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Authors: Rodrigo Carvalho ; Sam Chapman and Fabio Ciravegna

Affiliation: The University of Sheffield, United Kingdom

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: This paper evaluates singular then hybrid methodologies for extracting semantics relevant to users in cataloguing and searching of personal photographs. It concentrates upon extraction of meaningful concepts within textual annotations focusing around geographical identification, together with references to people and objects concerning each image. A number of approaches are considered; machine learning, rule based and a novel hybrid approach encompassing previous techniques. This evaluation identifies the strengths of the singular approaches and defines rules best suited to differing extractions providing a higher performing hybrid method.

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Paper citation in several formats:
Carvalho, R.; Chapman, S. and Ciravegna, F. (2008). Extracting Semantic Meaning from Photographic Annotations using a Hybrid Approach. In Metadata Mining for Image Understanding (VISIGRAPP 2008) - MMIU; ISBN 978-989-8111-24-1, SciTePress, pages 48-57. DOI: 10.5220/0002339700480057

@conference{mmiu08,
author={Rodrigo Carvalho. and Sam Chapman. and Fabio Ciravegna.},
title={Extracting Semantic Meaning from Photographic Annotations using a Hybrid Approach},
booktitle={Metadata Mining for Image Understanding (VISIGRAPP 2008) - MMIU},
year={2008},
pages={48-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002339700480057},
isbn={978-989-8111-24-1},
}

TY - CONF

JO - Metadata Mining for Image Understanding (VISIGRAPP 2008) - MMIU
TI - Extracting Semantic Meaning from Photographic Annotations using a Hybrid Approach
SN - 978-989-8111-24-1
AU - Carvalho, R.
AU - Chapman, S.
AU - Ciravegna, F.
PY - 2008
SP - 48
EP - 57
DO - 10.5220/0002339700480057
PB - SciTePress