International Peer-Reviewed JournalOpen AccessISSN 2456-8880
irejournals@gmail.com+91-7433024337

Home / Current Issue / Paper 1702309

1702309 Vol 3 · Issue 11 Download Paper

Semantic Search Leveraging Product Knowledge Graphs for Financial Products in Web 2.0 Ecosystems

Martin Louis

Subject area: Science,Engineering and Technology  ·  Area of research: Semantic Searc

Abstract

This article focuses on the intersection of semantic search with product knowledge graphs for accelerating and improving the identification and interpretation of financial products for Web 2.0 environments. To this end, the study aims to review and establish the current state of the art of semantic search technologies, The use of knowledge graphs in Financial services, and Web 2.0 opportunities and challenges. This article develops arguments supported by theories and practices and educates the reader on the benefits of semantic search in enhancing user experience, data accuracy, and operational efficiency. The identified results show that further development of advanced semantic technologies is mandatory to satisfy new requirements for the financial services industry.

Keywords

Semantic Search, Knowledge Graphs, Financial Products, Web 2.0, Data Accuracy, User Experience

References

[1] Bersin & Associates. (2004). Learning Management Systems 2004: Facts, Practical Analysis, and Trends.

[2] Moodle. (2007). Moodle Course Management System. Retrieved from http://moodle.org/.

[3] IMS Global Learning Consortium. (2007). QTI Public Draft Specification Version 2. Retrieved from http://www.imsproject.org/question/.

[4] Sakai Project. (2007). Sakai: Collaboration and Learning Environment for Education. Retrieved from http://sakaiproject.org/.

[5] Advanced Distributed Learning. (2007). SCORM 2004 3rd Edition Documentation. Retrieved from http://www.adlnet.gov/.

[6] Costagliola, G., Ferrucci, F., & Fuccella, V. (2007). A web-based e-testing system supporting test quality improvement. In Proceedings of the 6th International Conference on Web-based Learning (pp. 190–197).

[7] Gierłowski, K., & Gierszewski, T. (2004). Analysis of network infrastructure and QoS requirements for modern remote learning systems. In Proceedings of the 15th International Conference on Systems Science.

[8] Gierłowski, K., Gierszewski, T., & Nowicki, K. (2005). Architecture and implementation of faculty-operated knowledge testing system [in Polish]. Scientific Notes of ETI Faculty, 7, 512–522.

[9] Gierłowski, K., Gierszewski, T., & Nowicki, K. (2007). Design and development of LMS module dedicated to knowledge assessment tasks [in Polish]. In Theory and Practice of E-Learning. SGGW-Warsaw.

[10] Gierłowski, K., & Nowicki, K. (2002). Simulation of network systems in education. In Proceedings of the XXIVth Autumn International Colloquium Advanced Simulation of Systems (pp. 213–218).

[11] Gierłowski, K., & Nowicki, K. (2004). Implementation of didactic simulation tools in computer-based instruction systems compliant with SCORM 2004 standard [in Polish]. In Proceedings of the 4th Conference Virtual University. Warsaw.

[12] Gierłowski, K., & Nowicki, K. (2004). Internet technologies in e-learning systems [in Polish]. Scientific Notes of ETI Faculty, 4, 635–644.

[13] Gierłowski, K., Nowicki, K., & Uhl, T. (2003). Didaktische simulationsmodelle für e-learning in der IK-ausbildung. In 7th Workshop Multimedia für Bildung und Wirtschaft.

[14] Google. (2007). Google Search Engine. Retrieved from http://www.google.com/.

[15] Jesukiewicz, P., Slosser, S., & Xiangen, H. (2006). ADL Initiative Status and ADL Co-Lab Network 2006. ADL Library.

[16] Kindley, R. (2002). The power of simulation-based e-learning. The e-Learning Developers’ Journal

[17] Nowicki, K., & Gierłowski, K. (2002). Didactic model of LAN/WAN inter-connection [in Polish]. In Proceedings of the 10th Conference: Computer Networks and Systems. Lodz.

[18] Nowicki, K., & Gierłowski, K. (2004). Implementation of didactic simulation models in open-source and SCORM-compliant LMS systems. In Proceedings of the XXVIth International Autumn Colloquium, Advanced Simulation of Systems (pp. 161–166). Ostrava.

[19] Nowicki, K., & Gierłowski, K. (2004). New technologies in modern remote learning systems [in Polish]. In Proceedings of the 10th Symposium of Telecommunication (pp. 36–46). Bydgoszcz.

[20] Nowicki, K., Gierszewski, T., & Gierłowski, K. (2005). Limitations of e-learning solutions based on Internet protocols [in Polish]. In Proceedings of the 5th Conference Virtual University. Warsaw.

[21] Chandrashekar, K., & Jangampet, V. D. (2019). HONEYPOTS AS A PROACTIVE DEFENSE: A COMPARATIVE ANALYSIS WITH TRADITIONAL ANOMALY DETECTION IN MODERN CYBERSECURITY. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY (IJCET), 10(5), 211-221.

[22] Chandrashekar, K., & Jangampet, V. D. (2020). RISK-BASED ALERTING IN SIEM ENTERPRISE SECURITY: ENHANCING ATTACK SCENARIO MONITORING THROUGH ADAPTIVE RISK SCORING. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY (IJCET), 11(2), 75-85.

How to cite this paper

Martin Louis "Semantic Search Leveraging Product Knowledge Graphs for Financial Products in Web 2.0 Ecosystems" Iconic Research And Engineering Journals Volume 3 Issue 11 2020 Page 352-364
Martin Louis "Semantic Search Leveraging Product Knowledge Graphs for Financial Products in Web 2.0 Ecosystems" Iconic Research And Engineering Journals, vol. 3, no. 11, May. 2020
Martin Louis (2020). Semantic Search Leveraging Product Knowledge Graphs for Financial Products in Web 2.0 Ecosystems. Iconic Research And Engineering Journals, 3(11).
Martin Louis "Semantic Search Leveraging Product Knowledge Graphs for Financial Products in Web 2.0 Ecosystems" Iconic Research And Engineering Journals, vol. 3, no. 11, May. 2020.
@article{1702309,
      author = {Martin Louis},
      title = {Semantic Search Leveraging Product Knowledge Graphs for Financial Products in Web 2.0 Ecosystems},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {11},
      pages = {352-364},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702309.pdf},
      abstract = {This article focuses on the intersection of semantic search with product knowledge graphs for accelerating and improving the identification and interpretation of financial products for Web 2.0 environments. To this end, the study aims to review and establish the current state of the art of semantic search technologies, The use of knowledge graphs in Financial services, and Web 2.0 opportunities and challenges. This article develops arguments supported by theories and practices and educates the reader on the benefits of semantic search in enhancing user experience, data accuracy, and operational efficiency. The identified results show that further development of advanced semantic technologies is mandatory to satisfy new requirements for the financial services industry.},
      keywords = {Semantic Search, Knowledge Graphs, Financial Products, Web 2.0, Data Accuracy, User Experience},
      month = {May},
  }