Academic literature on the topic 'Data element mapping'

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Journal articles on the topic "Data element mapping"

1

Chen, Ya-Ning. "A RDF-based approach to metadata crosswalk for semantic interoperability at the data element level." Library Hi Tech 33, no. 2 (2015): 175–94. http://dx.doi.org/10.1108/lht-08-2014-0078.

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Purpose – The purpose of this paper is to propose a Resource Description Framework (RDF)-based approach to transform metadata crosswalking from equivalent lexical element mapping into semantic mapping with various contextual relationships. RDF is used as a crosswalk model to represent the contextual relationships implicitly embedded between described objects and their elements, including semantic, hierarchical, granular, syntactic and multiple object relationships to achieve semantic metadata interoperability at the data element level. Design/methodology/approach – This paper uses RDF to translate metadata elements and their relationships into semantic expressions, and also as a data model to define the syntax for element mapping. The feasibility of the proposed approach for semantic metadata crosswalking is examined based on two use cases – the Archives of Navy Ships Project and the Digital Artifacts Project of National Palace Museum in Taipei – both from the Taiwan e-Learning and Digital Archives Program. Findings – As the model developed is based on RDF-based expressions, unsolved issues related to crosswalking, such as sets of shared terms, and contextual relationships embedded between described objects and their metadata elements could be manifested into a semantic representation. Corresponding element mapping and mapping rules can be specified without ambiguity to achieve semantic metadata interoperability. Research limitations/implications – Five steps were developed to clarify the details of the RDF-based crosswalk. The RDF-based expressions can also serve as a basis from which to develop linked data and Semantic Web applications. More use cases including biodiversity artifacts of natural history museums and literary works of libraries, and conditions, constraints and cardinality of metadata data elements will be required to make revisions to fine tune the proposed RDF-based metadata crosswalk. Originality/value – In addition to reviving contextual relationships embedded between described objects and their metadata elements, nine types of mapping rules were developed to achieve a semantic metadata crosswalk which will facilitate the design of related mapping software. Furthermore, the proposed approach complements existing crosswalking documents provided by authoritative organizations, and enriches mapping language developed by the CIDOC community.
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Zhang, Yan. "Researching about Performance of Archiving History Data Based on XML under Hadoop." Applied Mechanics and Materials 380-384 (August 2013): 2482–85. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2482.

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Analyzed radical problem of historical data archiving in date warehouse, presented applying XML into archiving. Arithmetic of structuring level direct graph was provided. The arithmetic of mapping from data base structure to XML Schema based on level direct graph was implemented. In the meantime, the ways to describe all level elements, including base element, table element, recorder element, field element and relation ship between them, were provided. The experiment results are showed that the method is efficient.
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Wright, Sue Ellen, and Gerhard Budin. "Data elements in terminological entries." Terminology 1, no. 1 (1994): 41–59. http://dx.doi.org/10.1075/term.1.1.05wri.

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Differing theoretical and methodological views and working-group needs have spawned a wide diversity in the content, layout and internal structure of terminological entries in database environments, which in turn complicates standardization and data interchange. Major criticisms lodged against the data element list provided in ISO 6156 (MATER) prompted the authors to conduct an empirical examination of over thirty existing databases to ascertain which data elements are truly used in practice (as opposed to those which are espoused or rejected in theory). Their results reveal that designation of data elements, like other terminological products, are subject to the vagaries of polysemy and synonymy. They conclude that, given the widespread differences in approach evidenced in existing databases, the most practical approach to data element concerns during interchange is to compile an open-ended dictionary of common data element types for use as a mapping device during the data preparation stage.
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Yan, Ge, Heqin Cheng, Lizhi Teng, et al. "Analysis of the Use of Geomorphic Elements Mapping to Characterize Subaqueous Bedforms Using Multibeam Bathymetric Data in River System." Applied Sciences 10, no. 21 (2020): 7692. http://dx.doi.org/10.3390/app10217692.

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Riverbed micro-topographical features, such as crest and trough, flat bed, and scour pit, indicate the evolution of fluvial geomorphology, and have an influence on the stability of underwater structures and overall scour pits. Previous studies on bedform feature extraction have focused mainly on the rhythmic bed surface morphology and have extracted crest and trough, while flat bed and scour pit have been ignored. In this study, to extend the feature description of riverbeds, geomorphic elements mapping was used by employing three geomorphic element classification methods: Wood’s criteria, a self-organization map (SOM) technique, and geomorphons. The results showed that geomorphic element mapping can be controlled by adjusting the slope tolerance and curvature tolerance of Wood’s criteria, using the map unit number and combination of the SOM technique and the flatness of geomorphons. Relatively flat bed can be presented using “plane”, “flat planar”, and “flat” elements, while scour pit can be presented using a “pit” element. A comparison of the difference between parameter settings for landforms and bedforms showed that SOM using 8 or 10 map units is applicable for land and underwater surface and is thus preferentially recommended for use. Furthermore, the use of geomorphons is recommended as the optimal method for characterizing bedform features because it provides a simple element map in the absence of area loss.
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5

Hudecová, Ľubica. "Mapping as a Spatial Data Source." Slovak Journal of Civil Engineering 21, no. 1 (2013): 24–30. http://dx.doi.org/10.2478/sjce-2013-0004.

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Abstract The basic database for a geographic information system (BD GIS) forms the core of a national spatial data infrastructure. Nowadays decisions are being made about the potential data sources for additional data updates and refinement of the BD GIS. Will the data from departmental or other information system administrators serve for this purpose? This paper gives an answer as to whether it is advisable to use “geodetic mapping” (the results realized in the process of land consolidation) or “cadastral mapping” (the results realized in the process of the renewal of cadastral documentation by new mapping) for additional data updates. In our analysis we focus on the quality parameters at the individual data element level, namely the positional accuracy, attribute accuracy, logical consistency, and data resolution. The results of the analysis are compared with the contents of the Object Class Catalog of BD GIS (OCC), which describes the group of objects managed by BD GIS and defines the data collection methods, types of geometry and its properties.
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Aldaoud, Manar, Dawood Al-Abri, Medhat Awadalla, and Firdous Kausar. "Data Structure and Management Protocol to Enhance Name Resolving in Named Data Networking." Future Internet 16, no. 4 (2024): 118. http://dx.doi.org/10.3390/fi16040118.

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Named Data Networking (NDN) is a future Internet architecture that requires an Inter-Domain Routing (IDR) to route its traffic globally. Address resolution is a vital component of any IDR system that relies on a Domain Name System (DNS) resolver to translate domain names into their IP addresses in TCP/IP networks. This paper presents a novel two-element solution to enhance name-to-delivery location resolution in NDN networks, consisting of (1) a mapping table data structure and a searching mechanism and (2) a management protocol to automatically populate and modify the mapping table. The proposed solution is implemented and tested on the Peer Name Provider Server (PNPS) mapping table, and its performance is compared with two other algorithms: component and character tries. The findings show a notable enhancement in the operational speed of the mapping table when utilizing the proposed data structure. For instance, the insertion process is 37 times faster compared to previous algorithms.
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Shang, Jian Dong, Ya Peng Zhang, and Dong Fang Hu. "The Contrast Study on the Method of STEP/XML Data Transformation." Advanced Materials Research 403-408 (November 2011): 4103–7. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4103.

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Heterogeneous data sharing is always a bottleneck problem for the development of collaborative design. The method of STEP/XML element mapping achieves the data transformation between STEP and XML by establishing the mapping relationship of the two data. It’s hard to ensure all element mapping one to one and easy to cause the partial data loss. Based on the research, this paper put forward a new method with data encapsulation. It encapsulates the whole STEP data into the XML data by using of the XML character data, and then the data are uploaded to the collaborative design platform. Another designer can download it and get the original STEP data by using the XML parser. This method is not only easy to be realized, but also can ensure the integrity of the product model data conversion. It is more conducive to achieve collaborative design.
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8

Ledford, Allison, Susan Askew, and Edward Huang. "DATA ELEMENT MAPPING AND ANALYSIS (DEMA) TO ENABLE SYSTEMATIC MODEL CREATION USING SYSML." INCOSE International Symposium 34, no. 1 (2024): 2373–83. http://dx.doi.org/10.1002/iis2.13275.

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AbstractData Element Mapping and Analysis (DEMA) represents a new and systematic methodology for the standardized capture, mapping, and analysis of data threads essential for comprehending digital systems and their architecture. This research studies the synergies between DEMA and Systems Modeling Language (SysML). The study aims to enable the systematic creation of digital artifacts using SysML. The results show that DEMA can serve as a complementary tool, enhancing the creation of SysML models by improving knowledge capture and verification processes. The prototype DEMA to SysML framework presented in this work provides the foundation for a systematic methodology to enable the systematic creation of models using SysML.
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9

Fournelle, J., C. Davidson, F. Spear, M. Kohn, and H. Guo. "Trace Element Mapping of Minerals and Materials by Electron Microprobe." Microscopy and Microanalysis 5, S2 (1999): 630–31. http://dx.doi.org/10.1017/s1431927600016470.

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A strength of the modern electron microprobe is its ability to provide 2D compositional information about materials. These images give the ability to observe features that might otherwise pass unseen. Elements at the trace element level are generally ignored due to the high detection limits imposed by mapping under “standard” EMP conditions.Trace element mapping requires beam regulation at high (e.g. 300 nA) to very high (e.g. 3 μA) faraday cup currents, reliable beam and stage control, and suitable samples and mounting media. The ability to operate at high accelerating voltage to maximize Pk2/Bkg is desirable (Robinson and Graham, 1992), although we have encountered column difficulties above 25-30 kV.We are mapping trace and minor elements including Y, Sc, P, Cr, Mn, Ca, in garnets. Fig. 1 shows Y, Sc and Cr maps (Spear and Kohn, 1996; Kohn, Spear and Valley, 1997), and Fig. 2 Y and Sc maps (Cameron, unpub. data), produced with a Cameca SX51.
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10

Bektaş, Başak Aldemir. "Use of Recursive Partitioning to Predict National Bridge Inventory Condition Ratings from National Bridge Elements Condition Data." Transportation Research Record: Journal of the Transportation Research Board 2612, no. 1 (2017): 29–38. http://dx.doi.org/10.3141/2612-04.

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In the United States, National Bridge Inventory (NBI) condition ratings, since the 1970s, and AASHTO’s commonly recognized (CoRe) element condition data, since the 1990s, have provided two major sources of bridge condition data. Although these separate systems of condition assessment had their individual uses, comparing the two, and mapping one from the other had uses for both state and federal agencies and the bridge management community. Alternative methods for this mapping have been proposed in the literature with varying predictive accuracy. With the publication of the new AASHTO Manual for Bridge Element Inspection in 2013, national bridge elements (NBEs) replace the CoRe element condition data as the comparable condition data for the NBI condition ratings. This paper investigates the use of the recursive partitioning method to develop classification trees that predict NBI condition ratings from NBE condition data. On the basis of data from a 2016 submission and 12 transportation agencies, classification trees were developed that presented the most likely NBI condition ratings for a set of logical conditions based on the relative element quantities and the percentage of element quantities in the condition states. The predictive accuracies for the trees are sufficient, and the percentages of exact matches and matches within one error term are better than other studies in the literature. Although the trees can be improved in the future with the availability of more NBE data submissions, the study presented preliminary decision trees with sufficient predictive accuracy that could be adopted by transportation agencies for a variety of bridge management functions.
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