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Author, Editor

Author(s):

Yahya, Mohamed
Berberich, Klaus
Elbassuoni, Shady
Weikum, Gerhard

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Not MPG Author(s):

Elbassuoni, Shady

Editor(s):

He, Qi
Iyengar, Arun
Nejdl, Wolfgang
Pei, Jian
Rastogi, Rajeev

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Not MPII Editor(s):

He, Qi
Iyengar, Arun
Nejdl, Wolfgang
Pei, Jian
Rastogi, Rajeev

BibTeX cite key*:

Yahya2013

Title, Booktitle

Title*:

Robust question answering over the web of linked data

Booktitle*:

CIKM'13 : The Proceedings of the 22nd ACM International Conference on Information and Knowledge Management

Event, URLs

URL of the conference:

http://cikm2013.org

URL for downloading the paper:

http://dx.doi.org/10.1145/2505515.2505677

Event Address*:

San Francisco, California, USA

Language:

English

Event Date*
(no longer used):


Organization:

Association for Computing Machinery (ACM)

Event Start Date:

27 October 2013

Event End Date:

1 November 2013

Publisher

Name*:

ACM

URL:

http://www.acm.org

Address*:

New York, NY, USA

Type:


Vol, No, Year, pp.

Series:


Volume:


Number:


Month:

October

Pages:

1107-1116

Year*:

2013

VG Wort Pages:

10

ISBN/ISSN:

978-1-4503-2263-8

Sequence Number:


DOI:

10.1145/2505515.2505677



Note, Abstract, ©


(LaTeX) Abstract:

Knowledge bases and the Web of Linked Data have become important assets for search, recommendation, and analytics. Natural-language questions are a user-friendly mode of tapping this wealth of knowledge and data. However, question answering technology does not work robustly in this setting as questions have to be translated into structured queries and users have to be careful in phrasing their questions. This paper advocates a new approach that allows questions to be partially translated into relaxed queries, covering the essential but not necessarily all aspects of the user's input. To compensate for the omissions, we exploit textual sources associated with entities and relational facts. Our system translates user questions into an extended form of structured SPARQL queries, with text predicates attached to triple patterns. Our solution is based on a novel optimization model, cast into an integer linear program, for joint decomposition and disambiguation of the user question. We demonstrate the quality of our methods through experiments with the QALD benchmark.



Download
Access Level:

Internal

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Databases and Information Systems Group

Audience:

experts only

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{Yahya2013,
AUTHOR = {Yahya, Mohamed and Berberich, Klaus and Elbassuoni, Shady and Weikum, Gerhard},
EDITOR = {He, Qi and Iyengar, Arun and Nejdl, Wolfgang and Pei, Jian and Rastogi, Rajeev},
TITLE = {Robust question answering over the web of linked data},
BOOKTITLE = {CIKM'13 : The Proceedings of the 22nd ACM International Conference on Information and Knowledge Management},
PUBLISHER = {ACM},
YEAR = {2013},
ORGANIZATION = {Association for Computing Machinery (ACM)},
PAGES = {1107--1116},
ADDRESS = {San Francisco, California, USA},
MONTH = {October},
ISBN = {978-1-4503-2263-8},
DOI = {10.1145/2505515.2505677},
}


Entry last modified by Mohamed Yahya, 01/30/2014
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Editor(s)
[Library]
Created
01/17/2014 08:31:44 PM
Revision
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Editor
Mohamed Yahya
Mohamed Yahya


Edit Date
01/18/2014 12:17:35 AM
01/17/2014 08:31:44 PM