{"title":"SearchAutomaton: Searching mechanism for multi-format data by combining indexing tools and techniques","authors":"Hiren D. Pandya, Girish Mulchandani, T. Patalia","doi":"10.1145/2979779.2979846","DOIUrl":null,"url":null,"abstract":"In present days, I.T. Industry is rapidly growing there for its operational data increase significantly. Any large organization review its data effectively for performance evaluation and day to day monitoring. To provide such functionality Search Engine is required. Sometimes requirement of multi-format data retrieval is also important with compare to text retrieval. Oracle, Lucene and Terrier all having its own indexing mechanism to deal with such kind of retrieval. All these have its own limitations too. By combining oracle and Lucene or terrier indexing mechanism formulation of multi-format searching mechanism can be built and these is the main gist of these research. In SearchAutomaton master index is built by combining Oracle 11g index data and Terrier index data. With the help of Top-k algorithm and modified ranking model different indexing structures were analyzed as a master index entries. Effective retrieval is being possible through trained ranking model which give priority ranking for database item and file system item.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"161 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2979779.2979846","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In present days, I.T. Industry is rapidly growing there for its operational data increase significantly. Any large organization review its data effectively for performance evaluation and day to day monitoring. To provide such functionality Search Engine is required. Sometimes requirement of multi-format data retrieval is also important with compare to text retrieval. Oracle, Lucene and Terrier all having its own indexing mechanism to deal with such kind of retrieval. All these have its own limitations too. By combining oracle and Lucene or terrier indexing mechanism formulation of multi-format searching mechanism can be built and these is the main gist of these research. In SearchAutomaton master index is built by combining Oracle 11g index data and Terrier index data. With the help of Top-k algorithm and modified ranking model different indexing structures were analyzed as a master index entries. Effective retrieval is being possible through trained ranking model which give priority ranking for database item and file system item.