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 Claudia Marinica

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Average citations per article4.80
Citation Count24
Publication count5
Publication years2008-2017
Available for download3
Average downloads per article63.00
Downloads (cumulative)189
Downloads (12 Months)84
Downloads (6 Weeks)11
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1 published by ACM
July 2017 Journal on Computing and Cultural Heritage (JOCCH) - Special Issue on Digital Infrastructure for Cultural Heritage, Part 2: Volume 10 Issue 3, August 2017
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 10,   Downloads (12 Months): 56,   Downloads (Overall): 56

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In this article, we present a semantic-based approach for dealing with the interoperability issue in the conservation-restoration domain. We first evaluate the context and our observations confirm the critical need for a data integration system taking advantage of data semantics. Our solution consists in: (1) building a domain-specific ontology, to ...
Keywords: Cultural heritage, ontology-based data integration system, mediation system, conservation-restoration, cultural objects, data integration, semantic interoperability

2 published by ACM
July 2016 IDEAS '16: Proceedings of the 20th International Database Engineering & Applications Symposium
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 15,   Downloads (Overall): 34

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In this paper, we present a semantic based approach for integrating heterogeneous data sources, and we implement our approach on the scientific domain of Cultural Heritage Conservation-Restoration. First, we evaluate the context and the current needs; the observations confirmed the critical need of a data integration system taking advantage of ...
Keywords: Conservation-restoration, Cultural Heritage, Data integration, Ontology-based data integration system

3 published by ACM
December 2013 SoICT '13: Proceedings of the Fourth Symposium on Information and Communication Technology
Publisher: ACM
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 12,   Downloads (Overall): 90

Full text available: PDFPDF
Cloud computing provides access to "infinite" storage and computing resources, offering promising perspectives for many applications, particularly e-learning. However, this new paradigm requires rethinking of database management principles in order to allow deployment on scalable, easy to access infrastructures, applying a pay-as-you-go model in which failures are not exceptions but ...
Keywords: cloud computing, optimization, big data, data management, e-learning

June 2010 IEEE Transactions on Knowledge and Data Engineering: Volume 22 Issue 6, June 2010
Publisher: IEEE Educational Activities Department
Citation Count: 20

In Data Mining, the usefulness of association rules is strongly limited by the huge amount of delivered rules. To overcome this drawback, several methods were proposed in the literature such as itemset concise representations, redundancy reduction, and postprocessing. However, being generally based on statistical information, most of these methods do ...
Keywords: interactive data exploration and discovery, classification, Clustering, classification, and association rules, interactive data exploration and discovery, knowledge management applications., Clustering, and association rules, knowledge management applications.

December 2008 ICDMW '08: Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Citation Count: 4

In Data Mining, the usefulness of association rules is strongly limited by the huge amount of delivered rules. In this paper we propose a new approach to prune and filter discovered rules. Using Domain Ontologies, we strengthen the integration of user knowledge in the post-processing task. Furthermore, an interactive and ...
Keywords: data mining, association rules, ontologies, knowledge management

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