Hierarchies within range space

Author(s):  
Wendell Piez

LMNL provides a markup syntax for annotating arbitrary ranges, irrespective of hierarchical relations, in text. A LMNL processor can parse this syntax (or any other syntax, if mapped) into a generalized data model, which can be queried and processed. Among the applications that LMNL supports readily is the creation of visual "sketches" of the markup on a document, e.g. using SVG. Such sketches can discover and depict any range relations of interest. It turns out the overlap is often less interesting than the hierarchies. Examining texts showing overlapping hierarchies (MCH or multiple concurrent hierarchies) suggests some interesting things about the evolution, purposes and uses of the OHCO (ordered hierarchy of content objects) as a concept applied to "documents" or literary artifacts in general— and by implication of any hierarchical data model such as XML.

2021 ◽  
Vol 14 (1) ◽  
pp. 37-54
Author(s):  
Song Tian

In geographical field, the researches on spatial hierarchies are extensive, but there is a lack of effective method to generate and express hierarchical spatial structures. As a frequently-used visualising method, Voronoi Treemaps are able to represent hierarchical data, but limited to displaying non-spatial data. The approach of geographical Voronoi Treemaps is proposed to solve these problems by allowing for spatial division from point features with spatial coordinates and references. Additionally, this enables to create hierarchical layouts in the form of Voronoi Treemap in GIS environments with the ArcGIS Engine. The generated layouts are saved in a geodatabase, which is convenient for adding GIS enhancements such as colouring, edge sizes, legends, borders, scales, and compass. The approach aims to establish a kind of spatial data model to represent urban hierarchies, organisation structures and region differences and so on, which expands the application range of Voronoi Treemaps in the geographical field.


2020 ◽  
pp. paper12-1-paper12-15
Author(s):  
Sergey Presnyakov ◽  
Grigory Boyarshinov ◽  
Anastasia Odintsova ◽  
Alena Rybkina

The article describes methods for spherical visualizing of data as global geophysical, environmental, atmospheric processes on the surface of planets and different kinds of processes on the surface of spherical bodies. Such data can be demonstrated through virtual globes and spherical screens. Volumetric visualization significantly increases the degree of visibility, comprehension and assimilation of the demonstrated content and may be used in the scientific and educational process. The main goal of this research is to develop database requirements for spherical visualization. The requirements are based on the modern educational and science research representation approaches. The following tasks have been formed and accomplished: a strict classification of data; a convenient way to interact at the stage of adding data to the database and analyzing; their representativeness; introduction of additional data classifications; the possibility of individual user navigation and a high degree of inter-activity. For the proposed model, the basic functions of the database management system are described. Requirements to a basic hierarchical data model were substantiated. The main object of hierarchical data model is a spherical Slide representing a separate topic of particular discipline. The superstructure is used above the hierarchical model in the form of an individual route map representing a directory with links to the main database.


2019 ◽  
pp. 453-460
Author(s):  
Vitalii I. Yesin ◽  
Mikolaj Karpinski ◽  
Maryna V. Yesina ◽  
Vladyslav V. Vilihura

The goal of the article is to develop a universal (standard) data model that allows you to get rid of the need for a costly policy of doing extra work when developing new ones or transforming existing relational databases (RDBs) caused by dynamic changes in the subject domain (SD). The requirements for the developed data model were formulated. In accordance with the formulated requirements, the data model was synthesized. To simplify the process of creating relational database schemas an algorithm for transforming the description of the subject domain into the relations of the universal basis of the developed model was proposed. The scientific novelty of the obtained results is: a data model that, unlike known ones, allows us to simplify the creation of RDB schemas at the stage of logical design of relational databases, under the conditions of dynamic changes in subject domains, due to the introduced universal basis of relations, as a means of describing structures and the presentation of data for various SDs has been developed.


2016 ◽  
pp. 032-037
Author(s):  
V.A. Reznichenko ◽  
◽  
I.S. Chystiakova ◽  

The paper is a logical continuation of the previously published work, which was dedicated to the creation of the data manipulation methods. Based on the previously created binary relational data structure we perform mappings of the ALC extension into relational data model (RDM). The results of previous research namely data structure RM2 and mappings of the basic ALC concepts into RDM was used in this paper.


Author(s):  
Mikko Heikkinen ◽  
Ville-Matti Riihikoski ◽  
Anniina Kuusijärvi ◽  
Dare Talvitie ◽  
Tapani Lahti ◽  
...  

Many natural history museums share a common problem: a multitude of legacy collection management systems (CMS) and the difficulty of finding a new system to replace them. Kotka is a CMS created by the Finnish Museum of Natural History (Luomus) to solve this problem. Its development started in late 2011 and was put into operational use in 2012. Kotka was first built to replace dozens of in-house systems previously used at Luomus, but eventually grew into a national system, which is now used by 10 institutions in Finland. Kotka currently holds c. 1.7 million specimens from zoological, botanical, paleontological, microbial and botanic garden collections, as well as data from genomic resource collections. Kotka is designed to fit the needs of different types of collections and can be further adapted when new needs arise. Kotka differs in many ways from traditional CMS's. It applies simple and pragmatic approaches. This has helped it to grow into a widely used system despite limited development resources – on average less than one full-time equivalent developer (FTE). The aim of Kotka is to improve collection management efficiency by providing practical tools. It emphasizes the quantity of digitized specimens over completeness of the data. It also harmonizes collection management practices by bringing all types of collections under one system. Kotka stores data mostly in a denormalized free text format using a triplestore and a simple hierarchical data model (Fig. 1). This allows greater flexibility of use and faster development compared to a normalized relational database. New data fields and structures can easily be added as needs arise. Kotka does some data validation, but quality control is seen as a continuous process and is mostly done after the data has been recorded into the system. The data model is loosely based on the ABCD (Access to Biological Collection Data) standard, but has been adapted to support practical needs. Kotka is a web application and data can be entered, edited, searched and exported through a browser-based user interface. However, most users prefer to enter new data in customizable MS-Excel templates, which support the hierarchical data model, and upload these to Kotka. Batch updates can also be done using Excel. Kotka stores all revisions of the data to avoid any data loss due to technical or human error. Kotka also supports designing and printing specimen labels, annotations by external users, as well as handling accessions, loan transactions, and the Nagoya protocol. Taxonomy management is done using a separate system provided by the Finnish Biodiversity Information Facility (FinBIF). This decoupling also allows entering specimen data before the taxonomy is updated, which speeds up specimen digitization. Every specimen is given a persistent unique HTTP-URI identifier (CETAF stable identifiers). Specimen data is accessible through the FinBIF portal at species.fi, and will later be shared to GBIF according to agreements with data holders. Kotka is continuously developed and adapted to new requirements in close collaboration with curators and technical collection staff, using agile software development methods. It is available as open source, but is tightly integrated with other FinBIF infrastructure, and currently only offered as an online service (Software as a Service) hosted by FinBIF.


2020 ◽  
Vol 9 (18) ◽  
Author(s):  
Carlos Marín-Lora ◽  
Miguel Chover ◽  
Cristina Rebollo ◽  
Inmaculada Remolar

<span id="docs-internal-guid-53ba3190-7fff-f986-eada-0c6951574db9"><span>The creation of video games involves multidisciplinary processes that are not accessible to the general public. Currently, the development environments are very powerful tools, but they also require an advanced technical level to even start using them. This article presents a 2D game development environment to propose an alternative model to reduce the technical complexity existing in these systems, presenting a data model and a game editor that allows fulfilling this goal. In order to test its capabilities, several games have been successfully implemented in the proposed environment. With this achievement, it can be stated that it is possible to create video games simply and affordably for the general public without giving up its potential and remarking that there is still a long way to go to reach democratization in the creation of video games and the need to continue working in this field.</span></span>


Author(s):  
M. Du ◽  
J. Wang ◽  
C. Jing ◽  
J. Jiang ◽  
Q. Chen

<p><strong>Abstract.</strong> Maintaining an up-to-date inventory of urban infrastructure such as fire hydrant is critical to urban management. Street view database such as Google Street View and Baidu Street View contain street-level images, their potential for urban management has not been fully explored. For the massive image, data model for storage and indexing is an important research issue. Considering multiple cameras and GPS device in the image capturing platform, a hierarchical data model named 3D-Grid is proposed. Massive street view images were stored according to grid ID, GPS time and camera ID. An efficient time indexing algorithm is brought forth to replace the spatial indexing. Real test experiments are conducted in a project, and the validation and feasibility of 3D-Grid including time indexing algorithm were validated.</p>


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