Documenting and sharing comparative analyses of 3D digital museum artifacts through semantic web annotations

Abstract

Understanding the similarities, differences, and relationships between cultural heritage artifacts is critical for determining their significance and their provenance. It also provides valuable information for ensuring the long-term preservation of cultural heritage artifacts. Consequently, as more museums develop online three-dimensional (3D) collections, curators and scholars are demanding online tools that enable them to document and interpret variances and similarities between related 3D digital objects. This article describes a system that was developed to enable museum curators and/or scholars to document relationships between multiple 3D digital representations of museum objects using web-based annotation tools. The 3D Semantic Association (3DSA) system enables users to annotate relationships between multiple whole objects, parts of objects, or features on objects (surface features or volumetric segments). The annotations are stored on a server in an interoperable format that can be shared, discovered, browsed, and retrieved through a web browser interface. This approach not only improves scholars’ capabilities to undertake cultural heritage research but also enables researchers to document, share, discuss, and compare alternative hypotheses about the relationships between artifacts.

Effective Annotations Over 3D Models

“…The 3D semantic association (3DSA) system [YH13] allows the creation of annotations on 3D surfaces. The web system works only with single resolution models, and regions are defined by selecting best overlapping subsets .…”

Towards a Conceptual Framework for Persistent Use: A Technical Plan to Achieve Semantic Interoperability within Electronic Health Record Systems

“…There was currently no single source data standardization model to achieve semantic health data interoperability between heterogeneous systems [37], [46]. Clinical information systems currently use different data standardization terminology repositories (HL7, LOINC, SNOMED) for the exchange of health data and information which was a major barrier to EHR interoperability [37].…”

“…As the body of knowledge was examined, it was determined that various researchers had also explored this conceptual basis of the problem of EHR interoperability -the lack of a comprehensive data standards model to promote interoperability [1], [2], [43], [46], [22], [18], [44], [10]. While many researched this problem from the perspective of varied concentrated areas of interest, the general consensus remained the same; there still remained a deficiency in the way health information could be exchanged within multiple healthcare organizations across states or even locally.…”

Towards a Conceptual Framework for Persistent Use: A Technical Plan to Achieve Semantic Interoperability within Electronic Health Record Systems

“…There is currently no single source data standardization model to achieve semantic health data interoperability between heterogeneous systems [31], [41]. Clinical information systems currently use different data standardization terminology repositories (HL7, LOINC, SNOMED) for the exchange of health data and information which is a major barrier to EHR interoperability [31].…”

“…As the body of knowledge was examined, it was determined that various researchers have also explored this conceptual basis of the problem of EHR interoperability -the lack of a comprehensive data standards model to promote interoperability [1], [2], [38], [41], [18], [16], [39], [9]. While many researched this problem from the perspective of varied concentrated areas of interest, the general consensus remains the same; there still remains a deficiency in the way health information can be exchanged within multiple healthcare organizations across states or even locally.…”