QAnswer: Towards Question Answering Search over Websites
Kunpeng Guo Clement Defretiere Dennis Diefenbach Christophe Gravier Antoine Gourru
Question Answering (QA) is increasingly used by search engines to provide
results to their end-users, yet very few websites currently use QA technologies
for their search functionality. To illustrate the potential of QA technologies
for the website search practitioner, we demonstrate web searches that combine
QA over knowledge graphs and QA over free text -- each being usually tackled
separately. We also discuss the different benefits and drawbacks of both
approaches for web site searches. We use the case studies made of websites
hosted by the Wikimedia Foundation (namely Wikipedia and Wikidata). Differently
from a search engine (e.g. Google, Bing, etc), the data are indexed integrally,
i.e. we do not index only a subset, and they are indexed exclusively, i.e. we
index only data available on the corresponding website.