An ontological data model for points of interest (POI) in a cultural heritage site

Ranjgar, Babak; Sadeghi‐Niaraki, Abolghasem; Shakeri, Maryam; Choi, Soo-Mi

doi:10.1186/s40494-021-00635-9

Cited by 18 publications

(10 citation statements)

References 38 publications

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“…Dedicated formal ontologies have been elaborated to address data heterogeneity issues and to support semantic interoperability in data exchange among organizations (Lodi et al, 2017). The conceptual reference model (CRM) of the international committee for documentation (CIDOC) is the most widespread formalism for heritage information among others like the European data model (EDM) (Ranjgar et al, 2019). Besides the core model, several extensions extend the scope of the ontology to specific domains.…”

Section: Methodsmentioning

confidence: 99%

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Toward cultural significance awareness in HIS: a data model approach

Jouan

Hallot

2022

JCHMSD

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PurposeThe purpose of this paper is to address the challenging issue of developing a quantitative approach for the representation of cultural significance data in heritage information systems (HIS). The authors propose to provide experts in the field with a dedicated framework to structure and integrate targeted data about historical objects' significance in such environments.Design/methodology/approachThis research seeks the identification of key indicators which allow to better inform decision-makers about cultural significance. Identified concepts are formalized in a data structure through conceptual data modeling, taking advantage on unified modeling language (HIS). The design science research (DSR) method is implemented to facilitate the development of the data model.FindingsThis paper proposes a practical solution for the formalization of data related to the significance of objects in HIS. The authors end up with a data model which enables multiple knowledge representations through data analysis and information retrieval.Originality/valueThe framework proposed in this article supports a more sustainable vision of heritage preservation as the framework enhances the involvement of all stakeholders in the conservation and management of historical sites. The data model supports explicit communications of the significance of historical objects and strengthens the synergy between the stakeholders involved in different phases of the conservation process.

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Section: Methodsmentioning

confidence: 99%

“…, 2017). The conceptual reference model (CRM) of the international committee for documentation (CIDOC) is the most widespread formalism for heritage information among others like the European data model (EDM) (Ranjgar et al. , 2019).…”

Section: Methodsmentioning

confidence: 99%

Toward cultural significance awareness in HIS: a data model approach

Jouan

Hallot

2022

JCHMSD

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“…Authors reflect that ontology-based data structuring is effective in better matching user context and retrieved information thus increasing recommendation accuracy. [169] suggested a data model that combines CH information with location semantics to allow an intelligent location-based user manual for tourists visiting a historical site. Users can use this to discover places they're keen on using spatial semantics.…”

Section: ) Context-aware Applicationsmentioning

confidence: 99%

Cultural Heritage Information Retrieval: Past, Present, and Future Trends

Ranjgar,

Sadeghi-Niaraki,

Shakeri

et al. 2024

IEEE Access

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Knowledge organization and development of better information retrieval techniques were of great importance from a very early time period in human history. The need has grown high for such systems with the advent of digitization and the web era. Computer systems and web have offered easier retrieval of information in almost no time. However, as the amount of data increased, these systems were not able to work well in terms of accuracy and precision of retrieval. Semantic Web concept was introduced to overcome the issue by converting the web of documents to a web of data. Semantic Web technologies makes data machine-understandable so that information retrieval can be more precise and accurate. The Cultural Heritage (CH) community, with the goal of preserving and dissemination of the historical information to people and society, is one of the first domains to adopt Semantic Web recommendations and technologies, which can provide interoperability between various organizations by creating a shared understanding in the community. The data in the CH domain differs widely with types and formats. Also, a lot of organizations and experts from various fields interact through different processes within this community. Due to the mentioned needs, the CH community employed Semantic Web technologies step by step along its evolution process for better knowledge management and a uniform understanding among the community. In this study, we present a comprehensive conceptual framework that spans cultural heritage, information modeling, and information retrieval. Our model addresses early solutions in knowledge organization systems, highlighting the evolution from classification systems and controlled vocabularies to the significance of metadata schemas. We delve into the limitations of traditional knowledge organization systems and the necessity of formal ontologies, particularly in the cultural heritage domain. The comparative analysis of CRM vs. EDM, ontology-based metadata interoperability, and ontology technologies elucidate our contributions to the field. This paper outlines the process from the initial steps of adopting Semantic Web technologies in the CH domain to the latest developments in CH information retrieval. In this paper, 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 directions are discussed. The findings revealed that GLAMs (Galleries, Libraries, Archives, and Museums) are excellent and comprehensive sources of CH information. The CH community has put in a lot of time and effort to develop data models and knowledge organization tools; now it's time to use this valuable resource to construct smart applications that are still in their early phases. This could benefit the CH industry even more.

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“…For example, a river is a feature and hence can be linked to a point object (subclass geometry) which can represent a geocoordinate [7]. An important design feature of the GeoSPARQL and almost all the other related ontologies [7,28,31,42] describing geographical aspects is that they define qualitative spatial relations as object properties e.g. {Entity: Place1, ObjectProperty: west, Entity: Place2}.…”

Section: Ontology Design and Developmentmentioning

confidence: 99%

Towards an Extensible Framework for Understanding Spatial Narratives

Ezeani,

Rayson,

Gregory

et al. 2023

Proceedings of the 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities

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Spatial narratives help us to organize experiences and give them meaning. Previous approaches to understanding geographies in textual sources focus on geoparsing to automatically identify place names and allocate them to coordinates. Those are highly quantitative, and are limited to named places with coordinates, and have little concept of time. Narratives of journeys indicate that human experiences of geography are often subjective and more suited to qualitative representation. Geography is not limited to named places but incorporates the vague, imprecise, and ambiguous, e.g "the camp", or "the hills in the distance", and relative locations such as "near to", "on the left", "north of" or "a few hours' journey from". Places are organized worlds of meaning, characterized by experience, emotion, and memory as well as by geography. In this paper, we discuss our approach to gaining more insight from textual data beyond the toponyms and introduce an extensible framework for extracting, analyzing, and visualizing spatial elements that define the 'locale' as well as the 'sense of place' referenced in text using two test corpora -the Corpus of the Lake District Writing and Holocaust Survivors' Testimonies. CCS CONCEPTS• Information systems → Geographic information systems; Presentation of retrieval results; • General and reference → Experimentation; • Human-centered computing → Collaborative and social computing systems and tools.

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An ontological data model for points of interest (POI) in a cultural heritage site

Cited by 18 publications

References 38 publications

Toward cultural significance awareness in HIS: a data model approach

Toward cultural significance awareness in HIS: a data model approach

Cultural Heritage Information Retrieval: Past, Present, and Future Trends

Towards an Extensible Framework for Understanding Spatial Narratives

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