J. Belizki, S. Costache, and W. Nejdl. ACM Workshop on Contextualized Attention Metadata held at the 15th Intl. CIKM Conference on Information and Knowledge Management, Arlington, VA, USA, 05-11.11.06, (2006)
Abstract
To efficiently support personal ways of desktop usage, we have to unleash the power of implicit metadata thus giving local data a well defined meaning. To achieve this, contextual information across heterogeneous media types, file formats, and applications should be annotated and linked. In this paper we present a light weight system which monitors the file structure and automatically generates semantic metadata based on the user activities. We underpin the utility of extracted metadata by showing how it can be leveraged to enhance conventional full-text desktop search.
ACM Workshop on Contextualized Attention Metadata held at the 15th Intl. CIKM Conference on Information and Knowledge Management, Arlington, VA, USA, 05-11.11.06
%0 Conference Paper
%1 BelizkiCostache+:CAM06
%A Belizki, Jürgen
%A Costache, Stefania
%A Nejdl, Wolfgang
%B ACM Workshop on Contextualized Attention Metadata held at the 15th Intl. CIKM Conference on Information and Knowledge Management, Arlington, VA, USA, 05-11.11.06
%D 2006
%K 2006 from:markusjunker l3s lang:en nepomuk wp2
%T Application Independent Metadata Generation
%U http://l3s.de/~ghita/publications/cama07-belizki.pdf
%X To efficiently support personal ways of desktop usage, we have to unleash the power of implicit metadata thus giving local data a well defined meaning. To achieve this, contextual information across heterogeneous media types, file formats, and applications should be annotated and linked. In this paper we present a light weight system which monitors the file structure and automatically generates semantic metadata based on the user activities. We underpin the utility of extracted metadata by showing how it can be leveraged to enhance conventional full-text desktop search.
@inproceedings{BelizkiCostache+:CAM06,
abstract = {To efficiently support personal ways of desktop usage, we have to unleash the power of implicit metadata thus giving local data a well defined meaning. To achieve this, contextual information across heterogeneous media types, file formats, and applications should be annotated and linked. In this paper we present a light weight system which monitors the file structure and automatically generates semantic metadata based on the user activities. We underpin the utility of extracted metadata by showing how it can be leveraged to enhance conventional full-text desktop search.
},
added-at = {2007-03-22T15:36:24.000+0100},
author = {Belizki, Jürgen and Costache, Stefania and Nejdl, Wolfgang},
biburl = {https://www.bibsonomy.org/bibtex/2eadcb95579ecc1c110750d134dc46565/pchirita},
booktitle = {ACM Workshop on Contextualized Attention Metadata held at the 15th Intl. CIKM Conference on Information and Knowledge Management, Arlington, VA, USA, 05-11.11.06},
interhash = {6e62d26635462a283f1120e68ddd0d21},
intrahash = {eadcb95579ecc1c110750d134dc46565},
keywords = {2006 from:markusjunker l3s lang:en nepomuk wp2},
timestamp = {2007-03-22T15:36:24.000+0100},
title = {Application Independent Metadata Generation},
url = {http://l3s.de/~ghita/publications/cama07-belizki.pdf },
year = 2006
}