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Author: Christoph Schommer

Affiliation: University Luxembourg, Luxembourg

Keyword(s): Bio-inspired modeling, Graph mining, Bibliographic communities.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Business Intelligence Applications ; Data Analytics ; Data Engineering ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems

Abstract: This paper introduces in extracts a bio-inspired model that understands graphs as artificial chemical constructs. The main objective is to identify this model as an autonomous and adaptive system that performs internal tasks, for example a communication with its environment. The model itself focus on artificial atomicity of nodes, artificial molecular connections in between, and functional proteins, which are self-concentrated constructs. The model implicates a solid fundament, but fosters an artificial vitality through catalysts: these merge attacked atomic nodes – in case of common “interests” (inside the molecular model) – to functional proteins and therefore consequently contribute to a vivid shape of communities. As an application example, the theoretical model is clarified with bibliographic entries to form bibliographic communities dynamically while having a bibliographic stream entries as input.

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Paper citation in several formats:
Schommer, C. (2009). AN ARTIFICIAL MOLECULAR MODEL TO FOSTER COMMUNITIES. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR; ISBN 978-989-674-011-5; ISSN 2184-3228, SciTePress, pages 219-222. DOI: 10.5220/0002326902190222

@conference{kdir09,
author={Christoph Schommer.},
title={AN ARTIFICIAL MOLECULAR MODEL TO FOSTER COMMUNITIES},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR},
year={2009},
pages={219-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002326902190222},
isbn={978-989-674-011-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR
TI - AN ARTIFICIAL MOLECULAR MODEL TO FOSTER COMMUNITIES
SN - 978-989-674-011-5
IS - 2184-3228
AU - Schommer, C.
PY - 2009
SP - 219
EP - 222
DO - 10.5220/0002326902190222
PB - SciTePress