The research project THESEUS MEDICO aims at developing an intelligent, robust and scalable semantic search engine for medical images and is designated for different kinds of users such as medical doctors, medical IT professionals or patients. Since semantic search results are not always self-explanatory various kinds of explanation are necessary to satisfy different user goals. Our prime concern is to give understandable justications for inexperienced users in the medical domain using semantic networks as form of depiction. In addition, we provide several interaction styles enabling a deeper insight into the medical knowledge.
%0 Conference Paper
%1 ForcherMoellerEtAl09EXACT
%A Forcher, Björn
%A Möller, Manuel
%A Sintek, Michael
%A Roth-Berghofer, Thomas
%B Proceedings of IJCAI Workshop on Explanation-Aware Computing (EXACT 2009), Pasadena, CA, July 11--13, 2009
%D 2009
%K v1205 paper ai semantic web knowledge processing image information retrieval search health user interaction zzz.th
%T Explanation of Semantic Search Results of Medical Images in THESEUS MEDICO
%X The research project THESEUS MEDICO aims at developing an intelligent, robust and scalable semantic search engine for medical images and is designated for different kinds of users such as medical doctors, medical IT professionals or patients. Since semantic search results are not always self-explanatory various kinds of explanation are necessary to satisfy different user goals. Our prime concern is to give understandable justications for inexperienced users in the medical domain using semantic networks as form of depiction. In addition, we provide several interaction styles enabling a deeper insight into the medical knowledge.
@inproceedings{ForcherMoellerEtAl09EXACT,
abstract = {The research project THESEUS MEDICO aims at developing an intelligent, robust and scalable semantic search engine for medical images and is designated for different kinds of users such as medical doctors, medical IT professionals or patients. Since semantic search results are not always self-explanatory various kinds of explanation are necessary to satisfy different user goals. Our prime concern is to give understandable justications for inexperienced users in the medical domain using semantic networks as form of depiction. In addition, we provide several interaction styles enabling a deeper insight into the medical knowledge.},
added-at = {2012-05-30T10:46:03.000+0200},
author = {Forcher, Bj\"{o}rn and M\"{o}ller, Manuel and Sintek, Michael and Roth-Berghofer, Thomas},
biburl = {https://www.bibsonomy.org/bibtex/22bf6a587c3b691cf4f78abd44169f21b/flint63},
booktitle = {Proceedings of IJCAI Workshop on Explanation-Aware Computing (EXACT 2009), Pasadena, CA, July 11--13, 2009},
file = {Preprint:2009/ForcherMoellerEtAl09EXACT.pdf:PDF;Slides:http\://exact2009.workshop.hm/images/stories/presentations/exact2009_presentation_roth-berghofer.pdf:URL},
groups = {public},
interhash = {8a4581a1b9ad9abc7014ada63bd8e2f8},
intrahash = {2bf6a587c3b691cf4f78abd44169f21b},
keywords = {v1205 paper ai semantic web knowledge processing image information retrieval search health user interaction zzz.th},
timestamp = {2018-04-16T12:31:28.000+0200},
title = {Explanation of Semantic Search Results of Medical Images in {THESEUS MEDICO}},
username = {flint63},
year = 2009
}