Question answering (QA) systems focus on making sense out of data via an easy-to-use interface. However, these systems are very complex and integrate a lot of technology tightly. Previously presented QA systems are mostly singular and monolithic implementations. Hence, their reusability is limited. In contrast, we follow the research agenda of establishing an ecosystem for components of QA systems, which will enable the QA community to elevate the reusability of such components and to intensify their research activities. In this paper, we present a reference implementation of the Qanary methodology for creating QA systems. Qanary relies on linked data vocabularies and provides a fast track to integrating QA components into a light-weight, m...
AbstractThe need to query information content available in various formats including structured and ...
Recently remarkable trials of the question answering (QA) community yielded in developing core compo...
The past years have seen a growing amount of research on question answering (QA) over Semantic Web d...
International audienceQuestion answering (QA) systems focus on making sense out of data via an easy-...
Establishing a Question Answering (QA) system is time consuming. One main reason is the involved fie...
International audienceEstablishing a Question Answering (QA) system is time consuming. One main reas...
It is very challenging to access the knowledge expressed within (big) data sets. Question answering ...
The field of Question Answering (QA) is very multidisciplinary as it requires expertise from a large...
International audienceThe field of Question Answering (QA) is very multi-disciplinary as it requires...
International audienceIt is very challenging to access the knowledge expressed within (big) data set...
Question answering (QA) is one of the biggest challenges for making sense out of data. The Web of Da...
International audienceProviding a general and efficient Question Answering system over Knowledge Bas...
Abstract—Question answering (QA) is one of the biggest chal-lenges for making sense out of data. Web...
In this paper, we motivate the need for a publicly available, generic software framework for questio...
The demand for interfaces that allow users to interact with computers in an intuitive, effective, an...
AbstractThe need to query information content available in various formats including structured and ...
Recently remarkable trials of the question answering (QA) community yielded in developing core compo...
The past years have seen a growing amount of research on question answering (QA) over Semantic Web d...
International audienceQuestion answering (QA) systems focus on making sense out of data via an easy-...
Establishing a Question Answering (QA) system is time consuming. One main reason is the involved fie...
International audienceEstablishing a Question Answering (QA) system is time consuming. One main reas...
It is very challenging to access the knowledge expressed within (big) data sets. Question answering ...
The field of Question Answering (QA) is very multidisciplinary as it requires expertise from a large...
International audienceThe field of Question Answering (QA) is very multi-disciplinary as it requires...
International audienceIt is very challenging to access the knowledge expressed within (big) data set...
Question answering (QA) is one of the biggest challenges for making sense out of data. The Web of Da...
International audienceProviding a general and efficient Question Answering system over Knowledge Bas...
Abstract—Question answering (QA) is one of the biggest chal-lenges for making sense out of data. Web...
In this paper, we motivate the need for a publicly available, generic software framework for questio...
The demand for interfaces that allow users to interact with computers in an intuitive, effective, an...
AbstractThe need to query information content available in various formats including structured and ...
Recently remarkable trials of the question answering (QA) community yielded in developing core compo...
The past years have seen a growing amount of research on question answering (QA) over Semantic Web d...