Book ChapterDOI
QuerioDALI: Question Answering Over Dynamic and Linked Knowledge Graphs
Vanessa Lopez,Pierpaolo Tommasi,Spyros Kotoulas,Jiewen Wu +3 more
- pp 363-382
TLDR
This work presents a domain-agnostic system for Question Answering over multiple semi-structured and possibly linked datasets without the need of a training corpus, and evaluates QuerioDALI with two open-domain benchmarks and a biomedical one over Linked Open Data sources.Abstract:
We present a domain-agnostic system for Question Answering over multiple semi-structured and possibly linked datasets without the need of a training corpus. The system is motivated by an industry use-case where Enterprise Data needs to be combined with a large body of Open Data to fulfill information needs not satisfied by prescribed application data models. Our proposed Question Answering pipeline combines existing components with novel methods to perform, in turn, linguistic analysis of a query, named entity extraction, entity/graph search, fusion and ranking of possible answers. We evaluate QuerioDALI with two open-domain benchmarks and a biomedical one over Linked Open Data sources, and show that our system produces comparable results to systems that require training data and are domain-dependent. In addition, we analyze the current challenges and shortcomings.read more
Citations
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Journal ArticleDOI
Core techniques of question answering systems over knowledge bases: a survey
TL;DR: An overview of the techniques used in current QA systems over KBs is given, which were evaluated on a popular series of benchmarks: Question Answering over Linked Data and WebQuestions.
Proceedings ArticleDOI
Automated Template Generation for Question Answering over Knowledge Graphs
TL;DR: QUINT, a system that automatically learns utterance-query templates solely from user questions paired with their answers, is presented, able to harness language compositionality for answering complex questions without having any templates for the entire question.
Journal ArticleDOI
Towards a Question Answering System over the Semantic Web
TL;DR: In this paper, the authors introduce a new approach for translating natural language questions to SPARQL queries, which is able to query several knowledge bases simultaneously, in different languages, and can easily be ported to other knowledge bases and languages.
Proceedings ArticleDOI
WDAqua-core1: A Question Answering service for RDF Knowledge Bases
TL;DR: WDAqua-core1 is described, a QA service for querying RDF knowledge-bases, which is multilingual, it supports different RDFknowledge bases and it understands both full natural language questions and keyword questions.
Journal ArticleDOI
BioSearch: a semantic search engine for Bio2RDF.
TL;DR: This work proposes BioSearch — a semantic search engine that uses ontologies to enhance federated query construction and organize search results, which features a simplified query interface that allows users to optionally filter their keywords according to classes, properties and datasets.
References
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