Analysis of Web API Integration in Iranian Public Libraries for Job Postings and Vacancy Management

Kamal Tiwari

doi:10.55544/ijrah.3.2.35

Authors

Kamal Tiwari Research Scholar, Department of Management., Jiwaji University, Gwalior, INDIA.

DOI:

https://doi.org/10.55544/ijrah.3.2.35

Keywords:

Public library, Website, Web APIs

Abstract

Application Programming Interfaces (APIs) are software tools that help different programs work together. APIs can improve an organization's presence on the Web with tools that integrate various useful, popular programs. This study aimed to identify appropriate web-based APIs used by the most popular public library websites for presentation on Iranian public libraries’ websites. For this purpose, we conducted this study in two stages: In stage one, Web APIs were identified by reviewing the websites of the top public libraries in the world. Then, in stage two, using the obtained results, important Web APIs were selected utilizing experts' opinions (the heuristic method). In stage one, the 30 Web APIs in two categories were identified: 10 public Web APIs and 20 private Web APIs. Then, in stage two, 7 public APIs and 17 private Web APIs for these websites were selected, based on expert analysis. The results of this study can be used to improve the design of public library websites and enhance the communication of such websites' presence on the Web.

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References

Benslimane, D., Dustdar, S., & Sheth, A. (2008). Services mashups: The new generation of web applications. IEEE Internet Computing, 12(5), 13-15.

Cerf, V.G. (2019). APIs, standards, and enabling infrastructure. Communications of the ACM.

Cotton, I.W., & Greatorex Jr, F.S. (1968). Data structures and techniques for remote computer graphics. In Proceedings of the December 9-11, 1968, fall joint computer conference, part I, 533-544.

Davis, R.C. (2016). APIs and Libraries. Behavioral & Social Sciences Librarian, 35(4), 192-195.

Eaton, M. (2017). Seeing Library Data: A Prototype Data Visualization Application for Librarians. Journal of Web Librarianship, 11(1), 69-78. https://doi.org/10.1080/19322909.2016.1239236

EBLIDA. (2020). EBLIDA Members. 5 November 2020. http://www.eblida.org/membership/eblida-members.html

Prathyusha Nama, Purushotham Reddy, & Guru Prasad Selvarajan. (2023). Intelligent Data Replication Strategies: Using AI to Enhance Fault Tolerance and Performance in Multi-Node Database Systems. Well Testing Journal, 32, 110–122. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/111

Nama, P., Reddy, P., & Selvarajan, G. P. (2023). Intelligent data replication strategies: Using AI to enhance fault tolerance and performance in multi-node database systems. Well Testing Journal, 32, 110–122. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/111

Nama, P., Pattanayak, S., & Meka, H. S. (2023). AI-driven innovations in cloud computing: Transforming scalability, resource management, and predictive analytics in distributed systems. International Research Journal of Modernization in Engineering Technology and Science, 5(12), 4165. https://doi.org/10.56726/IRJMETS47900

Nama, P., Reddy, P., & Selvarajan, G. P. (2023). Leveraging generative AI for automated test case generation: A framework for enhanced coverage and defect detection. Well Testing Journal, 32(2), 74–91. Retrieved from https://welltestingjournal.com/index.php/WT/article/view/110

Cherukuri, H., Singh, S. P., & Vashishtha, S. (2020). Proactive issue resolution with advanced analytics in financial services. The International Journal of Engineering Research, 7(8), a1-a13.https://tijer.org/tijer/viewpaperforall.php?paper=TIJER2008001

Cherukuri, H., Goel, E. L., & Kushwaha, G. S. (2021). Monetizing financial data analytics: Best practice. International Journal of Computer Science and Publication (IJCSPub), 11(1), 76-87.

Chaturvedi, R., Sharma, S., & Narne, S. (2023). Advanced Big Data Mining Techniques for Early Detection of Heart Attacks in Clinical Data. Journal for Research in Applied Sciences and Biotechnology, 2(3), 305–316. https://doi.org/10.55544/jrasb.2.3.38

Chaturvedi, R., Sharma, S., & Narne, S. (2023). Harnessing Data Mining for Early Detection and Prognosis of Cancer: Techniques and Challenges. Journal for Research in Applied Sciences and Biotechnology, 2(1), 282–293. https://doi.org/10.55544/jrasb.2.1.42

Mehra, A. (2023). Strategies for scaling EdTech startups in emerging markets. International Journal of Communication Networks and Information Security, 15(1), 259-274. Available online at https://ijcnis.org

Mehra, A. (2021). The impact of public-private partnerships on global educational platforms. Journal of Informatics Education and Research, 1(3), 9-28. Retrieved from http://jier.org

Ankur Mehra. (2019). Driving Growth in the Creator Economy through Strategic Content Partnerships. International Journal for Research Publication and Seminar, 10(2), 118–135. https://doi.org/10.36676/jrps.v10.i2.1519

Ankur Mehra. (2023). Web3 and EdTech startups’ Market Expansion in APAC. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 2(2), 94–118. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/117

Mehra, A. (2023). Leveraging Data-Driven Insights to Enhance Market Share in the Media Industry. Journal for Research in Applied Sciences and Biotechnology, 2(3), 291–304. https://doi.org/10.55544/jrasb.2.3.37

Ankur Mehra. (2022). Effective Team Management Strategies in Global Organizations. Universal Research Reports, 9(4), 409–425. https://doi.org/10.36676/urr.v9.i4.1363

Mehra, A. (2023). Innovation in brand collaborations for digital media platforms. IJFANS: International Journal of Food and Nutritional Sciences, 12(6), 231–250.

Ankur Mehra. (2022). The Role of Strategic Alliances in the Growth of the Creator Economy. European Economic Letters (EEL), 12(1). Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1925

Swethasri Kavuri. (2022). Optimizing Data Refresh Mechanisms for Large-Scale Data Warehouses. International Journal of Communication Networks and Information Security (IJCNIS), 14(2), 285–305. Retrieved from https://www.ijcnis.org/index.php/ijcnis/article/view/7413

Swethasri Kavuri, Suman Narne, " Implementing Effective SLO Monitoring in High-Volume Data Processing Systems, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.558-578, March-April-2020. Available at doi : https://doi.org/10.32628/CSEIT206479

Swethasri Kavuri, Suman Narne, " Improving Performance of Data Extracts Using Window-Based Refresh Strategies, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 5, pp.359-377, September-October-2021. Available at doi : https://doi.org/10.32628/IJSRSET2310631

Swethasri Kavuri, " Automation in Distributed Shared Memory Testing for Multi-Processor Systems, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 3, pp.508-521, May-June-2019. Available at doi : https://doi.org/10.32628/IJSRSET12411594

Swethasri Kavuri, " Advanced Debugging Techniques for Multi-Processor Communication in 5G Systems, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 5, pp.360-384, September-October-2023. Available at doi : https://doi.org/10.32628/CSEIT239071

Shivarudra, A. (2021). Enhancing automation testing strategies for core banking applications. International Journal of All Research Education and Scientific Methods (IJARESM), 9(12), 1. Available online at http://www.ijaresm.com

Ashwini Shivarudra. (2023). Best Practices for Testing Payment Systems: A Focus on SWIFT, SEPA, and FED ISO Formats. International Journal of Communication Networks and Information Security (IJCNIS), 15(3), 330–344. Retrieved from https://www.ijcnis.org/index.php/ijcnis/article/view/7519

Shivarudra, A. (2019). Leveraging TOSCA and Selenium for efficient test automation in financial services. International Journal of All Research Education and Scientific Methods (IJARESM), 7(10), 56–64.

Shivarudra, A. (2021). The Role of Automation in Reducing Testing Time for Banking Systems. Integrated Journal for Research in Arts and Humanities, 1(1), 83–89. https://doi.org/10.55544/ijrah.1.1.12

Ashwini Shivarudra. (2022). Advanced Techniques in End-to-End Testing of Core Banking Solutions. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 1(2), 112–124. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/121

Shivarudra, A. (2022). Implementing Agile Testing Methodologies in Banking Software Project. Journal for Research in Applied Sciences and Biotechnology, 1(4), 215–225. https://doi.org/10.55544/jrasb.1.4.32

Bhatt, S. (2021). Optimizing SAP Migration Strategies to AWS: Best Practices and Lessons Learned. Integrated Journal for Research in Arts and Humanities, 1(1), 74–82. https://doi.org/10.55544/ijrah.1.1.11

Bhatt, S. (2022). Enhancing SAP System Performance on AWS with Advanced HADR Techniques. Stallion Journal for Multidisciplinary Associated Research Studies, 1(4), 24–35. https://doi.org/10.55544/sjmars.1.4.6

Bhatt, S., & Narne, S. (2023). Streamlining OS/DB Migrations for SAP Environments: A Comparative Analysis of Tools and Methods. Stallion Journal for Multidisciplinary Associated Research Studies, 2(4), 14–27. https://doi.org/10.55544/sjmars.2.4.3

Bhatt, S. (2023). Implementing SAP S/4HANA on AWS: Challenges and solutions for large enterprises. International Journal of Computer Science and Mobile Computing, 12(10), 71–88.

https://doi.org/10.47760/ijcsmc.2023.v12i10.007

Sachin Bhatt , " Innovations in SAP Landscape Optimization Using Cloud-Based Architectures, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 2, pp.579-590, March-April-2020.

Bhatt, S. (2022). Leveraging AWS tools for high availability and disaster recovery in SAP applications. International Journal of Scientific Research in Science, Engineering and Technology, 9(2), 482–496. https://doi.org/10.32628/IJSRSET2072122

Bhatt, S. (2021). A comprehensive guide to SAP data center migrations: Techniques and case studies. International Journal of Scientific Research in Science, Engineering and Technology, 8(5), 346–358. https://doi.org/10.32628/IJSRSET2310630

Bhatt, S. (2023). Integrating Non-SAP Systems with SAP Environments on AWS: Strategies for Seamless Operations. Journal for Research in Applied Sciences and Biotechnology, 2(6), 292–305. https://doi.org/10.55544/jrasb.2.6.41

Paulraj, B. (2023). Enhancing Data Engineering Frameworks for Scalable Real-Time Marketing Solutions. Integrated Journal for Research in Arts and Humanities, 3(5), 309–315. https://doi.org/10.55544/ijrah.3.5.34

Paulraj, B. (2023). Optimizing telemetry data processing pipelines for large-scale gaming platforms. International Journal of Scientific Research in Science, Engineering and Technology, 9(1), 401. https://doi.org/10.32628/IJSRSET23103132

Paulraj, B. (2022). Building Resilient Data Ingestion Pipelines for Third-Party Vendor Data Integration. Journal for Research in Applied Sciences and Biotechnology, 1(1), 97–104. https://doi.org/10.55544/jrasb.1.1.14

Paulraj, B. (2022). The Role of Data Engineering in Facilitating Ps5 Launch Success: A Case Study. International Journal on Recent and Innovation Trends in Computing and Communication, 10(11), 219–225. https://doi.org/10.17762/ijritcc.v10i11.11145

Balachandar Paulraj. (2021). Implementing Feature and Metric Stores for Machine Learning Models in the Gaming Industry. European Economic Letters (EEL), 11(1). Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1924

Balachandar Paulraj. (2023). Data-Driven Decision Making in Gaming Platforms: Metrics and Strategies. International Journal of Research Radicals in Multidisciplinary Fields, ISSN: 2960-043X, 2(2), 81–93. Retrieved from https://www.researchradicals.com/index.php/rr/article/view/116

Alok Gupta. (2021). Reducing Bias in Predictive Models Serving Analytics Users: Novel Approaches and their Implications. International Journal on Recent and Innovation Trends in Computing and Communication, 9(11), 23–30. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11108

Gupta, A., Selvaraj, P., Singh, R. K., Vaidya, H., & Nayani, A. R. (2022). The Role of Managed ETL Platforms in Reducing Data Integration Time and Improving User Satisfaction. Journal for Research in Applied Sciences and Biotechnology, 1(1), 83–92. https://doi.org/10.55544/jrasb.1.1.12

Selvaraj, P. . (2022). Library Management System Integrating Servlets and Applets Using SQL Library Management System Integrating Servlets and Applets Using SQL database. International Journal on Recent and Innovation Trends in Computing and Communication, 10(4), 82–89. https://doi.org/10.17762/ijritcc.v10i4.11109

Vaidya, H., Nayani, A. R., Gupta, A., Selvaraj, P., & Singh, R. K. (2020). Effectiveness and future trends of cloud computing platforms. Tuijin Jishu/Journal of Propulsion Technology, 41(3). https://doi.org/10.52783/tjjpt.v45.i03.7820

Harsh Vaidya, Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj, & Ravi Kumar Singh. (2023). Using OOP Concepts for the Development of a Web-Based Online Bookstore System with a Real-Time Database. International Journal for Research Publication and Seminar, 14(5), 253–274. https://doi.org/10.36676/jrps.v14.i5.1502

Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj, Ravi Kumar Singh, & Harsh Vaidya. (2019). Search and Recommendation Procedure with the Help of Artificial Intelligence. International Journal for Research Publication and Seminar, 10(4), 148–166. https://doi.org/10.36676/jrps.v10.i4.1503

Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj, Ravi Kumar Singh, Harsh Vaidya. (2023). Online Bank Management System in Eclipse IDE: A Comprehensive Technical Study. European Economic Letters (EEL), 13(3), 2095–2113. Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1874

Sagar Shukla. (2021). Integrating Data Analytics Platforms with Machine Learning Workflows: Enhancing Predictive Capability and Revenue Growth. International Journal on Recent and Innovation Trends in Computing and Communication, 9(12), 63–74. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11119

Sneha Aravind. (2021). Integrating REST APIs in Single Page Applications using Angular and TypeScript. International Journal of Intelligent Systems and Applications in Engineering, 9(2), 81 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6829

Sachin Bhatt , " A Comprehensive Guide to SAP Data Center Migrations: Techniques and Case Studies, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 5, pp.346-358, September-October-2021. Available at doi : https://doi.org/10.32628/IJSRSET2310630

Bhatt, S. (2021). A comprehensive guide to SAP data center migrations: Techniques and case studies. International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), 8(5), 346–358. https://doi.org/10.32628/IJSRSET2310630

Bhatt, S. (2023). Implementing SAP S/4HANA on AWS: Challenges and solutions for large enterprises. International Journal of Computer Science and Mobile Computing, 12(10), 71–88.

Rinkesh Gajera , "Leveraging Procore for Improved Collaboration and Communication in Multi-Stakeholder Construction Projects", International Journal of Scientific Research in Civil Engineering (IJSRCE), ISSN : 2456-6667, Volume 3, Issue 3, pp.47-51, May-June.2019

Rinkesh Gajera , "Integrating Power Bi with Project Control Systems: Enhancing Real-Time Cost Tracking and Visualization in Construction", International Journal of Scientific Research in Civil Engineering (IJSRCE), ISSN : 2456-6667, Volume 7, Issue 5, pp.154-160, September-October.2023

URL : https://ijsrce.com/IJSRCE123761

Rinkesh Gajera, 2023. Developing a Hybrid Approach: Combining Traditional and Agile Project Management Methodologies in Construction Using Modern Software Tools, ESP Journal of Engineering & Technology Advancements 3(3): 78-83.

Gajera, R. (2023). Evaluating the effectiveness of earned value management (EVM) implementation using integrated project control software suites. Journal of Computational Analysis and Applications, 31(4), 654-658.

Saoji, R., Nuguri, S., Shiva, K., Etikani, P., & Bhaskar, V. V. S. R. (2019). Secure federated learning framework for distributed AI model training in cloud environments. International Journal of Open Publication and Exploration (IJOPE), 7(1), 31. Available online at https://ijope.com.

Savita Nuguri, Rahul Saoji, Krishnateja Shiva, Pradeep Etikani, & Vijaya Venkata Sri Rama Bhaskar. (2021). OPTIMIZING AI MODEL DEPLOYMENT IN CLOUD ENVIRONMENTS: CHALLENGES AND SOLUTIONS. International Journal for Research Publication and Seminar, 12(2), 159–168. https://doi.org/10.36676/jrps.v12.i2.1461

Kaur, J., Choppadandi, A., Chenchala, P. K., Nuguri, S., & Saoji, R. (2022). Machine learning-driven IoT systems for precision agriculture: Enhancing decision-making and efficiency. Webology, 19(6), 2158. Retrieved from http://www.webology.org.

Lohith Paripati, Varun Nakra, Pandi Kirupa Gopalakrishna Pandian, Rahul Saoji, Bhanu Devaguptapu. (2023). Exploring the Potential of Learning in Credit Scoring Models for Alternative Lending Platforms. European Economic Letters (EEL), 13(4), 1331–1241. https://doi.org/10.52783/eel.v13i4.179.

Etikani, P., Bhaskar, V. V. S. R., Nuguri, S., Saoji, R., & Shiva, K. (2023). Automating machine learning workflows with cloud-based pipelines. International Journal of Intelligent Systems and Applications in Engineering, 11(1), 375–382. https://doi.org/10.48047/ijisae.2023.11.1.37

Etikani, P., Bhaskar, V. V. S. R., Palavesh, S., Saoji, R., & Shiva, K. (2023). AI-powered algorithmic trading strategies in the stock market. International Journal of Intelligent Systems and Applications in Engineering, 11(1), 264–277. https://doi.org/10.1234/ijsdip.org_2023-Volume-11-Issue-1_Page_264-277.

Saoji, R., Nuguri, S., Shiva, K., Etikani, P., & Bhaskar, V. V. S. R. (2021). Adaptive AI-based deep learning models for dynamic control in software-defined networks. International Journal of Electrical and Electronics Engineering (IJEEE), 10(1), 89–100. ISSN (P): 2278–9944; ISSN (E): 2278–9952

Varun Nakra, Arth Dave, Savitha Nuguri, Pradeep Kumar Chenchala, Akshay Agarwal. (2023). Robo-Advisors in Wealth Management: Exploring the Role of AI and ML in Financial Planning. European Economic Letters (EEL), 13(5), 2028–2039. Retrieved from https://www.eelet.org.uk/index.php/journal/article/view/1514.

Chinta, U., & Goel, P. (2022). Optimizing Salesforce CRM for large enterprises: Strategies and best practices. International Journal of Creative Research Thoughts (IJCRT), 9(5), 282. https://doi.org/10.36676/irt

Mahadik, S., Chinta, U., Bhimanapati, V. B. R., Goel, P., & Jain, A. (2023). Product roadmap planning in dynamic markets. Innovative Research Thoughts, 9(5), 282. https://doi.org/10.36676/irt

Chinta, U., Aggarwal, A., & Jain, S. (2020). Risk management strategies in Salesforce project delivery: A case study approach. Innovative Research Thoughts, 7(3).

Voola, P. K., Chinta, U., Bhimanapati, V. B. R., Goel, O., & Goel, D. P. (2022). AI-powered chatbots in clinical trials: Enhancing patient-clinician interaction and decision-making. SSRN. https://doi.org/ssrn.4984949

Voola, P. K., & Chinta, U. (2022). AI-powered chatbots in clinical trials: Enhancing patient-clinician interaction and decision-making. International Journal for Research Publication & Seminar, 13(5), 323.

Chinta, U., Goel, O., & Jain, S. (2023). Enhancing platform health: Techniques for maintaining optimizer, event, security, and system stability in Salesforce. International Journal for Research Publication & Seminar, 14(4).

Agarwal, N., Chinta, U., Bhimanapati, V. B. R., & Jain, S. (2023). EEG-based focus estimation model for wearable devices. Journal of Neuroscience Research, 1(2), 102–114.

Arulkumaran, R., Khatri, D. K., Bhimanapati, V., Goel, L., & Goel, O. (2023). Predictive Analytics in Industrial Processes Using LSTM Networks. Shodh Sagar® Universal Research Reports, 10 (4): 512. https://doi.org/10.36676/urr.v10.i4.13, 61.

Bhimanapati, V., Chhapola, A., & Jain, S. (2023). Automation strategies for web and mobile applications in media domains. International Journal for Research Publication & Seminar, 14 (5), 225. https://doi.org/10.36676/jrps.v14.i5 (Vol. 1479).

Bhimanapati, V., Jain, S., & Goel, O. (2023). Cloud-based solutions for video streaming and big data testing. Universal Research Reports, 10 (4), 329. Shodh Sagar.

Arulkumaran, R., Khatri, D. K., Bhimanapati, V., Aggarwal, A., & Gupta, V. (2023). AI-Driven Optimization of Proof-of-Stake Blockchain Validators. Innovative Research Thoughts, 9 (5): 315. doi: https://doi.org/10.36676/irt.v9.i5, 1490.

Bhimanapati, V., Goel, O., & Garg, D. M. Enhancing Video Streaming Quality through Multi-Device Testing. International Journal of Creative Research Thoughts (IJCRT), ISSN: 2320, 2882, f555-f572.

Mahadik, S., Khatri, D. K., Bhimanapati, V., Goel, L., & Jain, A. (2022). The role of data analysis in enhancing product features. International Journal of Computer Science and Engineering (IJCSE), 11(2), 91–108. https://doi.org/10.

Agrawal, S., Khatri, D., Bhimanapati, V., Goel, O., & Jain, A. (2022). Optimization Techniques in Supply Chain Planning for Consumer Electronics. International Journal for Research Publication & Seminar (Vol. 13, No. 5, p. 356).

Bhimanapati, V., Goel, O., & Pandian, P. K. G. (2022). Implementing agile methodologies in QA for media and telecommunications. Innovative Research Thoughts, 8 (2), 1454.

Bhimanapati, V. B. R., Renuka, A., & Goel, P. (2021). Effective use of AI-driven third-party frameworks in mobile apps. Innovative Research Thoughts, 7 (2).