Self-Wiring Question Answering Systems
Ricardo Usbeck, Jonathan Huthmann, Nico Duldhardt, Axel-Cyrille Ngonga, Ngomo

TL;DR
This paper proposes a self-wiring approach for question answering systems that enables automatic composition and reuse of QA modules using Web Ontology Language descriptions, aiming to accelerate development.
Contribution
It introduces a novel self-wiring method that automates QA system assembly through ontology-based module descriptions, enhancing reusability and development speed.
Findings
Conceptual framework for self-wiring QA systems
Use of Web Ontology Language for module description
Automatic, data-driven QA system composition
Abstract
Question answering (QA) has been the subject of a resurgence over the past years. The said resurgence has led to a multitude of question answering (QA) systems being developed both by companies and research facilities. While a few components of QA systems get reused across implementations, most systems do not leverage the full potential of component reuse. Hence, the development of QA systems is currently still a tedious and time-consuming process. We address the challenge of accelerating the creation of novel or tailored QA systems by presenting a concept for a self-wiring approach to composing QA systems. Our approach will allow the reuse of existing, web-based QA systems or modules while developing new QA platforms. To this end, it will rely on QA modules being described using the Web Ontology Language. Based on these descriptions, our approach will be able to automatically compose…
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Semantic Web and Ontologies
