ACM Home Page
Please provide us with feedback. Feedback
Table summarization with the help of domain lattices
Full text PdfPdf (176 KB)
Source
Conference on Information and Knowledge Management archive
Proceeding of the 17th ACM conference on Information and knowledge management table of contents
Napa Valley, California, USA
POSTER SESSION: Poster session 3: database table of contents
Pages 1473-1474  
Year of Publication: 2008
ISBN:978-1-59593-991-3
Authors
K. Selçuk Candan  Arizona State University, TEMPE, AZ, USA
Huiping Cao  Arizona State University, TEMPE, AZ, USA
Yan Qi  Arizona State University, TEMPE, AZ, USA
Maria Luisa Sapino  Univ. di Torino, Torino, Italy
Sponsors
ACM: Association for Computing Machinery
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 56,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1458082.1458340
What is a DOI?

ABSTRACT

Table summarization is necessary in various scenarios where it is hard to display a large table. It can benefit from knowledge about acceptable value clustering alternatives. In this paper, we formulate the problem of table summarization with the help of domain knowledge lattices. We provide the outline of a fuzzy mechanism to express alternative clustering strategies. We further sketch a novel ranked set cover based evaluation mechanism (RSC) to tackle with the inherent complexity.



Collaborative Colleagues:
K. Selçuk Candan: colleagues
Huiping Cao: colleagues
Yan Qi: colleagues
Maria Luisa Sapino: colleagues