Multi-source heterogeneous Hakka culture heritage data management based on MongoDB

Wu, Qunyong; Chen, Chongcheng; Jiang, Ying

doi:10.1109/agro-geoinformatics.2016.7577628

Cited by 7 publications

(6 citation statements)

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“…Despite the usefulness of this approach, the heritage information is too heterogeneous for a replication of the implementation. The NoSQL approaches are now recommended for such applications [50]. The approach relies on a BIMLegacy approach which means that the acquire point clouds have to be modelled through a Scan-to-BIM approach.…”

Section: Heritage Information Systemmentioning

confidence: 99%

“…Despite the usefulness of this approach, the heritage information is too heterogeneous for a replication of the implementation. The NoSQL approaches are now recommended for such applications [50]. The 3D Online Presenter (3DHOP) project is an open-source software package for the creation of interactive web presentation of high-resolution 3D models.…”

Section: Heritage Information Systemmentioning

confidence: 99%

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A Built Heritage Information System Based on Point Cloud Data: HIS-PC

Poux

Billen

Kasprzyk

et al. 2020

IJGI

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The digital management of an archaeological site requires to store, organise, access and represent all the information that is collected on the field. Heritage building information modelling, archaeological or heritage information systems now tend to propose a common framework where all the materials are managed from a central database and visualised through a 3D representation. In this research, we offer the development of a built heritage information system prototype based on a high-resolution 3D point cloud data set. The particularity of the approach is to consider a user-centred development methodology while avoiding meshing/down-sampling operations. The proposed system is initiated by a close collaboration between multi-modal users (managers, visitors, curators) and a development team (designers, developers, architects). The developed heritage information system permits the management of spatial and temporal information, including a wide range of semantics using relational along with NoSQL databases. The semantics used to describe the artifacts are subject to conceptual modelling. Finally, the system proposes a bi-directional communication with a 3D interface able to stream massive point clouds, which is a big step forward to provide a comprehensive site representation for stakeholders while minimising modelling costs.

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Section: Heritage Information Systemmentioning

confidence: 99%

“…Despite the usefulness of this approach, the heritage information is too heterogeneous for a replication of the implementation. The NoSQL approaches are now recommended for such applications [50]. The 3D Online Presenter (3DHOP) project is an open-source software package for the creation of interactive web presentation of high-resolution 3D models.…”

Section: Heritage Information Systemmentioning

confidence: 99%

A Built Heritage Information System Based on Point Cloud Data: HIS-PC

Poux

Billen

Kasprzyk

et al. 2020

IJGI

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“…NoSQL technology has high availability and high scalability, which provides new methods for the storage and management of unstructured data. NoSQL technology abandons the relational model of paradigm constraint, can store data with different types, and has high scalability characteristics [ 61 ]. These features make NoSQL databases attractive for storing and managing multimedia data.…”

Section: Classification Of Research Papersmentioning

confidence: 99%

“…NoSQL technology has high availability and high scalability, this provides new methods for data storage and management of Hakka culture. In [ 61 ], Wu, Chen & Jiang managed unstructured data of the Hakka culture using MongoDB. Data from the Hakka culture of western Fujian were taken as an example and the prototype data management system was built.…”

Section: Description Of the Set Of Work By Categorymentioning

confidence: 99%

Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review

Castro-Medina

Rodríguez-Mazahua

López-Chau

et al. 2020

Entropy

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Fragmentation is a design technique widely used in multimedia databases, because it produces substantial benefits in reducing response times, causing lower execution costs in each operation performed. Multimedia databases include data whose main characteristic is their large size, therefore, database administrators face a challenge of great importance, since they must contemplate the different qualities of non-trivial data. These databases over time undergo changes in their access patterns. Different fragmentation techniques presented in related studies show adequate workflows, however, some do not contemplate changes in access patterns. This paper aims to provide an in-depth review of the literature related to dynamic fragmentation of multimedia databases, to identify the main challenges, technologies employed, types of fragmentation used, and characteristics of the cost model. This review provides valuable information for database administrators by showing essential characteristics to perform proper fragmentation and to improve the performance of fragmentation schemes. The reduction of costs in fragmentation methods is one of the most desired main properties. To fulfill this objective, the works include cost models, covering different qualities. In this analysis, a set of characteristics used in the cost models of each work is presented to facilitate the creation of a new cost model including the most used qualities. In addition, different data sets or reference points used in the testing stage of each work analyzed are presented.

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“…To store data from crawler service, we are using non-traditional database keyvalue MongoDB for handling structure, semi-structure and unstructured data. There are many advantages of MongoDB as mention in [3][4][5], this type NoSQL document-oriented database using JSON-like format called Binary JSON (BSON), support for partition and MapReduce. MongoDB is using document store model, allow developer to create freeschema, running on multiplatform and opensource.…”

Section: структура данных индекса функциональность и микросервисы в mentioning

confidence: 99%

Index data structure, functionality and microservices in thematic virtual museums

2018

Vestnik SPbSU. Applied Mathematics. Computer Science. Control P

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Emergence of digital data in the digital age is inevitable, many people rely on search engines for searching information on the Internet. Cultural exhibitions have long ago appeared in virtual museums online as public services which provide a great deal of digital information about collections. In this work we will develop our methods to design and combine services for accessing data in a virtual museum, index data structure with a ranking system and microservices architecture. The digital transformation phenomena are changing institutional innovation and creativity, the museum institution must provide good impact, experiences and values to their visitors, therefore our methodology to develop, organize and integrate a theme in museums institution as an approach to build the concept of Thematic Virtual Museums which serving and providing their visitors powerful relevant information of museum's collections. Refs 17. Figs 5. Table 1.

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Multi-source heterogeneous Hakka culture heritage data management based on MongoDB

Cited by 7 publications

References 0 publications

A Built Heritage Information System Based on Point Cloud Data: HIS-PC

A Built Heritage Information System Based on Point Cloud Data: HIS-PC

Application of Dynamic Fragmentation Methods in Multimedia Databases: A Review

Index data structure, functionality and microservices in thematic virtual museums

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