Cultural Heritage Information Retrieval: Data Modelling and Applications

Tracking #: 2839-4053

This paper is currently under review
Babak Ranjgar
Abolghasem Sadeghi-Niaraki
Maryam Shakeri1
Soo-Mi Choi

Responsible editor: 
Mehwish Alam

Submission type: 
Survey Article
Abstract. The Cultural Heritage (CH) community is one of the domains to adopt Semantic Web recommendations and technolo-gies, which can provide interoperability between various organizations by creating a shared understanding in the community. The CH employed Semantic Web technologies step by step along its evolution process for better knowledge management and a uni-form understanding among the community. To identify this evolution process, there is a need to review CH knowledge engineer-ing and the process to improve information retrieval, which new researchers could follow the newest developments in the area. This paper presents this process from its initial steps and the various challenges faced to the latest developments in the CH infor-mation retrieval. CH has the goal of preserving and dissemination of the historical information to people and society. Therefore, by making data machine-readable and achieving data interoperability thus a better information retrieval, there is a wide set of op-portunities to develop smart applications based on rich CH information as a form of interactive, user-friendly, and context-aware dissemination of information to users. We also reviewed intelligent applications and services developed in the CH domain after establishing semantic data models and Knowledge Organization Systems. Finally, challenges and possible future research direc-tions are discussed.
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