Question Answering on Linked Data: Challenges and Future Directions

January 14, 2016 Β· Declared Dead Β· πŸ› The Web Conference

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Authors Saeedeh Shekarpour, Denis Lukovnikov, Ashwini Jaya Kumar, Kemele Endris, Kuldeep Singh, Harsh Thakkar, Christoph Lange arXiv ID 1601.03541 Category cs.IR: Information Retrieval Citations 21 Venue The Web Conference Last Checked 4 months ago
Abstract
Question Answering (QA) systems are becoming the inspiring model for the future of search engines. While recently, underlying datasets for QA systems have been promoted from unstructured datasets to structured datasets with highly semantic-enriched metadata, but still question answering systems involve serious challenges which cause to be far beyond desired expectations. In this paper, we raise the challenges for building a Question Answering (QA) system especially with the focus of employing structured data (i.e. knowledge graph). This paper provide an exhaustive insight of the known challenges, so far. Thus, it helps researchers to easily spot open rooms for the future research agenda.
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