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Journal articles on the topic 'DATA INTEGRATION APPROACH'

Author: Grafiati

Published: 11 September 2023

Last updated: 31 July 2025

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1

Todorova, Violeta, Veska Gancheva, and Valeri Mladenov. "COVID-19 Medical Data Integration Approach." MOLECULAR SCIENCES AND APPLICATIONS 2 (July 18, 2022): 102–6. http://dx.doi.org/10.37394/232023.2022.2.11.

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The need to create automated methods for extracting knowledge from data arises from the accumulation of a large amount of data. This paper presents a conceptual model for integrating and processing medical data in three layers, comprising a total of six phases: a model for integrating, filtering, sorting and aggregating Covid-19 data. A medical data integration workflow was designed, including steps of data integration, filtering and sorting. The workflow for Covid-19 medical data from clinical records of 20400 potential patients was employed.

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Aftab, Shoohira, Hammad Afzal, and Amna Khalid. "An Approach for Secure Semantic Data Integration at Data as a Service (DaaS) Layer." International Journal of Information and Education Technology 5, no. 2 (2015): 124–30. http://dx.doi.org/10.7763/ijiet.2015.v5.488.

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Soriano, Lorna T. "An ETL-Driven Approach Data Integration for State Universities and Colleges." Journal of Advanced Research in Dynamical and Control Systems 12, no. 01-Special Issue (2020): 234–42. http://dx.doi.org/10.5373/jardcs/v12sp1/20201068.

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Genesereth, Michael. "Data Integration: The Relational Logic Approach." Synthesis Lectures on Artificial Intelligence and Machine Learning 4, no. 1 (2010): 1–97. http://dx.doi.org/10.2200/s00226ed1v01y200911aim008.

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Fusco, Giuseppe, and Lerina Aversano. "An approach for semantic integration of heterogeneous data sources." PeerJ Computer Science 6 (March 2, 2020): e254. http://dx.doi.org/10.7717/peerj-cs.254.

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Integrating data from multiple heterogeneous data sources entails dealing with data distributed among heterogeneous information sources, which can be structured, semi-structured or unstructured, and providing the user with a unified view of these data. Thus, in general, gathering information is challenging, and one of the main reasons is that data sources are designed to support specific applications. Very often their structure is unknown to the large part of users. Moreover, the stored data is often redundant, mixed with information only needed to support enterprise processes, and incomplete

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CALVANESE, DIEGO, GIUSEPPE DE GIACOMO, MAURIZIO LENZERINI, DANIELE NARDI, and RICCARDO ROSATI. "DATA INTEGRATION IN DATA WAREHOUSING." International Journal of Cooperative Information Systems 10, no. 03 (2001): 237–71. http://dx.doi.org/10.1142/s0218843001000345.

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Information integration is one of the most important aspects of a Data Warehouse. When data passes from the sources of the application-oriented operational environment to the Data Warehouse, possible inconsistencies and redundancies should be resolved, so that the warehouse is able to provide an integrated and reconciled view of data of the organization. We describe a novel approach to data integration in Data Warehousing. Our approach is based on a conceptual representation of the Data Warehouse application domain, and follows the so-called local-as-view paradigm: both source and Data Warehou

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Hasani, S., A. Sadeghi-Niaraki, and M. Jelokhani-Niaraki. "SPATIAL DATA INTEGRATION USING ONTOLOGY-BASED APPROACH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (December 11, 2015): 293–96. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-293-2015.

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In today's world, the necessity for spatial data for various organizations is becoming so crucial that many of these organizations have begun to produce spatial data for that purpose. In some circumstances, the need to obtain real time integrated data requires sustainable mechanism to process real-time integration. Case in point, the disater management situations that requires obtaining real time data from various sources of information. One of the problematic challenges in the mentioned situation is the high degree of heterogeneity between different organizations data. To solve this issue, we

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Rohn, Eli. "CAS-Based Approach for Automatic Data Integration." American Journal of Operations Research 03, no. 01 (2013): 181–86. http://dx.doi.org/10.4236/ajor.2013.31a017.

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Sanderson, David, Jack C. Chaplin, and Svetan Ratchev. "Affordable Data Integration Approach for Production Enterprises." Procedia CIRP 93 (2020): 616–21. http://dx.doi.org/10.1016/j.procir.2020.04.124.

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GRANT, JOHN, and JACK MINKER. "A logic-based approach to data integration." Theory and Practice of Logic Programming 2, no. 03 (2002): 323–68. http://dx.doi.org/10.1017/s1471068401001375.

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Tattersall, Andrew. "Planning for integration — a data oriented approach." Computer Integrated Manufacturing Systems 1, no. 3 (1988): 161–68. http://dx.doi.org/10.1016/0951-5240(88)90073-0.

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Kumar Singu, Santosh. "Real-Time Data Integration in the Cloud with Informatica PowerCenter: A Practical Approach." International Journal of Science and Research (IJSR) 13, no. 2 (2024): 1886–91. http://dx.doi.org/10.21275/sr240210091406.

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Curcin, V., A. Barton, M. M. McGilchrist, et al. "Clinical Data Integration Model." Methods of Information in Medicine 54, no. 01 (2015): 16–23. http://dx.doi.org/10.3414/me13-02-0024.

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SummaryIntroduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Managing Interoperability and Complexity in Health Systems”.Background: Primary care data is the single richest source of routine health care data. However its use, both in research and clinical work, often requires data from multiple clinical sites, clinical trials databases and registries. Data integration and interoperability are therefore of utmost importance.Objectives: TRANSFoRm’s general approach relies on a unified interoperability framework, described in a previous paper. We develope

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Vargas-Vera, Maria. "Data Integration Framework." International Journal of Knowledge Society Research 7, no. 1 (2016): 99–112. http://dx.doi.org/10.4018/ijksr.2016010107.

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This paper presents a proposal for a data integration framework. The purpose of the framework is to locate automatically records of participants from the ALSPAC database (Avon Longitudinal Study of Parents and Children) within its counterpart GPRD database (General Practice Research Database). The ALSPAC database is a collection of data from children and parents from before birth to late puberty. This collection contains several variables of interest for clinical researchers but we concentrate in asthma as a golden standard for evaluation of asthma has been made by a clinical researcher. The m

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Bartalesi, Valentina, Carlo Meghini, and Costantino Thanos. "A data model-independent approach to big research data integration." International Journal of Metadata, Semantics and Ontologies 13, no. 4 (2019): 330. http://dx.doi.org/10.1504/ijmso.2019.10024347.

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Bartalesi, Valentina, Carlo Meghini, and Costantino Thanos. "A data model-independent approach to big research data integration." International Journal of Metadata, Semantics and Ontologies 13, no. 4 (2019): 330. http://dx.doi.org/10.1504/ijmso.2019.102680.

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Dr.A.Mekala. "An Ontology Approach to Data Integration using Mapping Method." International Journal for Modern Trends in Science and Technology 6, no. 12 (2020): 28–32. http://dx.doi.org/10.46501/ijmtst061206.

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Text mining is a technique to discover meaningful patterns from the available text documents. The pattern sighting from the text and document association of document is a well-known problem in data mining. Analysis of text content and categorization of the documents is a composite task of data mining. Some of them are supervised and some of them unsupervised manner of document compilation. The term “Federated Databases” refers to the in sequence integration of distributed, autonomous and heterogeneous databases. Nevertheless, a federation can also include information systems, not only database

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Daraio, Cinzia, Simone Di Leo, and Monica Scannapieco. "Accounting for quality in data integration systems: a completeness-aware integration approach." Scientometrics 127, no. 3 (2022): 1465–90. http://dx.doi.org/10.1007/s11192-022-04266-0.

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AbstractEnsuring the quality of integrated data is undoubtedly one of the main problems of integrated data systems. When focusing on multi-national and historical data integration systems, where the “space” and “time” dimensions play a relevant role, it is very much important to build the integration layer in such a way that the final user accesses a layer that is “by design” as much complete as possible. In this paper, we propose a method for accessing data in multipurpose data infrastructures, like data integration systems, which has the properties of (i) relieving the final user from the ne

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Truman, Gregory E. "A Discrepancy-Based Measurement Approach for Data Integration." Journal of Organizational Computing and Electronic Commerce 8, no. 3 (1998): 169–93. http://dx.doi.org/10.1207/s15327744joce0803_1.

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Fayaz Ahmed, P. Mohammad, and Gunthati Prathap. "An Integration Approach for Data Extraction and Coalition." International Journal of Computer Trends and Technology 13, no. 3 (2014): 128–31. http://dx.doi.org/10.14445/22312803/ijctt-v13p127.

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Trinh, Tuan-Dat, Peter Wetz, Ba-Lam Do, Elmar Kiesling, and A. Min Tjoa. "Distributed mashups: a collaborative approach to data integration." International Journal of Web Information Systems 11, no. 3 (2015): 370–96. http://dx.doi.org/10.1108/ijwis-04-2015-0018.

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Purpose – This paper aims to present a collaborative mashup platform for dynamic integration of heterogeneous data sources. The platform encourages sharing and connects data publishers, integrators, developers and end users. Design/methodology/approach – This approach is based on a visual programming paradigm and follows three fundamental principles: openness, connectedness and reusability. The platform is based on semantic Web technologies and the concept of linked widgets, i.e. semantic modules that allow users to access, integrate and visualize data in a creative and collaborative manner. F

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Zhu, Fujun, Mark Turner, Ioannis Kotsiopoulos, et al. "Dynamic data integration: a service-based broker approach." International Journal of Business Process Integration and Management 1, no. 3 (2006): 175. http://dx.doi.org/10.1504/ijbpim.2006.010903.

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Amghar, Souad, Safae Cherdal, and Salma Mouline. "A Schema Integration Approach for Big Data Analysis." Ingénierie des systèmes d information 28, no. 2 (2023): 315–25. http://dx.doi.org/10.18280/isi.280207.

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A huge volume of data is analyzed by organizations to understand their clients and improve their services. In many cases, these data are stored separately in different database systems and need to be integrated before being used in analysis tools or prediction applications. One of the main tasks of data integration process is the definition of the global schema. Defining a global schema in the context of NoSQL systems is a demanding task since it necessitates dealing with a variety of issues, including the lack of local schemas, data model heterogeneity, and semantic heterogeneity. To address

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Meenakshi, Kathayat. "Application of Data Mining Techniques for Improving Continuous Integration." International Journal of Engineering and Management Research 8, no. 5 (2018): 20–23. https://doi.org/10.31033/ijemr.8.5.4.

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Continuous integration is a software development process where members of a team frequently integrate the work done by them. Generally each person integrates at least daily - leading to multiple integrations per day. Integration done by each developer is verified by an automated build (including test) to detect integration errors as quickly as possible. Many teams find that this approach reduces integration problems and allows a team to develop cohesive software rapidly. Continuous Integration doesn’t remove bugs, but it does make them dramatically easier to find and remove. This paper p

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Chromiak, Michal, and Marcin Grabowiecki. "Heterogeneous Data Integration Architecture-Challenging Integration Issues." Annales Universitatis Mariae Curie-Sklodowska, sectio AI – Informatica 15, no. 1 (2015): 7. http://dx.doi.org/10.17951/ai.2015.15.1.7-11.

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As of today, most of the data processing systems have to deal with a large amount of data originated from numerous sources. Data sources almost always differ regarding its purpose of existence. Thus model, data processing engine and technology differ intensely. Due to current trend for systems fusion there is a growing demand for data to be present in a common way regardless of its legacy. Many systems have been devised as a response to such integration needs. However, the present data integration systems mostly are dedicated solutions that bring constraints and issues when considered in gener

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FALOMIR, ZOE, VICENT CASTELLÓ, M. TERESA ESCRIG, and JUAN CARLOS PERIS. "FUZZY DISTANCE SENSOR DATA INTEGRATION AND INTERPRETATION." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 19, no. 03 (2011): 499–528. http://dx.doi.org/10.1142/s0218488511007106.

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An approach to distance sensor data integration that obtains a robust interpretation of the robot environment is presented in this paper. This approach consists in obtaining patterns of fuzzy distance zones from sensor readings; comparing these patterns in order to detect non-working sensors; and integrating the patterns obtained by each kind of sensor in order to obtain a final pattern that detects obstacles of any sort. A dissimilarity measure between fuzzy sets has been defined and applied to this approach. Moreover, an algorithm to classify orientation reference systems (built by corners d

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Colleoni Couto, Julia, Olimar Teixeira Borges, and Duncan Dubugras Ruiz. "Data integration in a Hadoop-based data lake: A bioinformatics case." International Journal of Data Mining & Knowledge Management Process 12, no. 4 (2022): 1–24. http://dx.doi.org/10.5121/ijdkp.2022.12401.

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When we work in a data lake, data integration is not easy, mainly because the data is usually stored in raw format. Manually performing data integration is a time-consuming task that requires the supervision of a specialist, which can make mistakes or not be able to see the optimal point for data integration among two or more datasets. This paper presents a model to perform heterogeneous in-memory data integration in a Hadoop-based data lake based on a top-k set similarity approach. Our main contribution is the process of ingesting, storing, processing, integrating, and visualizing the data in

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Pineda, Silvia, Daniel G. Bunis, Idit Kosti, and Marina Sirota. "Data Integration for Immunology." Annual Review of Biomedical Data Science 3, no. 1 (2020): 113–36. http://dx.doi.org/10.1146/annurev-biodatasci-012420-122454.

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Over the last several years, next-generation sequencing and its recent push toward single-cell resolution have transformed the landscape of immunology research by revealing novel complexities about all components of the immune system. With the vast amounts of diverse data currently being generated, and with the methods of analyzing and combining diverse data improving as well, integrative systems approaches are becoming more powerful. Previous integrative approaches have combined multiple data types and revealed ways that the immune system, both as a whole and as individual parts, is affected

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Nishanth Reddy Mandala. "ETL and data virtualization." World Journal of Advanced Research and Reviews 13, no. 2 (2022): 562–73. http://dx.doi.org/10.30574/wjarr.2022.13.2.0013.

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As organizations continue to adopt modern data architectures, the convergence of traditional ETL (Extract, Transform, Load) processes with data virtualization has emerged as a promising solution for integrating and managing complex data environments. Data virtualization allows real-time data access without physically moving the data, while ETL provides the foundation for data transformation and integration. This paper explores the integration of ETL and data virtualization, its benefits, and challenges, and provides insights into how businesses can leverage this approach to create a unified da

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Vinasco-Alvarez, D., J. Samuel, S. Servigne, and G. Gesquière. "TOWARDS LIMITING SEMANTIC DATA LOSS IN 4D URBAN DATA SEMANTIC GRAPH GENERATION." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences VIII-4/W2-2021 (October 7, 2021): 37–44. http://dx.doi.org/10.5194/isprs-annals-viii-4-w2-2021-37-2021.

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Abstract. To enrich urban digital twins and better understand city evolution, the integration of heterogeneous, spatio-temporal data has become a large area of research in the enrichment of 3D and 4D (3D + Time) semantic city models. These models, which can represent the 3D geospatial data of a city and their evolving semantic relations, may require data-driven integration approaches to provide temporal and concurrent views of the urban landscape. However, data integration often requires the transformation or conversion of data into a single shared data format, which can be prone to semantic d

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Usery, E. Lynn, Michael P. Finn, and Michael Starbuck. "Data Layer Integration for The National Map of the United States." Cartographic Perspectives, no. 62 (March 1, 2009): 28–41. http://dx.doi.org/10.14714/cp62.183.

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The integration of geographic data layers in multiple raster and vector formats, from many different organizations and at a variety of resolutions and scales, is a significant problem for The National Map of the United States being developed by the U.S. Geological Survey. Our research has examined data integration from a layer-based approach for five of The National Map data layers: digital orthoimages, elevation, land cover, hydrography, and transportation. An empirical approach has included visual assessment by a set of respondents with statistical analysis to establish the meaning of variou

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Geetha Sharanya Bolla. "Emerging technologies in healthcare data integration: A microservices approach." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 405–9. https://doi.org/10.30574/wjaets.2025.15.2.0554.

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Emerging technologies in healthcare data integration are transforming the landscape of medical information systems through microservices architecture. Healthcare organizations face significant challenges with fragmented, monolithic systems that impede efficient patient care delivery and operational performance. This comprehensive article on healthcare data integration reveals the evolution from isolated electronic health record systems with point-to-point interfaces to modern, cloud-native architectures leveraging microservices. The transition demonstrates quantifiable improvements across mult

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Aggoune, Aicha. "Intelligent data integration from heterogeneous relational databases containing incomplete and uncertain information." Intelligent Data Analysis 26, no. 1 (2022): 75–99. http://dx.doi.org/10.3233/ida-205535.

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The integration of incomplete and uncertain information has emerged as a crucial issue in many application domains, including data warehousing, data mining, data analysis, and artificial intelligence. This paper proposes a novel approach of mediation-based integration for integrating these types of information from heterogeneous relational databases. We present in detail the different processes in the layered architecture of the proposed flexible mediator system. The integration process of our mediator is based on the use of fuzzy logic and semantic similarity measures for more effective integ

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Hands, Africa S. "Integrating quantitative and qualitative data in mixed methods research: An illustration." Canadian Journal of Information and Library Science 45, no. 1 (2022): 1–20. http://dx.doi.org/10.5206/cjilsrcsib.v45i1.10645.

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Employing a mixed methods approach to research is meant to deliver a comprehensive examination of the phenomenon under study. An integral step in mixed methods research is integrating qualitative and quantitative data. However, published reports rarely detail the process of mixing data from both approaches. Presented here is an illustration of integrating qualitative and quantitative data sets using a convergence table. A review of mixed methods research in LIS is presented, and a reflection on the challenges of integration is shared. As the mixed methods approach increases in LIS research, th

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Coover, E. "Voice - data integration in the office: A PBX approach." IEEE Communications Magazine 24, no. 7 (1986): 24–29. http://dx.doi.org/10.1109/mcom.1986.1093129.

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Nguyen, Tin, Rebecca Tagett, Diana Diaz, and Sorin Draghici. "A novel approach for data integration and disease subtyping." Genome Research 27, no. 12 (2017): 2025–39. http://dx.doi.org/10.1101/gr.215129.116.

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Batanov, D. N., and A. K. Lekova. "Data and knowledge integration through the feature-based approach." Artificial Intelligence in Engineering 8, no. 1 (1993): 77–83. http://dx.doi.org/10.1016/0954-1810(93)90033-c.

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May, Wolfgang. "Logic-based XML data integration: a semi-materializing approach." Journal of Applied Logic 3, no. 2 (2005): 271–307. http://dx.doi.org/10.1016/j.jal.2004.07.020.

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Klauza, Marcin, Piotr Czekalski, and Krzysztof Tokarz. "Air Traffic Data Integration using the Semantic Web Approach." Athens Journal of Τechnology & Engineering 2, no. 2 (2015): 115–28. http://dx.doi.org/10.30958/ajte.2-2-4.

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Wu, Jue-Bo, and Zong-Ling Wu. "Comprehensive approach to semantic similarity for rapid data integration." International Journal of Control, Automation and Systems 12, no. 3 (2014): 680–87. http://dx.doi.org/10.1007/s12555-012-0291-y.

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Bala, Vignesh Charllo. "Efficient Data Harmonization in Distributed Systems: A Scalable Approach for Multi-Site Analytics." Journal of Scientific and Engineering Research 5, no. 7 (2018): 443–49. https://doi.org/10.5281/zenodo.13752722.

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Data harmonization in distributed systems, particularly within distributed environments, presents considerable challenges due to the heterogeneity and geographical dispersion of data sources. This research introduces a scalable and efficient framework designed to integrate, standardize, and cleanse data across diverse sources, thereby ensuring consistency, accuracy, and reliability. The framework employs a multi-phase process that includes advanced data integration and cleaning techniques, combined with the power of distributed computing and parallel processing to efficiently handle large-scal

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Niemi, Timo, Turkka Näppilä, and Kalervo Järvelin. "A relational data harmonization approach to XML." Journal of Information Science 35, no. 5 (2009): 571–601. http://dx.doi.org/10.1177/0165551509104231.

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There are numerous approaches for integrating data from heterogeneous data sources. A common background assumption is that the data sources remain quite stable and are known in advance. Hence an integration system can be built to manipulate them. In practice there is, however, often a demand for supporting ad hoc information needs concerning unexpected autonomous data sources containing volatile data. A different approach is therefore needed. We propose that semantically similar data are harmonized when extracting data from XML-based data sources. We introduce a constructor algebra, which is a

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Khanal, Ram Chandra. "Concerns and Challenges of Data Integration from Objective Post-Positivist Approach and a Subjective Non-Positivist Interpretive Approach and Their Validity/Credibility Issues." Journal of the Institute of Engineering 9, no. 1 (2014): 115–29. http://dx.doi.org/10.3126/jie.v9i1.10677.

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Integration of data derived from objective post positivist approach and interpretive non-positivist approach through mixed methods research has gained increasing attention in the recent past. But, at the same, concerns have been raised in the process of integrating data and, hence, enhancing validity/credibility of a research. This article seeks to analyze some concerns and challenges related to these aspects and provides some process to address these challenges. This article reviewed various peer reviewed journals and other grey literatures focusing on data integration within mixed method res

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Veernapu, Kiran. "Oracle ETL tools and ai integration: New data management approach." International Journal of Multidisciplinary Research and Growth Evaluation 1, no. 5 (2020): 120–24. https://doi.org/10.54660/.ijmrge.2020.1.5-120-124.

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Industries like Healthcare produce enormous amounts of data. Collecting, cleaning, and processing the data to make the data available for deep insights is a greater need in today’s competitive world. This process of data integration and data management is called Extract, Transform, Load (ETL). There are several products and tools in the market to accomplish this task. The focus of this paper is on Oracle data management tools, the Oracle ETL tool set. Combining Artificial Intelligence (AI) with ETL tools is changing how data is managed and processed. Oracle’s ETL tools, like Oracle Data Integr

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Wahyuni, Herpita, Dyah Mutiarin, Ulung Pribadi, et al. "Optimizing Data Interoperability: An Approach Towards Unified Employment Data in Indonesia." SHS Web of Conferences 204 (2024): 02002. http://dx.doi.org/10.1051/shsconf/202420402002.

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This research focuses on efforts to optimize data interoperability towards unified employment data in Indonesia, which consists of planning, manufacturing, integration, and marketing strategies using the Twitter social media account @kemnakerRI, which has the potential to provide valuable guidance for policy development, planning, and implementation of promotional strategies in future. Data analysis using NVivo 12 Plus comes from various media, news, and Twitter data support Revealing activity on social media accounts includes four main aspects. Planning (Planning) provided the most significan

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Chung, Yeounoh, Tim Kraska, Neoklis Polyzotis, Ki Hyun Tae, and Steven Euijong Whang. "Automated Data Slicing for Model Validation: A Big Data - AI Integration Approach." IEEE Transactions on Knowledge and Data Engineering 32, no. 12 (2020): 2284–96. http://dx.doi.org/10.1109/tkde.2019.2916074.

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Zhe, Zhang, and Huang Pei. "Approach to conceptual data integration for multidimensional data analysis in e-commerce." Journal of Systems Engineering and Electronics 17, no. 3 (2006): 635–41. http://dx.doi.org/10.1016/s1004-4132(06)60109-6.

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Muntean, Mihaela, Claudiu Brândaş, and Tanita Cîrstea. "Framework for a Symmetric Integration Approach." Symmetry 11, no. 2 (2019): 224. http://dx.doi.org/10.3390/sym11020224.

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An Application-to-Application integration framework in the cloud environment is proposed. The methodological demarche is developed using a data symmetry approach. Implementation aspects of integration considered the Open Data Protocol (OData) service as an integrator. An important issue in the cloud environment is to integrate and ensure the quality of transferred and processed data. An efficient way of ensuring the completeness and integrity of data transferred between different applications and systems is the symmetry of data integration. With these considerations, the integration of SAP Hyb

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Meddah, Fatiha Guerroudji, Yousra Ayouani, and Ishak H. A. Meddah. "An Integrated Approach to Geovisualize Epidemiological Data." International Journal of Applied Geospatial Research 13, no. 1 (2022): 1–12. http://dx.doi.org/10.4018/ijagr.298296.

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Today, geovisualization is frequently and effectively used to communicate and present geographic information. Indeed, By using dynamic and interactive tools, geovisualization makes it possible to catalyse the transition from raw data to informative data transmitted to the user via a graphic representation, such as the map or 3D visualization. In this paper we presents an integration system based on a methodological approach dedicated to geovisualization of epidemiological data integrating GIS and anamorphic maps :cartograms. The main objective is to explore raw data, structure it, and translat

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Miss, Jayshree Dnyandeo Muley1 &. Prof.Harsha R. Vyawahare2. "A HYBRID APPROACH FOR INFORMATION RETRIEVAL USING BIG DATA ANALYTICS." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES [NC-Rase 18] (November 13, 2018): 171–78. https://doi.org/10.5281/zenodo.1485451.

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Abstract:

Digital world is growing very fast and become more complex in the volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature. This refers to as ‘Big Data’ that is a global phenomenon. NoSQL databases are better solution for the Big Data demands. Because the users want to analyze this data together, the integration of relational and NoSQL databases becomes necessity. A vast amount of research work has been done in the multimedia area, targeting different aspects of big data analytics, such as the capture, storage, inde

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