HAWK - hybrid question answering using linked data

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

The decentral architecture behind the Web has led to pieces of information being distributed across data sources with varying structure. Hence, answering complex questions often requires combining information from structured and unstructured data sources. We present HAWK, a novel entity search approach for Hybrid Question Answering based on combining Linked Data and textual data. The approach uses predicate argument representations of questions to derive equivalent combinations of SPARQL query fragments and text queries. These are executed so as to integrate the results of the text queries into SPARQL and thus generate a formal interpretation of the query. We present a thorough evaluation of the framework, including an analysis of the influence of entity annotation tools on the generation process of the hybrid queries and a study of the overall accuracy of the system. Our results show that HAWK achieves 0.68 respectively 0.61 F-measure within the training respectively test phases on the Question Answering over Linked Data (QALD-4) hybrid query benchmark.

Original languageEnglish
Title of host publicationThe Semantic Web : Latest Advances and New Domains - 12th European Semantic Web Conference, ESWC 2015, Proceedings
EditorsFabien Gandon, Harald Sack, Antoine Zimmermann, Marta Sabou, Claudia d’Amato, Philippe Cudré-Mauroux
Number of pages16
PublisherSpringer Nature Switzerland AG
Publication date01.01.2015
Pages353-368
ISBN (print)978-3-319-18817-1
ISBN (electronic)978-3-319-18818-8
DOIs
Publication statusPublished - 01.01.2015
Externally publishedYes
Event12th European Semantic Web Conference - ESWC 2015 - Portoroz, Slovenia
Duration: 31.05.201504.06.2015
Conference number: 12
https://2015.eswc-conferences.org/index.html
https://2015.eswc-conferences.org/call-challenges.html

Bibliographical note

This work has been supported by the ESF, the Free State of Saxony and the FP7 project GeoKnow (GA No. 318159)

Publisher Copyright:
© Springer International Publishing Switzerland 2015.