HAWK: Hybrid Question Answering over Linked Data

HAWK is going to drive forth the OKBQA vision of hybrid question answering using Linked Data and full-text information. Performance benchmarks are done on the QALD-4 task 3 hybrid.

Source Code Demo Issues

Introduction

Recent advances in question answering (QA) over Linked Data provide end users with more and more sophisticated tools for querying linked data by expressing their information need in natural language. This allows access to the wealth of structured data available on the Semantic Web also to non-experts. However, a lot of information is still available only in textual form, both on the Document Web and in the form of labels and abstracts in Linked Data sources. Therefore, a considerable number of questions can only be answered by using hybrid question answering approaches, which can find and combine information stored in both structured and textual data sources.

Architecture

The HAWK Architecture

We present HAWK, the (to best of our knowledge) first full-fledged hybrid QA framework for entity search over Linked Data and textual data.

Given an input query, HAWK implements an 8-step pipeline, which comprises 1) part-of-speech tagging, 2) detecting entities in the query, 3) dependency parsing and 4) applying linguistic pruning heuristics for an in-depth analysis of the natural language input. The results of these first four steps is a predicate-argument graph annotated with resources from the Linked Data Web. HAWK then 5) assign semantic meaning to nodes and 6) generates basic triple patterns for each component of the input query with respect to a multitude of features. This deductive linking of triples results in a set of SPARQL queries containing text operators as well as triple patterns. In order to reduce operational costs, 7) HAWK discards queries using several rules, e.g., by discarding not connected query graphs. Finally, 8) queries are ranked using extensible feature vectors and cosine similarity.

Supplementary material concerning the evaluation and implementation of HAWK can be found here

Project Team

Publications

by (Editors: ) [BibTex of ]

News

DBpedia @ SEMANTiCS 2017 ( 2017-09-04T15:25:14+02:00 by Sandra Bartsch)

2017-09-04T15:25:14+02:00 by Sandra Bartsch

We are happy to invite you to the 10th DBpedia Community Meeting which will be held in Amsterdam. During the SEMANTiCS 2017, Sep 11-14, the DBpedia Community will get together on the 14th of September for the DBpdia Day. Read more about "DBpedia @ SEMANTiCS 2017"

PRESS RELEASE: Amsterdam​ ​-​ ​this​ ​year’s​ ​hotspot​ ​​on Linked​ ​Data​ ​Strategies​ ​&​ ​Practices ( 2017-09-04T11:58:06+02:00 by Sandra Bartsch)

2017-09-04T11:58:06+02:00 by Sandra Bartsch

September 11-14, 2017 international experts from science and industry demonstrate the business value of smart data services at SEMANTiCS 2017 Experts from science and industry meet at Europe’s biggest Linked Data and Semantic Web event to present and discuss latest … Continue reading → Read more about "PRESS RELEASE: Amsterdam​ ​-​ ​this​ ​year’s​ ​hotspot​ ​​on Linked​ ​Data​ ​Strategies​ ​&​ ​Practices"

AKSW Colloquium, 01.09.2017, IDOL: Comprehensive & Complete LOD Insights ( 2017-08-28T17:24:03+02:00 Gustavo Publio)

2017-08-28T17:24:03+02:00 Gustavo Publio

At the AKSW Colloquium on Friday 1st of September, at 10:40 AM there will be a paper presentation by Gustavo Publio. Read more about "AKSW Colloquium, 01.09.2017, IDOL: Comprehensive & Complete LOD Insights"

AKSW at ISWC2017 ( 2017-07-30T05:57:57+02:00 Muhammad Saleem)

2017-07-30T05:57:57+02:00 Muhammad Saleem

We are very pleased to announce that AKSW will be presenting 2 papers at ISWC 2017, which will be held on 21-24 October in Vienna, Austria. The demo and workshops papers have to be announced. Read more about "AKSW at ISWC2017"

AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning ( 2017-07-06T21:24:36+02:00 by Daniel Obraczka)

2017-07-06T21:24:36+02:00 by Daniel Obraczka

At the AKSW Colloquium on Friday 7th of July, at 10:40 AM there will be two paper presentations concerning genetic algorithms to learn linkage rules, and differentiable learning of logical rules for knowledge base reasoning. Read more about "AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning"