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Authors: Alexander Sakharov 1 and Timothy Sakharov 2

Affiliations: 1 Verizon, United States ; 2 Northeastern University, United States

Keyword(s): Data Preprocessing, Unstructured Data, Data Languages, LL(1) Grammars, Predictive Parsing.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Text and Semi-Structured Data ; Pre-Processing and Post-Processing for Data Mining ; Symbolic Systems

Abstract: Parsing turns unstructured data into structured data suitable for knowledge discovery and querying. The complexity of grammar notations and the difficulty of grammar debugging limit the availability of data parsers. Tier grammars are defined by simply dividing terminals into predefined classes and then splitting elements of some classes into multiple layered sub-groups. The set of predefined terminal classes can be easily extended. Tier grammars and their extensions are LL(1) grammars. Tier grammars are a tool for big data preprocessing.

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Paper citation in several formats:
Sakharov, A. and Sakharov, T. (2015). Data Parsing using Tier Grammars. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 463-468. DOI: 10.5220/0005632804630468

@conference{kdir15,
author={Alexander Sakharov and Timothy Sakharov},
title={Data Parsing using Tier Grammars},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR},
year={2015},
pages={463-468},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005632804630468},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR
TI - Data Parsing using Tier Grammars
SN - 978-989-758-158-8
IS - 2184-3228
AU - Sakharov, A.
AU - Sakharov, T.
PY - 2015
SP - 463
EP - 468
DO - 10.5220/0005632804630468
PB - SciTePress

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