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Author, Editor(s)

Author(s):

Sydow, Marcin
Pikuła, Mariusz
Schenkel, Ralf

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Not MPG Author(s):

Sydow, Marcin
Pikuła, Mariusz

BibTeX cite key*:

SydowPS_IIS2013

Title

Title*:

The notion of diversity in graphical entity summarisation on semantic knowledge graphs

Journal

Journal Title*:

Intelligent Information Systems

Journal's URL:


Download URL
for the article:

http://link.springer.com/article/10.1007/s10844-013-0239-6

Language:

English

Publisher

Publisher's
Name:

Springer

Publisher's URL:


Publisher's
Address:


ISSN:

0925-9902

Vol, No, pp, Date

Volume*:

41

Number:

2

Publishing Date:

2013

Pages*:

109-149

Number of
VG Pages:


Page Start:


Page End:


Sequence Number:


DOI:

10.1007/s10844-013-0239-6

Note, Abstract, ©

Note:


(LaTeX) Abstract:

Given an entity represented by a single node q in semantic knowledge graph D, the Graphical Entity Summarisation problem (GES) consists in selecting out of D a very small surrounding graph S that constitutes a generic summary of the information concerning the entity q with given limit on size of S. This article concerns the role of diversity in this quite novel problem. It gives an overview of the diversity concept in information retrieval, and proposes how to adapt it to GES. A measure of diversity for GES, called ALC, is defined and two algorithms presented, baseline, diversity-oblivious PRECIS and diversity-aware DIVERSUM. A reported experiment shows that DIVERSUM actually achieves higher values of the ALC diversity measure than PRECIS. Next, an objective evaluation experiment demonstrates that diversity-aware algorithm is superior to the diversity-oblivious one in terms of fact selection. More precisely, DIVERSUM clearly achieves higher recall than PRECIS on ground truth reference entity summaries extracted from Wikipedia. We also report another intrinsic experiment, in which the output of diversity-aware algorithm is significantly preferred by human expert evaluators. Importantly, the user feedback clearly indicates that the notion of diversity is the key reason for the preference. In addition, the experiment is repeated twice on an anonymous sample of broad population of Internet users by means of a crowd-sourcing platform, that further confirms the results mentioned above.

URL for the Abstract:


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Keywords:


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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:

@ARTICLE{SydowPS_IIS2013,
AUTHOR = {Sydow, Marcin and Pikuła, Mariusz and Schenkel, Ralf},
TITLE = {The notion of diversity in graphical entity summarisation on semantic knowledge graphs},
JOURNAL = {Intelligent Information Systems},
PUBLISHER = {Springer},
YEAR = {2013},
NUMBER = {2},
VOLUME = {41},
PAGES = {109--149},
ISBN = {0925-9902},
DOI = {10.1007/s10844-013-0239-6},
}


Entry last modified by Ralf Schenkel, 01/30/2014
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Editor(s)
[Library]
Created
03/25/2013 10:12:58 AM
Revision
1.
0.


Editor
Ralf Schenkel
Ralf Schenkel


Edit Date
12.09.2013 19:20:36
25/03/2013 10:12:58