Improving Knowledge Retrieval in Digital Libraries Applying Intelligent Techniques

Antonio Martín, Carlos León

Abstract

Nowadays an enormous quantity of heterogeneous and distributed information is stored in the digital University. Exploring online collections to find knowledge relevant to a user’s interests is a challenging work. The artificial intelligence and Semantic Web provide a common framework that allows knowledge to be shared and reused in an efficient way. In this work we propose a comprehensive approach for discovering E-learning objects in large digital collections based on analysis of recorded semantic metadata in those objects and the application of expert system technologies. We have used Case Based-Reasoning methodology to develop a prototype for supporting efficient retrieval knowledge from online repositories. We suggest a conceptual architecture for a semantic search engine. OntoUS is a collaborative effort that proposes a new form of interaction between users and digital libraries, where the latter are adapted to users and their surroundings.

References

  1. Chen, L., (2008). Design and implementation of intelligent library system. Library Collections, Acquisitions, and Technical Services, Vol. 32, Issues 3-4, 2008, 127- 141.
  2. Diaz-Galiano, M. C., Martin-Valdivia, M. T. & Urena, L.A. (2009), Query expansion with a medical ontology to improve a multimodal information retrieval system. Computers in Biology and Medicine, Vol. 39, Issue 4.
  3. European Interoperability Framework (EIF) Version 2. (2004) [cited 21-01-2014]; Available from: ec.europa.eu/isa/strategy/doc/annex_ii_eif_en.pdf.
  4. Finnie G and Sun, Z. (2002). Similarity and metrics in case-based reasoning. Int J Intelligent Systems 17 (3), 273-287.
  5. GAIA - Group for Artificial Intelligence Applications, (2014). jCOLIBRI project, http://gaia.fdi.ucm.es/ grupo/projects/. Complutense University of Madrid.
  6. Jimeno-Yepes, A., Berlanga-Llavori, R. & RebholzSchuhmann, D. (2010). Ontology refinement for improved information retrieval, Information Processing & Managemen. Volume 46, Issue 4, Semantic Annotations in Information Retrieval.
  7. Ministerio de Administraciones Públicas (2014). Aplicaciones utilizadas para el ejercicio de potestades. Criterios de Seguridad, Normalización y Conservación: 22/01/2014 Version. <http:// www.csi.map.es/csi/criterios/index.html>.
  8. PROTÉGÉ, (2013). The Protégé Ontology Editor and Knowledge Acquisition System. <http:// protege.stanford.edu/>.
  9. Sasaki, H., & Kiyoki, Y. (2005). A formulation for patenting content-based retrieval processes in digital libraries, Information Processing &amp; Management, Volume 41, Issue 1, Pages 57-74.
  10. SEC (2003) 801. Commission Staff Workking Paper: linking up Europe, the importance of interoperability for egovernment services europa.eu.int/ISPO/ida/ export/files/en/1523.pdf.
  11. Sun, Z. and Finnie G. (2004): Intelligent Techniques in ECommerce: A Case-based Reasoning Perspective. Heidelberg: Springer-Verlag.
  12. Sure, Y., and Studer, R., (2005). Semantic Web technologies for digital libraries. Library Management Journal, Emerald, vol. 26.
  13. Taniar, D., Wenny Rahayu, J. (2006). Web semantics and ontology. Hershey, PA: Idea Group Pub, 2006.
  14. Toledo, C. M. & Ale M. A. (2011). An Ontology-driven Document Retrieval Strategy for Organizational Knowledge Management Systems, Electronic Notes in Theoretical Computer Science, Vol. 281, 21-34.
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Paper Citation


in Harvard Style

Martín A. and León C. (2014). Improving Knowledge Retrieval in Digital Libraries Applying Intelligent Techniques . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014) ISBN 978-989-758-049-9, pages 445-453. DOI: 10.5220/0005159604450453


in Bibtex Style

@conference{keod14,
author={Antonio Martín and Carlos León},
title={Improving Knowledge Retrieval in Digital Libraries Applying Intelligent Techniques},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)},
year={2014},
pages={445-453},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005159604450453},
isbn={978-989-758-049-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)
TI - Improving Knowledge Retrieval in Digital Libraries Applying Intelligent Techniques
SN - 978-989-758-049-9
AU - Martín A.
AU - León C.
PY - 2014
SP - 445
EP - 453
DO - 10.5220/0005159604450453