{"title":"基于混合检索和索引技术的新型教育搜索引擎","authors":"Kamal El Guemmat, Sara Ouahabi","doi":"10.1109/ICSSD47982.2019.9002729","DOIUrl":null,"url":null,"abstract":"Today, search engines play an important role in retrieving documents from a large database. The key success factors of these engines are their indexing and searching techniques.These engines have touched many areas to help their users to find the desired resources in a fast and accurate way. The field of teaching and research take advantage of these engines to offer them to the interested actors (students, teacher, staff, etc.) in order to find the desired learning objects.There are several prominent educational search engines in the field implementing the techniques of indexing and searching either classic, semantic, metadata. However, most engines do not mix all of these to achieve important results.The engine which will be presented in what follows benefits from the best techniques of the literature, and offers a more relevant searching.","PeriodicalId":342806,"journal":{"name":"2019 1st International Conference on Smart Systems and Data Science (ICSSD)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Towards a new educational search engine based on hybrid searching and indexing techniques\",\"authors\":\"Kamal El Guemmat, Sara Ouahabi\",\"doi\":\"10.1109/ICSSD47982.2019.9002729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Today, search engines play an important role in retrieving documents from a large database. The key success factors of these engines are their indexing and searching techniques.These engines have touched many areas to help their users to find the desired resources in a fast and accurate way. The field of teaching and research take advantage of these engines to offer them to the interested actors (students, teacher, staff, etc.) in order to find the desired learning objects.There are several prominent educational search engines in the field implementing the techniques of indexing and searching either classic, semantic, metadata. However, most engines do not mix all of these to achieve important results.The engine which will be presented in what follows benefits from the best techniques of the literature, and offers a more relevant searching.\",\"PeriodicalId\":342806,\"journal\":{\"name\":\"2019 1st International Conference on Smart Systems and Data Science (ICSSD)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Smart Systems and Data Science (ICSSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSD47982.2019.9002729\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Smart Systems and Data Science (ICSSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSD47982.2019.9002729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Towards a new educational search engine based on hybrid searching and indexing techniques
Today, search engines play an important role in retrieving documents from a large database. The key success factors of these engines are their indexing and searching techniques.These engines have touched many areas to help their users to find the desired resources in a fast and accurate way. The field of teaching and research take advantage of these engines to offer them to the interested actors (students, teacher, staff, etc.) in order to find the desired learning objects.There are several prominent educational search engines in the field implementing the techniques of indexing and searching either classic, semantic, metadata. However, most engines do not mix all of these to achieve important results.The engine which will be presented in what follows benefits from the best techniques of the literature, and offers a more relevant searching.