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Authors: Marios Meimaris 1 ; George Alexiou 2 ; Katerina Gkirtzou 3 ; George Papastefanatos 3 and Theodore Dalamagas 3

Affiliations: 1 Reseach Center ATHENA and University of Thessaly, Greece ; 2 Reseach Center ATHENA and National Technical University of Athens, Greece ; 3 Reseach Center ATHENA, Greece

ISBN: 978-989-758-103-8

Keyword(s): Linked Data, RDF, Collaboration, Graph Search.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Engineering ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Information Integration ; Information Retrieval ; Information Systems Analysis and Specification ; Integration/Interoperability ; Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge Management ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Pattern Recognition ; Sensor Networks ; Simulation and Modeling ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Software and Architectures ; Software Engineering ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: The Linked Data paradigm is the most common practice for publishing, sharing and managing information in the Data Web. Linkzoo is an IT infrastructure for collaborative publishing, annotating and sharing of Data Web resources, and their publication as Linked Data. In this paper, we overview LinkZoo and its main components, and we focus on the search facilities provided to retrieve and explore RDF resources. Two search services are presented: (1) an interactive, two-step keyword search service, where live natural language query suggestions are given to the user based on the input keywords and the resource types they match within LinkZoo, and (2) a keyword search service for exploring remote SPARQL endpoints that automatically generates a set of candidate SPARQL queries, i.e., SPARQL queries that try to capture user’s information needs as expressed by the keywords used. Finally, we demonstrate the search functionalities through a use case drawn from the life sciences domain.

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Paper citation in several formats:
Meimaris, M.; Alexiou, G.; Gkirtzou, K.; Papastefanatos, G. and Dalamagas, T. (2015). RDF Resource Search and Exploration with LinkZoo.In Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-103-8, pages 232-239. DOI: 10.5220/0005499602320239

@conference{data15,
author={Marios Meimaris. and George Alexiou. and Katerina Gkirtzou. and George Papastefanatos. and Theodore Dalamagas.},
title={RDF Resource Search and Exploration with LinkZoo},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2015},
pages={232-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005499602320239},
isbn={978-989-758-103-8},
}

TY - CONF

JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - RDF Resource Search and Exploration with LinkZoo
SN - 978-989-758-103-8
AU - Meimaris, M.
AU - Alexiou, G.
AU - Gkirtzou, K.
AU - Papastefanatos, G.
AU - Dalamagas, T.
PY - 2015
SP - 232
EP - 239
DO - 10.5220/0005499602320239

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