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Authors: Katja Pfeifer and Eric Peukert

Affiliation: SAP AG, Germany

Keyword(s): Instance-based Matching, Text Mining, Taxonomy Alignment.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Soft Computing ; Symbolic Systems ; Web Mining

Abstract: Huge amounts of textual information relevant for market analysis, trending or product monitoring can be found on the Web. To make use of that information a number of text mining services were proposed that extract and categorize entities from given text. Such services have individual strengths and weaknesses so that merging results from multiple services can improve quality. To merge results, mappings between service taxonomies are needed since different taxonomies are used for categorizing extracted information. The mappings can potentially be computed by using ontology matching systems. However, the available meta data within most taxonomies is weak so that ontology matching systems currently return insufficient results. In this paper we propose a novel approach to enrich service taxonomies with instance information which is crucial for finding mappings. Based on the found instances we present a novel instance-based matching technique and metric that allows us to automatically iden tify equal, hierarchical and associative mappings. These mappings can be used for merging results of multiple extraction services. We broadly evaluate our matching approach on real world service taxonomies and compare to state-of-the-art approaches. (More)

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Paper citation in several formats:
Pfeifer, K. and Peukert, E. (2013). Mapping Text Mining Taxonomies. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR; ISBN 978-989-8565-75-4; ISSN 2184-3228, SciTePress, pages 5-16. DOI: 10.5220/0004500400050016

@conference{kdir13,
author={Katja Pfeifer. and Eric Peukert.},
title={Mapping Text Mining Taxonomies},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR},
year={2013},
pages={5-16},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004500400050016},
isbn={978-989-8565-75-4},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval and the International Conference on Knowledge Management and Information Sharing (IC3K 2013) - KDIR
TI - Mapping Text Mining Taxonomies
SN - 978-989-8565-75-4
IS - 2184-3228
AU - Pfeifer, K.
AU - Peukert, E.
PY - 2013
SP - 5
EP - 16
DO - 10.5220/0004500400050016
PB - SciTePress

- Science and Technology Publications, Lda.
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