{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T17:59:18Z","timestamp":1770141558513,"version":"3.49.0"},"reference-count":138,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,7,4]],"date-time":"2022-07-04T00:00:00Z","timestamp":1656892800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"WordLiftNG within the Eureka, Eurostars Programme","award":["877857"],"award-info":[{"award-number":["877857"]}]},{"name":"WordLiftNG within the Eureka, Eurostars Programme","award":["AB 292"],"award-info":[{"award-number":["AB 292"]}]},{"name":"KI-Net within the Interreg \u00d6sterreich-Bayern 2014-2020 programme","award":["877857"],"award-info":[{"award-number":["877857"]}]},{"name":"KI-Net within the Interreg \u00d6sterreich-Bayern 2014-2020 programme","award":["AB 292"],"award-info":[{"award-number":["AB 292"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Search on the web, specifically fetching of the relevant content, has been paid attention to since the advent of the web and particularly in recent years due to the tremendous growth in the volume of data and web pages. This paper categorizes the search services from the early days of the web to the present into keyword search engines, semantic search engines, question answering systems, dialogue systems and chatbots. As the first generation of search engines, keyword search engines have adopted keyword-based techniques to find the web pages containing the query keywords and ranking search results. In contrast, semantic search engines try to find meaningful and accurate results on the meaning and relations of things. Question-answering systems aim to find precise answers to natural language questions rather than returning a ranked list of relevant sources. As a subset of question answering systems, dialogue systems target to interact with human users through a dialog expressed in natural language. As a subset of dialogue systems, chatbots try to simulate human-like conversations. The paper provides an overview of the typical aspects of the studied search services, including process models, data preparation and presentation, common methodologies and categories.<\/jats:p>","DOI":"10.3390\/info13070324","type":"journal-article","created":{"date-parts":[[2022,7,4]],"date-time":"2022-07-04T11:15:05Z","timestamp":1656933305000},"page":"324","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Interactive Search on the Web: The Story So Far"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0511-095X","authenticated-orcid":false,"given":"Sareh","family":"Aghaei","sequence":"first","affiliation":[{"name":"Department of Computer Science, Semantic Technology Institute (STI), University of Innsbruck, 6020 Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin","family":"Angele","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Semantic Technology Institute (STI), University of Innsbruck, 6020 Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2410-4977","authenticated-orcid":false,"given":"Elwin","family":"Huaman","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Semantic Technology Institute (STI), University of Innsbruck, 6020 Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Geni","family":"Bushati","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Semantic Technology Institute (STI), University of Innsbruck, 6020 Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mathias","family":"Schiestl","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Semantic Technology Institute (STI), University of Innsbruck, 6020 Innsbruck, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1391-7104","authenticated-orcid":false,"given":"Anna","family":"Fensel","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Semantic Technology Institute (STI), University of Innsbruck, 6020 Innsbruck, Austria"},{"name":"Wageningen Data Competence Center, Wageningen University and Research, 6708 PB Wageningen, The Netherlands"},{"name":"Consumption and Healthy Lifestyles, Wageningen University and Research, 6706 KN Wageningen, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,4]]},"reference":[{"key":"ref_1","unstructured":"(2022, June 20). Summary of 2019 Gartner IIoT Platform Report. Available online: https:\/\/medium.com\/world-of-iot\/96-summary-of-2019-gartner-iiot-platform-report-9d7f41f53a4e."},{"key":"ref_2","unstructured":"(2022, June 20). Internet of Things: Key Stats for 2022. Available online: https:\/\/techinformed.com\/internet-of-things-key-stats-for-2022\/."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Sheela, S., and kumar, J. (2019, January 14\u201315). Comparative study of syntactic search engine and semantic search engine: A survey. Proceedings of the 2019 Fifth International Conference on Science Technology Engineering and Mathematics, Chennai, India.","DOI":"10.1109\/ICONSTEM.2019.8918837"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Strzelecki, A. (2020). Eye-tracking studies of web search engines: A systematic literature review. Information, 11.","DOI":"10.3390\/info11060300"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Marin\u00e9-Roig, E. (2017). Measuring destination image through travel reviews in search engines. Sustainability, 9.","DOI":"10.3390\/su9081425"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1145\/792550.792552","article-title":"A taxonomy of web search","volume":"Volume 36","author":"Broder","year":"2002","journal-title":"Proceedings of the ACM Sigir Forum"},{"key":"ref_7","unstructured":"Fu, B., Qiu, Y., Tang, C., Li, Y., Yu, H., and Sun, J. (2020). A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges. arXiv."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Chen, H., Liu, X., Yin, D., and Tang, J. (2017). A Survey on Dialogue Systems: Recent Advances and New Frontiers. arXiv.","DOI":"10.1145\/3166054.3166058"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Hussain, S., Sianaki, O.A., and Ababneh, N. (2019, January 27\u201329). A survey on conversational agents\/chatbots classification and design techniques. Proceedings of the Workshops of the International Conference on Advanced Information Networking and Applications, Matsue, Japan.","DOI":"10.1007\/978-3-030-15035-8_93"},{"key":"ref_10","unstructured":"Jurafsky, D., and Martin, J. (2008). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Prentice Hall."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Gupta, V. (2007, January 18\u201320). A keyword searching algorithm for search engines. Proceedings of the 2007 Innovations in Information Technologies, Dubai, United Arab Emirates.","DOI":"10.1109\/IIT.2007.4430467"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Stokoe, C. (2005, January 6\u20138). Differentiating homonymy and polysemy in information retrieval. Proceedings of the Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, Vancouver, BC, Canada.","DOI":"10.3115\/1220575.1220626"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5121\/ijwest.2012.3101","article-title":"Evolution of the world wide web: From web 1.0 to web 4.0","volume":"3","author":"Aghaei","year":"2012","journal-title":"Int. J. Web Semant. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"717","DOI":"10.13052\/jwe1540-9589.1785","article-title":"A Review of Question Answering Systems","volume":"17","author":"Ojokoh","year":"2019","journal-title":"J. Web Eng."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1007\/s11280-011-0139-z","article-title":"Special issue on querying the data web","volume":"14","author":"Ceravolo","year":"2011","journal-title":"World Wide Web"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1017\/S0269888907001233","article-title":"The usability of semantic search tools: A review","volume":"22","author":"Uren","year":"2007","journal-title":"Knowl. Eng. Rev."},{"key":"ref_17","unstructured":"Allam, A.M.N., and Haggag, M.H. (2012). The question answering systems: A survey. Int. J. Res. Rev. Inf. Sci., 2."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"421","DOI":"10.3233\/SW-190343","article-title":"Towards a question answering system over the semantic web","volume":"11","author":"Diefenbach","year":"2020","journal-title":"Semant. Web"},{"key":"ref_19","unstructured":"Arora, S., Batra, K., and Singh, S. (2013). Dialogue System: A Brief Review. arXiv."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Chiba, Y., Nose, T., Kase, T., Yamanaka, M., and Ito, A. (2018, January 12\u201314). An analysis of the effect of emotional speech synthesis on non-task-oriented dialogue system. Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue, Melbourne, Australia.","DOI":"10.18653\/v1\/W18-5044"},{"key":"ref_21","unstructured":"Simsek, U., Umbrich, J., and Fensel, D. (2020, January 20\u201321). Towards a Knowledge Graph Lifecycle: A pipeline for the population of a commercial Knowledge Graph. Proceedings of the Qurator, Berlin, Germany."},{"key":"ref_22","first-page":"47","article-title":"History of search engines","volume":"15","author":"Seymour","year":"2011","journal-title":"Int. J. Manag. Inf. Syst."},{"key":"ref_23","first-page":"87","article-title":"Evaluating the searching capabilities of search engines and metasearch engines: A comparative study","volume":"57","author":"Pavithra","year":"2010","journal-title":"Ann. Libr. Inf. Stud."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1145\/505282.505284","article-title":"Building efficient and effective metasearch engines","volume":"34","author":"Meng","year":"2002","journal-title":"ACM Comput. Surv."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Peters, R., and Sikorski, R. (1997). Metacrawler. Science, 277.","DOI":"10.1001\/jama.1997.03540360027013"},{"key":"ref_26","unstructured":"Sadeh, T. (2006). Google Scholar versus metasearch systems. High Energy Phys. Libr. Webzine, 12."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1561\/1500000010","article-title":"Federated search","volume":"5","author":"Shokouhi","year":"2011","journal-title":"Found. Trends Inf. Retr."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1002\/asi.23201","article-title":"Data mining from web search queries: A comparison of google trends and baidu index","volume":"66","author":"Vaughan","year":"2015","journal-title":"J. Assoc. Inf. Sci. Technol."},{"key":"ref_29","first-page":"1","article-title":"Search Engines Going beyond Keyword Search: A Survey","volume":"75","author":"Rahman","year":"2013","journal-title":"Int. J. Comput. Appl."},{"key":"ref_30","first-page":"1","article-title":"Survey on Web Page Ranking Algorithms","volume":"41","author":"Selvan","year":"2012","journal-title":"Int. J. Comput. Appl."},{"key":"ref_31","unstructured":"Page, L., Brin, S., Motwani, R., and Winograd, T. (1999). The PageRank Citation Ranking: Bringing Order to the Web, Stanford InfoLab. Technical Report."},{"key":"ref_32","first-page":"668","article-title":"Authoritative sources in a hyperlinked environment","volume":"98","author":"Kleinberg","year":"1998","journal-title":"Citeseer"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Abou-Assaleh, T., Das, T., Gao, W., Miao, Y., O\u2019Brien, P., and Zhen, Z. (2007, January 8\u201312). A link-based ranking scheme for focused search. Proceedings of the 16th international Conference on World Wide Web, Banff, AB, Canada.","DOI":"10.1145\/1242572.1242727"},{"key":"ref_34","unstructured":"Tokgoz, B., Ozcilnak, Z., Cinar, C., Yalun, M.T., and Bitirim, Y. (2013, January 1\u201315). An evaluation of Turkish retrieval performance of popular search engines for Internet and image search by using common lists. Proceedings of the The Third International Conference on Digital Information and Communication Technology and its Applications, Bangkok, Thailand."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1108\/EL-07-2018-0142","article-title":"Retrieval effectiveness of image search engines","volume":"37","author":"Hussain","year":"2019","journal-title":"Electron. Libr."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"CheshmehSohrabi, M., and Sadati, E.A. (2021). Performance evaluation of web search engines in image retrieval: An experimental study. Inf. Dev.","DOI":"10.1177\/02666669211010211"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Uluc, F., Emirzade, E., and Bitirim, Y. (2007, January 13\u201319). The impact of number of query words on image search engines. Proceedings of the Second International Conference on Internet and Web Applications and Services (ICIW\u201907), Morne, Mauritius.","DOI":"10.1109\/ICIW.2007.61"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"\u00c7akir, E., Bahceci, H., and Bitirim, Y. (July, January 29). An evaluation of major image search engines on various query topics. Proceedings of the 2008 The Third International Conference on Internet Monitoring and Protection, Bucharest, Romania.","DOI":"10.1109\/ICIMP.2008.9"},{"key":"ref_39","first-page":"41","article-title":"Search by image: A novel approach to content based image retrieval system","volume":"14","author":"Adrakatti","year":"2016","journal-title":"Int. J. Libr. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Arora, N., and Govilkar, S. (2016). Survey on different ranking algorithms along with their approaches. Int. J. Comput. Appl., 975.","DOI":"10.5120\/ijca2016908514"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Mughal, M.J.H. (2018). Data Mining: Web Data Mining Techniques, Tools and Algorithms: An Overview. Int. J. Adv. Comput. Sci. Appl., 9.","DOI":"10.14569\/IJACSA.2018.090630"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Duhan, N., Sharma, A.K., and Bhatia, K.K. (2009, January 2\u20135). Page Ranking Algorithms: A Survey. Proceedings of the 2009 IEEE International Advance Computing Conference, San Diego, CA, USA.","DOI":"10.1109\/IADCC.2009.4809246"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1038\/scientificamerican0501-34","article-title":"The semantic web","volume":"284","author":"Hendler","year":"2001","journal-title":"Sci. Am."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Guha, R., McCool, R., and Miller, E. (2003, January 20\u201324). Semantic search. Proceedings of the 12th international conference on World Wide Web, Budapest, Hungary.","DOI":"10.1145\/775152.775250"},{"key":"ref_45","unstructured":"Ilyas, Q.M., Kai, Y.Z., and Talib, A. (2004, January 24\u201326). A conceptual architecture for semantic search engine. Proceedings of the 8th International Multitopic Conference, Lahore, Pakistan."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"5645","DOI":"10.1007\/s11276-019-02029-z","article-title":"LINDASearch: A faceted search system for linked open datasets","volume":"26","year":"2020","journal-title":"Wirel. Net."},{"key":"ref_47","first-page":"210","article-title":"Comparative study of search engines in context of features and semantics","volume":"88","author":"Sahu","year":"2016","journal-title":"J. Theor. Appl. Inf. Technol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"106","DOI":"10.25046\/aj050114","article-title":"Comparative study of semantic and keyword based search engines","volume":"5","author":"Hussan","year":"2020","journal-title":"Adv. Sci. Technol. Eng. Syst. J."},{"key":"ref_49","first-page":"4","article-title":"Comparative study on semantic search engines","volume":"131","author":"Jain","year":"2015","journal-title":"Int. J. Comput. Appl."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Heflin, J., and Hendler, J. (2000, January 30\u201331). Searching the Web with SHOE. Proceedings of the AAAI-2000 Workshop on AI for Web Search, Austin, TX, USA.","DOI":"10.21236\/ADA440405"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Huaman, E., Tauqeer, A., and Fensel, A. (2021, January 22\u201324). Towards Knowledge Graphs Validation Through Weighted Knowledge Sources. Proceedings of the Iberoamerican Knowledge Graphs and Semantic Web Conference, Kingsville, TX, USA.","DOI":"10.1007\/978-3-030-91305-2_4"},{"key":"ref_52","first-page":"73","article-title":"An overview of semantic search engines","volume":"6","author":"Roy","year":"2019","journal-title":"Int. J. Res. Rev."},{"key":"ref_53","unstructured":"Sudeepthi, G., Anuradha, G., and Babu, M.S.P. (2012). A survey on semantic web search engine. Int. J. Comput. Sci. Issues (IJCSI), 9."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Ding, L., Finin, T., Joshi, A., Pan, R., Cost, R.S., Peng, Y., Reddivari, P., Doshi, V., and Sachs, J. (2004, January 8\u201313). Swoogle: A search and metadata engine for the semantic web. Proceedings of the thirteenth ACM International Conference on Information and Knowledge Management, Washington, DC, USA.","DOI":"10.1145\/1031171.1031289"},{"key":"ref_55","unstructured":"Cheng, G., Ge, W., Wu, H., and Qu, Y. (2008, January 22). Searching Semantic Web objects based on class hierarchies. Proceedings of the LDOW2008, Beijing, China."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"d\u2019Aquin, M., Ding, L., and Motta, E. (2011). Semantic web search engines. Handbook of Semantic Web Technologies, Springer.","DOI":"10.1007\/978-3-540-92913-0_16"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Anyanwu, K., Maduko, A., and Sheth, A. (2005, January 10\u201314). Semrank: Ranking complex relationship search results on the semantic web. Proceedings of the 14th International Conference on World Wide Web, Chiba, Japan.","DOI":"10.1145\/1060745.1060766"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"McBride, B. (2004). The resource description framework (RDF) and its vocabulary description language RDFS. Handbook on Ontologies, Springer.","DOI":"10.1007\/978-3-540-24750-0_3"},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Fensel, D., Simsek, U., Angele, K., Huaman, E., K\u00e4rle, E., Panasiuk, O., Toma, I., Umbrich, J., and Wahler, A. (2020). Knowledge Graphs: Methodology, Tools and Selected Use Cases. Knowledge Graphs, Springer.","DOI":"10.1007\/978-3-030-37439-6"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Pan, J., Vetere, G., Gomez-Perez, J.M., and Wu, H. (2017). Exploiting Linked Data and Knowledge Graphs in Large Organisations, Springer.","DOI":"10.1007\/978-3-319-45654-6"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Aghaei, S., and Fensel, A. (2021, January 20\u201321). Finding Similar Entities across Knowledge Graphs. Proceedings of the 7th International Conference on Advances in Computer Science and Information Technology, Vienna, Austria.","DOI":"10.5121\/csit.2021.110301"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Huaman, E., and Fensel, D. (2021, January 6\u20138). Knowledge Graph Curation: A Practical Framework. Proceedings of the 10th International Joint Conference on Knowledge Graphs, virtual event, Thailand.","DOI":"10.1145\/3502223.3502247"},{"key":"ref_63","first-page":"29","article-title":"A survey of semantic keyword search approaches","volume":"2","author":"Sitthisarn","year":"2013","journal-title":"Int. J. Appl. Comput. Technol. Inf. Syst."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.eswa.2016.12.033","article-title":"Efficient indexing for semantic search","volume":"73","author":"Lashkari","year":"2017","journal-title":"Expert Syst. Appl."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.ipm.2013.10.004","article-title":"A review of ranking approaches for semantic search on Web","volume":"50","author":"Jindal","year":"2014","journal-title":"Inf. Process. Manag."},{"key":"ref_66","first-page":"76","article-title":"Search with meanings: An overview of semantic search systems","volume":"3","author":"Wei","year":"2008","journal-title":"Int. J. Commun."},{"key":"ref_67","first-page":"1","article-title":"A short survey on end-to-end simple question answering systems","volume":"53","author":"Venceslau","year":"2020","journal-title":"Artif. Intell. Rev."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"895","DOI":"10.3233\/SW-160247","article-title":"Survey on challenges of question answering in the semantic web","volume":"8","author":"Walter","year":"2017","journal-title":"Semant. Web"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Yani, M., and Krisnadhi, A.A. (2021). Challenges, Techniques, and Trends of Simple Knowledge Graph Question Answering: A Survey. Information, 12.","DOI":"10.3390\/info12070271"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1007\/s10115-017-1100-y","article-title":"Core techniques of question answering systems over knowledge bases: A survey","volume":"55","author":"Diefenbach","year":"2017","journal-title":"Knowl. Inf. Syst."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/s10844-019-00584-7","article-title":"A survey on question answering systems over linked data and documents","volume":"55","author":"Dimitrakis","year":"2019","journal-title":"J. Intell. Inf. Syst."},{"key":"ref_72","first-page":"345","article-title":"A survey on question answering systems with classification","volume":"28","author":"Mishra","year":"2016","journal-title":"J. King Saud Univ. Comput. Inf."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.knosys.2017.09.015","article-title":"A study about the future evaluation of Question-Answering systems","volume":"137","author":"Rodrigo","year":"2017","journal-title":"Knowl. Based Syst."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Wu, P., Zhang, X., and Feng, Z. (2019). A Survey of Question Answering over Knowledge Base. Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding. CCKS 2019, Springer.","DOI":"10.1007\/978-981-15-1956-7_8"},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Aghaei, S., and Fensel, A. (2022, January 5\u20138). Building knowledge subgraphs in question answering over knowledge graphs. Proceedings of the 22nd International Conference on Web Engineering, Bari, Italy.","DOI":"10.1007\/978-3-031-09917-5_16"},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Abbasiyantaeb, Z., and Momtazi, S. (2020). Text-based Question Answering from Information Retrieval and Deep Neural Network Perspectives: A Survey. Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 11.","DOI":"10.1002\/widm.1412"},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.websem.2015.12.002","article-title":"Faceted search over RDF-based knowledge graphs","volume":"37","author":"Arenas","year":"2016","journal-title":"J. Web Semant."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"167","DOI":"10.3233\/SW-140134","article-title":"Dbpedia\u2014A large-scale, multilingual knowledge base extracted from wikipedia","volume":"6","author":"Lehmann","year":"2015","journal-title":"Semant. Web"},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Suchanek, F.M., Kasneci, G., and Weikum, G. (2007, January 8\u201312). Yago: A core of semantic knowledge unifying wordnet and wikipedia. Proceedings of the 16th International World Wide Web Conference, Banff, AB, Canada.","DOI":"10.1145\/1242572.1242667"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Bollacker, K., Evans, C., Paritosh, P., Sturge, T., and Taylor, J. (2008, January 10\u201312). Freebase: A collaboratively created graph database for structuring human knowledge. Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, Vancouver, BC, Canada.","DOI":"10.1145\/1376616.1376746"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1145\/2629489","article-title":"Wikidata: A free collaborative knowledgebase","volume":"57","year":"2014","journal-title":"Commun. ACM"},{"key":"ref_82","first-page":"2","article-title":"Towards a Definition of Knowledge Graphs","volume":"48","author":"Ehrlinger","year":"2016","journal-title":"Semantics"},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Sun, H., Bedrax-Weiss, T., and Cohen, W.W. (2019, January 3\u20137). PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, Hong Kong, China.","DOI":"10.18653\/v1\/D19-1242"},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Sun, H., Dhingra, B., Zaheer, M., Mazaitis, K., Salakhutdinov, R., and Cohen, W. (November, January 31). Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium.","DOI":"10.18653\/v1\/D18-1455"},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Sultana, T., and Badugu, S. (2020). A review on different question answering system approaches. Advances in Decision Sciences, Image Processing, Security and Computer Vision, Springer.","DOI":"10.1007\/978-3-030-24318-0_67"},{"key":"ref_86","doi-asserted-by":"crossref","unstructured":"Kenter, T., Borisov, A., Van Gysel, C., Dehghani, M., de Rijke, M., and Mitra, B. (2017, January 7\u201311). Neural networks for information retrieval. Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Tokyo, Japan.","DOI":"10.1145\/3077136.3082062"},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Dong, L., and Lapata, M. (2016, January 7\u201312). Language to logical form with neural attention. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany.","DOI":"10.18653\/v1\/P16-1004"},{"key":"ref_88","first-page":"19","article-title":"A Survey on types of question answering system","volume":"19","author":"Reddy","year":"2017","journal-title":"IOSR J. Comput. Eng."},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Arbaaeen, A., and Shah, A. (2021). Ontology-Based Approach to Semantically Enhanced Question Answering for Closed Domain: A Review. Information, 12.","DOI":"10.3390\/info12050200"},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Menie, M.A.W.O., te Nijenhuis, J., and Murphy, R. (2015). The Victorians were still faster than us. Commentary: Factors influencing the latency of simple reaction time. Front. Hum. Neurosci., 9.","DOI":"10.3389\/fnhum.2015.00452"},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Hr\u00faz, M., Campr, P., Kr\u0148oul, Z., \u017delezn\u1ef3, M., Aran, O., and Santemiz, P. (2011, January 24\u201326). Multi-modal dialogue system with sign language capabilities. Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility, Dundee, UK.","DOI":"10.1145\/2049536.2049599"},{"key":"ref_92","unstructured":"Skantze, G., and Schlangen, D. (April, January 30). Incremental dialogue processing in a micro-domain. Proceedings of the 12th Conference of the European Chapter of the ACL, Athens, Greece."},{"key":"ref_93","unstructured":"Addlesee, A., Eshghi, A., and Konstas, I. (2019). Current challenges in spoken dialogue systems and why they are critical for those living with dementia. arXiv."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1007\/s10462-020-09866-x","article-title":"Survey on evaluation methods for dialogue systems","volume":"54","author":"Deriu","year":"2020","journal-title":"Artif. Intell. Rev."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1162\/coli_a_00368","article-title":"The design and implementation of xiaoice, an empathetic social chatbot","volume":"46","author":"Zhou","year":"2020","journal-title":"Comput. Linguist."},{"key":"ref_96","doi-asserted-by":"crossref","unstructured":"Mallios, S., and Bourbakis, N. (2016, January 13\u201315). A survey on human machine dialogue systems. Proceedings of the 2016 7th International Conference on Information, Intelligence, Systems & Applications (IISA), Chalkidiki, Greece.","DOI":"10.1109\/IISA.2016.7785371"},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Chaves, A.P., and Gerosa, M.A. (2021). The Impact of Chatbot Linguistic Register on User Perceptions: A Replication Study. Chatbot Research and Design. CONVERSATIONS 2021, Springer.","DOI":"10.1007\/978-3-030-94890-0_9"},{"key":"ref_98","doi-asserted-by":"crossref","unstructured":"Liebrecht, C., Sander, L., and Hooijdonk, C.V. (2020). Too informal? How a chatbot\u2019s communication style affects brand attitude and quality of interaction. Chatbot Research and Design. CONVERSATIONS 2020, Springer.","DOI":"10.1007\/978-3-030-68288-0_2"},{"key":"ref_99","unstructured":"Hu, B., Lu, Z., Li, H., and Chen, Q. (2014, January 8\u201313). Convolutional Neural Network Architectures for Matching Natural Language Sentences. Proceedings of the 27th International Conference on Neural Information Processing Systems-Volume 2, Montreal, QC, Canada."},{"key":"ref_100","doi-asserted-by":"crossref","unstructured":"Lowe, R., Pow, N., Serban, I., and Pineau, J. (2015, January 29\u201331). The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems. Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Singapore and Online.","DOI":"10.18653\/v1\/W15-4640"},{"key":"ref_101","unstructured":"Ritter, A., Cherry, C., and Dolan, W.B. (2011, January 27\u201331). Data-driven response generation in social media. Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, Edinburgh, UK."},{"key":"ref_102","unstructured":"Song, Y., Yan, R., Li, X., Zhao, D., and Zhang, M. (2016). Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems. arXiv."},{"key":"ref_103","unstructured":"Qiu, M., Li, F.L., Wang, S., Gao, X., Chen, Y., Zhao, W., Chen, H., Huang, J., and Chu, W. (August, January 30). Alime chat: A sequence to sequence and rerank based chatbot engine. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, BC, Canada."},{"key":"ref_104","doi-asserted-by":"crossref","unstructured":"Ni, J., Young, T., Pandelea, V., Xue, F., Adiga, V., and Cambria, E. (2021). Recent advances in deep learning based dialogue systems: A systematic survey. arXiv.","DOI":"10.1007\/s10462-022-10248-8"},{"key":"ref_105","doi-asserted-by":"crossref","unstructured":"Coope, S., Farghly, T., Gerz, D., Vuli\u0107, I., and Henderson, M. (2020, January 5\u201310). Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics; Association for Computational Linguistics, Online.","DOI":"10.18653\/v1\/2020.acl-main.11"},{"key":"ref_106","unstructured":"Qiu, L., Li, J., Bi, W., Zhao, D., and Yan, R. (August, January 28). Are training samples correlated? Learning to generate dialogue responses with multiple references. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy."},{"key":"ref_107","unstructured":"Moon, S., Shah, P., Kumar, A., and Subba, R. (August, January 28). Opendialkg: Explainable conversational reasoning with attention-based walks over knowledge graphs. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy."},{"key":"ref_108","doi-asserted-by":"crossref","unstructured":"Zhang, H., Lan, Y., Pang, L., Guo, J., and Cheng, X. (2019). Recosa: Detecting the relevant contexts with self-attention for multi-turn dialogue generation. arXiv.","DOI":"10.18653\/v1\/P19-1362"},{"key":"ref_109","doi-asserted-by":"crossref","unstructured":"Henderson, M., Vuli\u0107, I., Gerz, D., Casanueva, I., Budzianowski, P., Coope, S., Spithourakis, G., Wen, T.H., Mrk\u0161i\u0107, N., and Su, P.H. (2019). Training Neural Response Selection for Task-Oriented Dialogue Systems. arXiv.","DOI":"10.18653\/v1\/P19-1536"},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"Mnih","year":"2015","journal-title":"Nature"},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"Jung, J., Son, B., and Lyu, S. (2020, January 8\u201312). Attnio: Knowledge graph exploration with in-and-out attention flow for knowledge-grounded dialogue. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Punta Cana, Dominican Republic.","DOI":"10.18653\/v1\/2020.emnlp-main.280"},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1145\/357980.357991","article-title":"ELIZA\u2014A computer program for the study of natural language communication between man and machine","volume":"26","author":"Weizenbaum","year":"1983","journal-title":"Commun. ACM"},{"key":"ref_113","doi-asserted-by":"crossref","unstructured":"ZEM\u010c\u00cdK, M.T. (2019). A brief history of chatbots. DEStech Trans. Comput. Sci. Eng., 10.","DOI":"10.12783\/dtcse\/aicae2019\/31439"},{"key":"ref_114","doi-asserted-by":"crossref","unstructured":"Caldarini, G., Jaf, S., and McGarry, K. (2022). A Literature Survey of Recent Advances in Chatbots. Information, 13.","DOI":"10.3390\/info13010041"},{"key":"ref_115","first-page":"1019","article-title":"Chatbots: An overview. Types, architecture, tools and future possibilities","volume":"5","author":"Nimavat","year":"2017","journal-title":"Int. J. Sci. Res. Dev."},{"key":"ref_116","doi-asserted-by":"crossref","unstructured":"Miner, A.S., Laranjo, L., and Kocaballi, A.B. (2020). Chatbots in the fight against the COVID-19 pandemic. NPJ Digit. Med., 3.","DOI":"10.1038\/s41746-020-0280-0"},{"key":"ref_117","first-page":"373","article-title":"An Overview of Chatbot Technology","volume":"584","author":"Adamopoulou","year":"2020","journal-title":"Artif. Intell. Appl. Innov."},{"key":"ref_118","unstructured":"Deshpande, A., Shahane, A., Gadre, D., Deshpande, M., and Joshi, P.M. (2017). A survey of various chatbot implementation techniques. Int. J. Comput. Eng. Appl., 11."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"502","DOI":"10.18178\/ijmerr.9.4.502-510","article-title":"An overview of machine learning in chatbots","volume":"9","author":"Suta","year":"2020","journal-title":"Int. J. Mech. Eng. Robot. Res."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1002\/dir.20113","article-title":"Adoption of virtual try-on technology for online apparel shopping","volume":"22","author":"Kim","year":"2008","journal-title":"J. Interact. Mark."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.jretconser.2012.10.005","article-title":"Interpersonal service quality, self-service technology (SST) service quality, and retail patronage","volume":"20","author":"Lee","year":"2013","journal-title":"J. Retail. Consum. Serv."},{"key":"ref_122","unstructured":"Yang, K., and Forney, J.C. (2013). The moderating role of consumer technology anxiety in mobile shopping adoption: Differential effects of facilitating conditions and social influences. J. Electron. Commer. Res., 14."},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1287\/isre.14.2.189.16018","article-title":"A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion\/adoption study","volume":"14","author":"Chin","year":"2003","journal-title":"Inf. Syst. Res."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1007\/s12525-020-00454-z","article-title":"What makes you continuously use chatbot services? Evidence from chinese online travel agencies","volume":"31","author":"Li","year":"2021","journal-title":"Electron. Mark."},{"key":"ref_125","doi-asserted-by":"crossref","unstructured":"Jain, M., Kumar, P., Kota, R., and Patel, S.N. (2018, January 23\u201328). Evaluating and informing the design of chatbots. Proceedings of the 2018 Designing Interactive Systems Conference, San Diego, CA, USA.","DOI":"10.1145\/3196709.3196735"},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"627","DOI":"10.26483\/ijarcs.v9i1.5398","article-title":"Empowering chatbots with business intelligence by big data integration","volume":"9","author":"Sankar","year":"2018","journal-title":"Int. J. Adv. Res. Comput. Sci."},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1016\/j.future.2021.06.001","article-title":"Representing emotions with knowledge graphs for movie recommendations","volume":"125","author":"Breitfuss","year":"2021","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"149220","DOI":"10.1109\/ACCESS.2020.3016142","article-title":"KBot: A Knowledge Graph Based ChatBot for Natural Language Understanding Over Linked Data","volume":"8","author":"Jiang","year":"2020","journal-title":"IEEE Access"},{"key":"ref_129","doi-asserted-by":"crossref","unstructured":"Yan, R., and Wu, W. (2021, January 2\u20139). Empowering conversational AI is a trip to Mars: Progress and future of open domain human\u2013computer dialogues. Proceedings of the AAAI Conference on Artificial Intelligence, Virtual Event.","DOI":"10.1609\/aaai.v35i17.17771"},{"key":"ref_130","unstructured":"(2022, January 23). The Rise of Multimodal and Multilingual Search. Available online: https:\/\/www.oncrawl.com\/technical-seo\/rise-multimodal-multilingual-search\/."},{"key":"ref_131","unstructured":"(2021, July 30). ReadWrite What Does the Future of Online Search Look Like?. Available online: https:\/\/readwrite.com\/2020\/12\/28\/future-of-seo\/."},{"key":"ref_132","unstructured":"(2021, July 30). The Future of Search. Available online: https:\/\/www.iprospect.com\/en\/gb\/news-and-insights\/news\/the-future-of-search\/."},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1109\/JPROC.2012.2189916","article-title":"The history of information retrieval research","volume":"100","author":"Sanderson","year":"2012","journal-title":"Proc. IEEE"},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.techsoc.2018.03.005","article-title":"The societal impact of big data: A research roadmap for Europe","volume":"54","author":"Cuquet","year":"2018","journal-title":"Technol. Soc."},{"key":"ref_135","doi-asserted-by":"crossref","unstructured":"Reid, P., and Laffey, D. (2016). Search Engines: Past, Present, and Future. Encyclopedia of E-Commerce Development, Implementation, and Management, IGI Global.","DOI":"10.4018\/978-1-4666-9787-4.ch078"},{"key":"ref_136","doi-asserted-by":"crossref","unstructured":"Caballero, M. (2021). A Brief Survey of Question Answering Systems. Int. J. Artif. Intell. Appl. (IJAIA), 12.","DOI":"10.5121\/ijaia.2021.12501"},{"key":"ref_137","doi-asserted-by":"crossref","unstructured":"Jacques, R., F\u00f8lstad, A., Gerber, E., Grudin, J., Luger, E., Monroy-Hern\u00e1ndez, A., and Wang, D. (2019, January 4\u20139). Conversational agents: Acting on the wave of research and development. Proceedings of the Extended abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, Glasgow, UK.","DOI":"10.1145\/3290607.3299034"},{"key":"ref_138","doi-asserted-by":"crossref","unstructured":"Masche, J., and Le, N.T. (2017). A review of technologies for conversational systems. Advanced Computational Methods for Knowledge Engineering. ICCSAMA 2017, Springer.","DOI":"10.1007\/978-3-319-61911-8_19"}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/13\/7\/324\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:42:44Z","timestamp":1760139764000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/13\/7\/324"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,4]]},"references-count":138,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2022,7]]}},"alternative-id":["info13070324"],"URL":"https:\/\/doi.org\/10.3390\/info13070324","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,4]]}}}