R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
Abstract
We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.
%0 Conference Paper
%1 jaeschke2013attribute
%A Jäschke, Robert
%A Rudolph, Sebastian
%B Contributions to the 11th International Conference on Formal Concept Analysis
%D 2013
%E Cellier, Peggy
%E Distel, Felix
%E Ganter, Bernhard
%K 2013 acquisition analysis attribute computing concept crowdsourcing data exploration fca formal human information ir knowledge linked lod myown open retrieval search sparql web
%P 19--34
%T Attribute Exploration on the Web
%U http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133
%X We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.
@inproceedings{jaeschke2013attribute,
abstract = {We propose an approach for supporting attribute exploration by web information retrieval, in particular by posing appropriate queries to search engines, crowd sourcing systems, and the linked open data cloud. We discuss underlying general assumptions for this to work and the degree to which these can be taken for granted.},
added-at = {2015-10-16T11:17:21.000+0200},
author = {Jäschke, Robert and Rudolph, Sebastian},
biburl = {https://www.bibsonomy.org/bibtex/245e900e280661d775d8da949baee3747/kde-alumni},
booktitle = {Contributions to the 11th International Conference on Formal Concept Analysis},
editor = {Cellier, Peggy and Distel, Felix and Ganter, Bernhard},
interhash = {000ab7b0ae3ecd1d7d6ceb39de5c11d4},
intrahash = {45e900e280661d775d8da949baee3747},
keywords = {2013 acquisition analysis attribute computing concept crowdsourcing data exploration fca formal human information ir knowledge linked lod myown open retrieval search sparql web},
month = may,
organization = {Technische Universität Dresden},
pages = {19--34},
timestamp = {2016-11-29T17:44:14.000+0100},
title = {Attribute Exploration on the Web},
url = {http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133},
urn = {urn:nbn:de:bsz:14-qucosa-113133},
year = 2013
}