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 QA systems using a data-driven approach automatically.
@cite_8 described a first semantic approach towards coupling components together via RDF to tailor search pipelines using semantic, geospatial and full text search modules. Here, modules add semantic information to a query until the search intend can be solved.
@cite_8
1967058221
Over the last decade, a growing importance of search engines could be observed. An increasing amount of knowledge is exposed and connected within the Linked Open Data Cloud, which raises users' expectations to be able to search for any information that is directly or indirectly contained. However, diverse data types require tailored search functionalities---such as semantic, geospatial and full text search. Hence, using only one data management system will not provide the required functionality at the expected level. In this paper, we will describe search services that provide specific search functionality via a generalized interface inspired by RDF. In addition, we introduce an application layer on top of these services that enables to query them in a unified way. This allows for the implementation of a distributed search that leverages the identification of the optimal search service for each query and subquery. This is achieved by connecting powerful tools like Openlink Virtuoso, ElasticSearch and PostGIS within a single framework.