Towards a Message-Driven Vocabulary for Promoting the Interoperability of Question Answering Systems

Kuldeep Singh (1) , Andreas Both (2) , Dennis Diefenbach (3) , Saeedeh Shekarpour (4)

1 Fraunhofer IAIS - Fraunhofer Institute for Intelligent Analysis and Information Systems
2 Unister GmbH
3 LHC - Laboratoire Hubert Curien
4 Rheinische Friedrich-Wilhelms-Universität Bonn

—Question answering (QA) is one of the biggest challenges for making sense out of data. Web of Data has attracted the attention of question answering community and recently, a number of schema-aware question answering systems have been introduced. While research achievements are individually significant; yet, integrating different approaches is not possible due to lack of a systematic approach for conceptually describing QA systems. In this paper, we present a message-driven vocabulary built upon an abstract level. This vocabulary is concluded from conceptual views of different question answering systems. In this way, we are enabling researchers and industry to implement message-driven QA systems and to reuse and extend different approaches without the interoperability and extension concerns.

Mots clés: Semantic Web; Software Reusability; Question Answering; Semantic Search; Ontologies; Annotation Model

Domaines: Base de données [cs.DB]

Kuldeep Singh, Andreas Both, Dennis Diefenbach, Saeedeh Shekarpour. Towards a Message-Driven Vocabulary for Promoting the Interoperability of Question Answering Systems. ICSC 2016, May 2016, Marrakech, Morocco. ⟨hal-01637029⟩