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Authors: Sven Hartrumpf 1 ; Hermann Helbig 2 and Ingo Phoenix 1

Affiliations: 1 SEMPRIA GmbH, Germany ; 2 University at Hagen, Germany

ISBN: 978-989-758-015-4

Keyword(s): Semantic Analysis, Knowledge Bases, Text Understanding, Natural Language Processing, Reference Resolution.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge Representation and Reasoning ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems

Abstract: Large-scale knowledge acquisition from texts is one of the challenges of the information society that can only be mastered by technical means. While the syntactic analysis of isolated sentences is relatively well understood, the problem of automatically parsing on all linguistic levels, starting from the morphological level through to the semantic level, i.e. real understanding of texts, is far from being solved. This paper explains the approach taken in this direction by the MultiNet technology in bridging the gap between the syntactic semantic analysis of single sentences and the creation of knowledge bases representing the content of whole texts. In particular, it is shown how linguistic text phenomena like inclusion or bridging references can be dealt with by logical means using the axiomatic apparatus of the MultiNet formalism. The NLP techniques described are practically applied in transforming large textual corpora like Wikipedia into a knowledge base and using the lat ter in meaning-oriented search engines. (More)

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Paper citation in several formats:
Hartrumpf, S.; Helbig, H. and Phoenix, I. (2014). Automatic Generation of Large Knowledge Bases using Deep Semantic and Linguistically Founded Methods.In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 297-304. DOI: 10.5220/0004756202970304

@conference{icaart14,
author={Sven Hartrumpf. and Hermann Helbig. and Ingo Phoenix.},
title={Automatic Generation of Large Knowledge Bases using Deep Semantic and Linguistically Founded Methods},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={297-304},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004756202970304},
isbn={978-989-758-015-4},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Automatic Generation of Large Knowledge Bases using Deep Semantic and Linguistically Founded Methods
SN - 978-989-758-015-4
AU - Hartrumpf, S.
AU - Helbig, H.
AU - Phoenix, I.
PY - 2014
SP - 297
EP - 304
DO - 10.5220/0004756202970304

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