NL-Graphs: A hybrid approach toward interactively querying semantic data

ELBEDWEIHY, Khadija, MAZUMDAR, Suvodeep, WRIGLEY, Stuart N and CIRAVEGNA, Fabio (2014). NL-Graphs: A hybrid approach toward interactively querying semantic data. In: PRESUTTI, Valentina, D'AMATO, Caludia, GANDON, Fabien, D'AQUIN, Mathieu, STAAB, Steffen and TORDAI, Anna, (eds.) The semantic web : Trends and challenges : 11th International Conference, ESWC 2014 Anissaras, Crete, Greece, May 25-29, 2014 Proceedings. Lecture Notes in Computer Science (8465). Cham, Springer, 565-579.

Mazumdar-NL-GraphsAHybridApproach(AM).pdf - Accepted Version
All rights reserved.

Download (1MB) | Preview
Official URL:
Link to published version::
Related URLs:


A variety of query approaches have been proposed by the semantic web community to explore and query semantic data. Each was developed for a specific task and employed its own interaction mechanism; each query mechanism has its own set of advantages and drawbacks. Most semantic web search systems employ only one approach, thus being unable to exploit the benefits of alternative approaches. Motivated by a usability and interactivity perspective, we propose to combine two query approaches (graph-based and natural language) as a hybrid query approach. In this paper, we present NL-Graphs which aims to exploit the strengths of both approaches, while ameliorating their weaknesses. NL-Graphs was conceptualised and developed from observations, and lessons learned, in several evaluations with expert and casual users. The results of evaluating our approach with expert and casual users on a large semantic dataset are very encouraging; both types of users were highly satisfied and could effortlessly use the hybrid approach to formulate and answer queries. Indeed, success rates showed they were able to successfully answer all the evaluation questions.

Item Type: Book Section
Additional Information: Series ISSN : 0302-9743
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Identification Number:
Page Range: 565-579
Depositing User: Suvodeep Mazumdar
Date Deposited: 19 Jan 2018 09:33
Last Modified: 18 Mar 2021 15:48

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics