امینزاده، فرشید (1397). جستجوی معنایی چیست و چه تأثیری روی سئوسایت دارد؟. مجله ویستا، بازیابی در 22 مهر 1396 از طریق نشانی
https://mimos.ir/blog/semantic-search-guide/.
شریفی، شهرزاد؛ شعبانزاد، مریم؛ فیاض، سیما (1390). نقش وب معنایی در بازیابی اطلاعات. فصلنامه دانششناسی، 3(12)، 52-41.
فراهانچی، محسن (1399). جستجوی معنایی در متون تفسیری قرآن کریم با استفاده از ابهامزدایی معنای واژگان در بستر جستجوی متّسع. پیشنهاده کارشناسی ارشد، دانشگاه شهید بهشتی، پژوهشکده اعجاز قرآن، تهران.
کمالی، مجید (1397).
موتور جستجوی معنایی تصاویر بر پایه الگوریتم زیفت. پایاننامه کارشناسی ارشد، دانشگاه رجا، قزوین.
نوروزی، یوسف (1398). ارائه یک موتور جستجوی مکانی ـ معنایی برای یافتن رویداد (مطالعه موردی: رویدادهای فرهنگی). پایاننامه کارشناسی ارشد، دانشگاه تهران، دانشکده علوم مهندسی، تهران.
References
Aminzadeh, F. (1397). What is semantic search and what does effect it hase on SEO?.
JournaL Of Vista, Retrival in 22 October via the address
https://mimos.ir/blog/semantic-search-guide/. (in Persian)
Armitage, L., & Enser, P. (1997). Analysis of user need in image archives. Journal
of Information Sciences, 23.287–299 .
Arora, S., Liang, Y., & Ma, T. (2017). A simple but tough-to-beat baseline for sentence embeddings.
5th International Conference on Learning Representations.
Arora, P., & Vikas, O. (2012). Semantic Searching and Ranking of Documents using Hybrid Learning System and WordNet. International Journal of Advanced Computer Science and Applications, 3(6), 113-120.
Beirade, F., Azzoune, H., & Zegour, D. (2021). Semantic query for Quranic ontology. Journal of King Saud University Computer and Information Sciences, 33(6), 753-760.
Bhavani, R., Prakash, V., & Chitra, K. (2021). A Sly Salvage of Semantic Web Content with Insistence of Low Precision and Low Recall.
Wireless Personal Communications, 117, 2757-2780.
Bing, L., Jiang, S., Lam, W., Zhang, Y., & Jameel, S. (2015).
Adaptive concept resolution for document representation and its applications in text mining.
Knowledge-Based Systems, 74(1), 1-13.
Das, A., &
Saha, D. (2019). A Novel Approach to Enhance the Performance of Semantic Search in Bengali using Neural Net and other Classification Techniques.
8th international Conference on Semantic Searching. Retrieved July 1, 2019 via address:
https://arxiv.org/ftp/arxiv/papers/1911/1911.01256.pdf.
Deerwester, S., Dumais, S., Landauer, T., Furnas, G., & Harshman, R. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science and Technology, 41(6), 391.
Ding, C. (2005). A probabilistic model for Latent Semantic Indexing.
Journal of the American Society for Information Science and Technology, 56(6), 597-608.
Egozi, O., Markovitch., S., & Gabrilovich, E. (2011). Concept-Based Information Retrieval Using Explicit Semantic Analysis. ACM Transactions on Information Systems, 29(2), 8-34.
Enser, P. (1995). Pictorial information retrieval. Journal of Documentation, 51(2),
126–170.
Farahanchi, M. (2020). Semantic search in the explanatory texts of the Holy Qur'an by using the disambiguation of the meaning of words in the context of extensive search. Master's proposal, Shahid Beheshti university, Ijaz Qur'an Research Institute, Tehran.
Fatima, A., Luca, C.,
& Wilson, G. (2014). New Framework for Semantic Search Engine.
16th International Conference on Computer Modelling and Simulation, UKSIM,2014.
Fritz, M. (2019) .The 5 Key Components of a Semantic Search Experience.
6th international Conference on Semantic Searching. Retrieved 13 November, 2019 via address:
https://enterprise-knowledge.com/the-5-key-components-of-a-semantic-search-experience/.
Fu, Z., Huang, F., Sun, X.,Vasilakos, A., & Yang, C. (2019). Enabling Semantic Search Based on Conceptual Graphs over Encrypted Outsourced Data. IEEE Transactions on Services Computing, 12(5), 813-823.
Guha, R., McCool, R
., & Miller, E. (2003).
Semantic Search. WWW '03: Proceedings of the 12th international conference on World Wide Web. Retrieved 8 April, 2011 via address: https://dl.acm.org/doi/10.1145/775152.775250
Henry, S., Cuffy, C., & TMcInnes, B. (2018). Vector representations of multi-word terms for semantic relatedness. Journal of Biomedical Informatics, 77(1), 111-119.
Kamali, M. (2018). Semantic search engine of image based on Zift algorithm. Master thesis, Raja university, Ghazvin.
Kim, H., Kim, H., & Cho, S. (2017). Bag-of-concepts: Comprehending document representation through clustering words in distributed representation. Neurocomputing, 266(2), 336-352.
Koopman, B. (2014). Semantic Search as Inference: Applications in Health Informatics. PH.D Thesis, University of Technology, Queensland.
KumariTankala, D., & Boddu, V. (2016). A Novel Approach to Semantic Search for
Accurate Source Code. International Journal of Advanced Research in Computer and Communication Engineering, 5(3), 723-728.
Landauer, T., & Dumais, S. (1997). A solution to Plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological Review, 104(2), 211–240.
Lee , D.,
Kwon, J.,
Yang, S., &
Lee, S. (2007). Improvement of the Recall and the Precision for Semantic Web Services Search.
6th IEEE/ACIS International Conference on Computer and Information Science, (ICIS). Retrieved 3 October, 2011 via address:
https://ieeexplore.ieee.org/document/4276474.
Lowry, E. (2021).
Understanding the Concept of Semantic Search. 3th international Conference on Semantic Searching. Retrieved 11 December, 2020 via Address:
https://www.linkedin.com/pulse/understanding-concept-semantic-search-elise-lowry/?trk=pulse-article_more-articles_related-content-card.
Jiang, L.,Yu, S., Meng, D., Mitamura, T., & Hauptmann, A. (2015). Bridging the ultimate semantic gap: a semantic search engine for internet videos. ICMR '15: proceedings of the 5th ACM on international conference on multimedia retrieval. Retrieved 9 December, 2017 via Address https://dl.acm.org/doi/10.1145/2671188.2749399.
Malve, A., & Chawan, P. (2015). A Comparative Study of Keyword and Semantic based Search Engine. International Journal of Innovative Research in Science, Engineering and Technology, 4(11), 11156-11161.
Mika, P., Meij, E., & Zaragoza, H. (2009). Investigating the semantic gapthrough query log analysis.
8th International semantic web conference, ISWC. Retrieved 10 March, 2011 via Address:
https://www.researchgate.net/emantic_Gap_through_Query_Log_Analysis.
Mochol, M.,Wache, H., & Nixon, L. (2007). Improving the Accuracy of Job Search with Semantic Techniques. Business Information Systems,
10th International Conference. Retrieved 1 July, 2009 via Address:
https://www.researchgate.net/Improving_the_Accuracy_of_Job_.
Nasraoui, O., &
Zhuhadar, L. (2010). Improving Recall and Precision of a Personalized Semantic Search Engine for E-learning.
Fourth International Conference on Digital Society. Retrieved 10 October 2010 via address:
https://ieeexplore.ieee.org/document/5432794.
Ning, X., Hai, J., & Hao, W. (2008). RSS: A Framework Enabling Ranked Search on the Semantic Web Xiaomin Ning. Information Processing & Management, 44(2), 893-909.
Noroozi, Y. (1398). Providing a Spatial-Semantic Search engine to find events (Case study: Cultural events). Master's thesis, Tehran university, Faculty of Engineering Sciences, Tehran.
Ornager, S. (1997). Image retrieval: Theoretical analysis and empirical user studies on accessing
information in images. Proceedings of the 60th ASIS Annual Meeting, 34(1), 202-211.
Paiva, S.,
RamosCabrer, M.,
GilSolla, A.,
FernandezVilas, A., &
DiazRedondo, R. (2011). Precision: A guided-based system for semantic validation and personalized natural language generation of queries.
IEEE International Conference on Consumer Electronics (ICCE). Retrieved 1 April 2012 via address:
https://ieeexplore.ieee.org/document/5722707.
Rashid, J., & WasifNisar, M. (2016). A Study on Semantic Searching, Semantic Search Engines and Technologies Used for Semantic Search Engines. International Journal of Information Technology & Computer Science, 8(10), 82-89.
Reichert, M.,
Linckels, S.,
Meinel, C., &
Engel, T. (2005). Student's Perception of a Semantic Search Engine.
Conference of Cognition and Exploratory Learning in Digital Age. Retrieved July 1, 2020 via address:
https://www.researchgate.net/publication/220969791_Engine.
Sharifi, S., Shabanzad, M., & Fayyaz, S. (2011). The role of the Semantic Web in information retrieval. Quarterly of Daneshshenasi, 3(12), 41-52.
Sinha, U., & Dubey, V. (2020). The Technique of Different Semantic Search
Engines. International Journal of Recent Technology and Engineering (IJRTE), 9(1),1496-1501.
Soper, E.,
Hosier, J.,
Bales, D., &
Gurbani,V. (2021). Semantic Search Pipeline: From Query Expansion to Concept Forging.
IEEE 37th International Conference on Data Engineering (ICDE). Retrieved March 13, 2021 via address:
https://ieeexplore.ieee.org/9458686/authors.
Spasić, I.,
Corcoran, P.,
Gagarin, A., &
Buerki, A. (2018). Head to Head: Semantic Similarity of Multi–Word Terms.
IEEE Access: The Multidisciplinary Open Access Journal, 6(1), 20545-20557.
Sweeney, P. (2016). The History of the semantic web is the future of intelligent assistants.
4th International Conference on Semantic Searching. Retrieved 10 November, 2020 via address:
https://www.explainablestartup.com/2016/08/.
Tankala, D., & Boddu, V. (2016). A novel approach to semantic search for accurate source code. International Journal of Advanced Research in Computer and Communication Engineering, 5(3), 723-728.
Tӓckstrӧm, O. (2005). An Evaluation of Bag-of-Concepts Representations in Automatic Text Classification. Master’s Thesis, KTH Royal Institute of Technology, Stockholm.
Tomassen, S., & Strasunskas, D. (2009). Semantic-Linguistic feature vectors for search: unsupervised construction and experimental validation.
The semantic web: proceedings of the fourth Asian Conference, ASWC.
Tyagi, S. (2018).
The Benefits of Semantic Search in Recruiting.
3th International Conference on Semantic Searching. Retrieved May 10, 2021 via address:
https://www.naukrirms.com/blog/the-benefits-of-semantic-search-in-recruiting.
Wang, F.,
Wang, Z., Li, Z., & Wen, J. (2014). Concept-based Short Text Classification and Ranking.
Proceedings of the 23rd ACM International Conference on Information and Knowledge Management, 1069-1078.
Wang, Z., Fu, Z., & Sun, X. (2018). Intrusion Detection and Prevention in Cloud, Fog, and Internet of Things. Security and Communication Networks,16(1),1-10.
Yang, W., Sun, B., Zhu, Y., & Wu, D. (2021). A secure heuristic semantic searching scheme with blockchain-based verification. Management, 58(4).
Yu,
L. (2014).
A Developer’s Guide to the Semantic Web. 2nd ed. Heidelberg; New York: Springer.
Yusuf, N., Yunus, M., & Wahid, N. (2020). Query Expansion for Quran French Text Retrieval Using Semantic Search. Journal of Soft Computing and Data Mining, 1(2), 26-30.
Zhang, J.,
Yu, X.,
Liu, P., &
Wang, Z. (2009).
Research on Improving Performance of Semantic Search in UDDI.
2009 WRI Global Congress on Intelligent Systems.