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Authors: Tomas Vileiniškis ; Algirdas Šukys and Rita Butkienė

Affiliation: Kaunas University of Technology, Lithuania

ISBN: 978-989-758-158-8

Keyword(s): Semantic Search, SBVR, SPARQL, Information Retrieval, Ontology, Semantic Annotation, Lithuanian Language.

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

Abstract: The continuous growth of unstructured textual information on the web implies the need for novel, semantically aware content processing and information retrieval (IR) methods. Following the evolution and wide adoption of Semantic Web technology, a number of approaches to overcome the limitations of traditional keyword-based search techniques have been proposed. However, most of the research concentrates on English and other well-known, linguistic resource-rich languages. Hence, this paper presents an attempt to semantic search over domain-specific Lithuanian web documents. We introduce an ontology-based semantic search framework capable of answering structured natural Lithuanian language questions and discuss its language-dependent design decisions. The findings from a recent case study showed that our proposed framework can be applied to approach meaning-based IR with significant results, even when the underlying language is morphologically rich and has limited linguistic resources.

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Paper citation in several formats:
Vileiniškis T., Šukys A. and Butkienė R. (2015). An Approach for Semantic Search over Lithuanian News Website Corpus.In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 57-66. DOI: 10.5220/0005596800570066

@conference{kdir15,
author={Tomas Vileiniškis and Algirdas Šukys and Rita Butkienė},
title={An Approach for Semantic Search over Lithuanian News Website Corpus},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},
year={2015},
pages={57-66},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005596800570066},
isbn={978-989-758-158-8},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - An Approach for Semantic Search over Lithuanian News Website Corpus
SN - 978-989-758-158-8
AU - Vileiniškis T.
AU - Šukys A.
AU - Butkienė R.
PY - 2015
SP - 57
EP - 66
DO - 10.5220/0005596800570066

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