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Towards an open question answering architecture

Published: 04 September 2014 Publication History

Abstract

Billions of facts pertaining to a multitude of domains are now available on the Web as RDF data. However, accessing this data is still a difficult endeavour for non-expert users. In order to meliorate the access to this data, approaches imposing minimal hurdles to their users are required. Although many question answering systems over Linked Data have being proposed, retrieving the desired data is still significantly challenging. In addition, developing and evaluating question answering systems remains a very complex task. To overcome these obstacles, we present a modular and extensible open-source question answering framework. We demonstrate how the framework can be used by integrating two state-of-the-art question answering systems. As a result our evaluation shows that overall better results can be achieved by the use of combination rather than individual stand-alone versions.

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Cited By

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  • (2024)Situational Data Integration in Question Answering systems: a survey over two decadesKnowledge and Information Systems10.1007/s10115-024-02136-066:10(5875-5918)Online publication date: 18-Jun-2024
  • (2024)TraQuLA: Transparent Question Answering Over RDF Through Linguistic AnalysisWeb Engineering10.1007/978-3-031-62362-2_2(19-33)Online publication date: 16-Jun-2024
  • (2022)Querying multidimensional big data through a chatbot systemProceedings of the 37th ACM/SIGAPP Symposium on Applied Computing10.1145/3477314.3507692(381-384)Online publication date: 25-Apr-2022
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cover image ACM Other conferences
SEM '14: Proceedings of the 10th International Conference on Semantic Systems
September 2014
161 pages
ISBN:9781450329279
DOI:10.1145/2660517
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

  • St. Pölten University: St. Pölten University of Applied Sciences, Austria
  • University of Potsdam: University of Potsdam
  • PoolParty: PoolParty (Semantic Web Company GmbH)
  • University of Vienna: University of Vienna
  • Wolters Kluwer: Wolters Kluwer, Germany
  • Semantic Web Company: Semantic Web Company
  • STII: STI International
  • DBpedia Association: DBpedia Association

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 September 2014

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SEM '14
Sponsor:
  • St. Pölten University
  • University of Potsdam
  • PoolParty
  • University of Vienna
  • Wolters Kluwer
  • Semantic Web Company
  • STII
  • DBpedia Association

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SEM '14 Paper Acceptance Rate 22 of 59 submissions, 37%;
Overall Acceptance Rate 22 of 59 submissions, 37%

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Cited By

View all
  • (2024)Situational Data Integration in Question Answering systems: a survey over two decadesKnowledge and Information Systems10.1007/s10115-024-02136-066:10(5875-5918)Online publication date: 18-Jun-2024
  • (2024)TraQuLA: Transparent Question Answering Over RDF Through Linguistic AnalysisWeb Engineering10.1007/978-3-031-62362-2_2(19-33)Online publication date: 16-Jun-2024
  • (2022)Querying multidimensional big data through a chatbot systemProceedings of the 37th ACM/SIGAPP Symposium on Applied Computing10.1145/3477314.3507692(381-384)Online publication date: 25-Apr-2022
  • (2022)Towards a Robust and Scalable Information Retrieval Framework in Big Data Context2022 9th NAFOSTED Conference on Information and Computer Science (NICS)10.1109/NICS56915.2022.10013446(211-216)Online publication date: 31-Oct-2022
  • (2022)Talk to Your Data: a Chatbot System for Multidimensional Datasets2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)10.1109/COMPSAC54236.2022.00092(486-495)Online publication date: Jun-2022
  • (2020)Towards a question answering system over the Semantic WebSemantic Web10.3233/SW-19034311:3(421-439)Online publication date: 1-Jan-2020
  • (2020)Question Answering on Scholarly Knowledge GraphsDigital Libraries for Open Knowledge10.1007/978-3-030-54956-5_2(19-32)Online publication date: 17-Aug-2020
  • (2020)QAnswer KG: Designing a Portable Question Answering System over RDF DataThe Semantic Web10.1007/978-3-030-49461-2_25(429-445)Online publication date: 27-May-2020
  • (2020)How to Use a Knowledge GraphKnowledge Graphs10.1007/978-3-030-37439-6_3(69-93)Online publication date: 1-Feb-2020
  • (2019)Robot Semantic Protocol (RoboSemProc) for Semantic Environment Description and Human–Robot CommunicationInternational Journal of Social Robotics10.1007/s12369-019-00580-5Online publication date: 17-Aug-2019
  • Show More Cited By

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