (2017). Question answering and knowledge graphs. In J. Z. Pan, G. Vetere, J. M. Gomez-Perez, & H. Wu (Eds.), Exploiting Linked Data and Knowledge Graphs in Large Organisations (pp. 181-212). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-45654-6_7