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Demographic and Principles of Electronic Computing
Published in Parveen Berwal, Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Shashi Kant, Computer Applications in Engineering and Management, 2022
Parveen Berwal, Jagjit Singh Dhatterwal, Kuldeep Singh Kaswan, Shashi Kant
The following procedures are followed: Using RDFa annotation1 to define all relevant data in a web application to use an ontology and then have the end-user fill out an (X) HTML form.Before the controlled high the webserver program for execution, the armored vehicle portion intercepted communications per HTTP request at the server-side.Use the online RDFa extractor to retrieve RDFa annotations from RDFa ontology terminology.Using the validator variable to ensure that all user inputs are correct.Where the check is successful, this request is transmitted to the guidelines for the design of the MySQL database; if the check is wrong, the application is refused.
Semantic Framework and Methodology for Cultural Heritage Data Integration Fore-Walkthrough
Published in Durgesh Kumar Mishra, Nilanjan Dey, Bharat Singh Deora, Amit Joshi, ICT for Competitive Strategies, 2020
M. Lissa, V. Bhuvaneswari, T. Devi
Semantic data integration requires a data-centric architecture built upon the standardized model for data publishing and interchange. The Semantic web is new layer of metadata being build inside the web. The ontology vocabularies helps to organize the terms with clear and explicit semantics for reasoning to infer information about related associaitons. In this paper semantic framework is modelled using Ontology to render semantic Web Stack. The challenge of Cultural heritage data is to make the content mutually interoperable, to search, link and present in a harmonized way across the boundaries of the datasets. The issues related to interoperability problems in Cultural Heritage is assembling the diverse content collected, maintained and published from varied sources represented by different architects with their own standards and best practices. Challenges in Semantic Web are to publish the content not only for human users in HTML form but also to make machines understand the conceptual relations across entities.
Semantic Interoperability of Long-Tail Geoscience Resources over the Web
Published in Ashok N. Srivastava, Ramakrishna Nemani, Karsten Steinhaeuser, Large-Scale Machine Learning in the Earth Sciences, 2017
Mostafa M. Elag, Praveen Kumar, Luigi Marini, Scott D. Peckham, Rui Liu
Semantic heterogeneity represents one of the primary challenges in Federated Information Retrieval (FIR) systems [53]. Currently, there are billions of triples (relationships) of data publicly available in the Web [54]. Although centralized databases can be used to collect and query large volumes of Web data, this approach requires significant disk space, dynamic synchronization between distributed data prepositions and a central repository, as well as optimization for the query statements [55]. FIR is considered a primary alternative for centralized databases [56]. It can exploit multiple disparate information systems with one query. An FIR system provides a single endpoint to multiple information resources and returns the related data in a standard and homogeneous format. It consists of a three-tier approach with independent participants constituting the back end. An information catalog or schema is used to act as a mediator between the user's query and the participant information systems. Users interact with the FIR system through an interface, which could be an HTML form or a Web service, that is, front end.
An open-source web service for creating quadrilateral grids based on the rHEALPix Discrete Global Grid System
Published in International Journal of Digital Earth, 2020
David Bowater, Emmanuel Stefanakis
Each operation is accessed through a HTML form which allows users to input a variety of parameters. These parameters are passed to the relevant Python code residing on the server, and results are either sent back to the client or stored in the /downloads folder for users to retrieve. To support sharing of information and reproducible science, all Python code is compressed in a zip folder and can be downloaded from the /python_code folder. Figure 2 shows the web service file structure.
Automated categorization of student's query
Published in International Journal of Computers and Applications, 2022
Naveen Kumar, Hare Krishna, Shashi Shubham, Prabhu Padarbind Rout
The proposed platform fetches the query from the student using an Html form, and then it is sent to the server. The server will perform the query categorization and send it to the authority responsible for handling the query. The query categorization process can be divided into five main stages, i.e. data collection, text preprocessing, feature reduction, classification, and performance evaluation. The overall process can be summarized using the flow chart shown in Figure 1.