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

Question answering (QA) is one of the biggest challenges for making sense out of data. The Web of Data has attracted the attention of the QA community and recently, a number of schema-aware QA 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 QA systems. In this way, we are enabling researchers and industry to implement message-driven QA systems and to reuse and extend different approaches without interoperability and extension concerns.