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{jaschke2013attribute, author = {Jäschke, Robert and Rudolph, Sebastian}, title = {Attribute Exploration on the Web}, editor = {Cellier, Peggy and Distel, Felix and Ganter, Bernhard}, booktitle = {Contributions to the 11th International Conference on Formal Concept Analysis}, year = {2013}, pages = {19--34}, url = {http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133}, keywords = {2013, acquisition, analysis, attribute, computing, concept, crowdsourcing, data, exploration, fca, formal, human, information, ir, iteg, knowledge, l3s, linked, lod, open, retrieval, search, sparql, web}, 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 = inproceedings %A = Jäschke, Robert and Rudolph, Sebastian %B = Contributions to the 11th International Conference on Formal Concept Analysis %D = 2013 %T = Attribute Exploration on the Web %U = http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-113133

In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the field of Conceptual Knowledge
rocessing. Conceptual Knowledge
rocessing is based on the mathematical theory of Formal Concept
nalysis which has become a successful theory for data analysis during
he last two decades. CKDD aims to support a human-centered process
discovering knowledge from data by visualizing and analyzing
e conceptual structure of the data. We dicuss how the
nagement system TOSCANA for conceptual information systems
pports CKDD, and illustrate it by two applications in database
rketing and flight movement analysis. Finally, we present a
w tool for conceptual deviation discovery, Chianti.

@article{hereth03conceptual, author = {Hereth, Joachim and Stumme, Gerd and Wille, Rudolf and Wille, Uta}, title = {Conceptual Knowledge Discovery - a Human-Centered Approach}, journal = {Journal of Applied Artificial Intelligence (AAI)}, year = {2003}, volume = {17}, number = {3}, pages = {281-301}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hereth2003conceptual.pdf}, keywords = {2003, analysis, concept, conceptual, discovery, fca, formal, human, kdd, knowledge, myown}, abstract = {In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the field of Conceptual Knowledge Processing. Conceptual Knowledge Processing is based on the mathematical theory of Formal Concept Analysis which has become a successful theory for data analysis during the last two decades. CKDD aims to support a human-centered process of discovering knowledge from data by visualizing and analyzing the conceptual structure of the data. We dicuss how the management system TOSCANA for conceptual information systems supports CKDD, and illustrate it by two applications in database marketing and flight movement analysis. Finally, we present a new tool for conceptual deviation discovery, Chianti.} }

%0 = article %A = Hereth, Joachim and Stumme, Gerd and Wille, Rudolf and Wille, Uta %D = 2003 %T = Conceptual Knowledge Discovery - a Human-Centered Approach %U = http://www.kde.cs.uni-kassel.de/stumme/papers/2003/hereth2003conceptual.pdf