Semantic Search in Heterogeneous Digital Repositories: Case Studies

Authors

  • Maria M. Nisheva Faculty of Mathematics and Informatics, Sofia University, Bulgaria; Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria
  • Pavel I. Pavlov Faculty of Mathematics and Informatics, Sofia University, Bulgaria
  • Peter L. Stanchev Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria; Kettering University, Flint, USA

DOI:

https://doi.org/10.55630/dipp.2016.6.6

Keywords:

digital repository, metadata, ontology, semantic annotation, semantic search, semantic interoperability

Abstract

Semantic search augments the goals and scope of traditional search and information retrieval tasks. The paper analyzes the main aspects of semantic search and the corresponding features of some popular semantic search systems. The presentation is focused on a discussion of the implementation of a successful project in building modern semantic search engine. A brief analysis of the gained experience in some experiments with free software tools for advanced semantic technologies accomplished within the Master’s degree course in Semantic Technologies at the Faculty of Mathematics and Informatics, Sofia University, is presented and the main techniques used for image and video semantic extraction are discussed in addition.

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Published

2016-09-30

How to Cite

M. Nisheva, M., I. Pavlov, P., & L. Stanchev, P. (2016). Semantic Search in Heterogeneous Digital Repositories: Case Studies. Digital Presentation and Preservation of Cultural and Scientific Heritage, 6, 65–72. https://doi.org/10.55630/dipp.2016.6.6

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