Keyword search in information retrieval and relational database system: Two class view
| Autor: | Prajakta Jagtap, Abhijeet Manepatil, Aniket Kadam, Sanket S. Pawar |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
SQL
Web search query Information retrieval Concept search Relational database Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL 0102 computer and information sciences 02 engineering and technology computer.software_genre 01 natural sciences Search-oriented architecture Keyword density Relational database management system 010201 computation theory & mathematics 020204 information systems 0202 electrical engineering electronic engineering information engineering Document retrieval computer computer.programming_language |
| Zdroj: | 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). |
| DOI: | 10.1109/iceeot.2016.7755576 |
| Popis: | Information Retrieval and web search domain revolves around search and retrieve Methodologies. keyword search has been most popular and easy to used technique. Popular search Engine like Google Bing at core have this methodology in operation. Keywords are terms Extracted from document or single sentence generating sense when clustered in context. Same Keywords might be present in different document but structure and position of keywords build different meaning, this highlights keyword importance. Keywords are daily used atomic terms which when used in two or more group to represent information form phrases or short sentences and require concept generated by keywords. Success of keyword technology is simple match of documents consisting Question Keyword. Even though irrelevant results are retrieved due to word sense Ambiguity (WSD) necessitate concept extraction, web information is multiplying in petabytes and daily 20 petabytes of information is processed by Google still core technique of search remains on keyword as best even today. A lot effort has been taken to extend this keyword search patterns to relational database systems from last four decades. A large volume of information is stored in data which is as large as size of static web. Extending keyword search to relational data base systems would eliminate requirement of specialized data processing and manipulation language like sql. Database would be handled by nontechnical person simply with assistance of word. Relational database system are operated with precise query retrieving all matched records restricted query dimension on other hand IR System rank and present information documents containing cluster and focusing on user experience and precision. Extending keyword pattern search on relational database management system also requires extending Index, ranking, clustering to database management system with specially constructed components performing above task. This research work is dedicated to keyword search and gives two viewpoints of its application in IR and database system. Article present prototype of Machine A and B, where A presents Innovative IR system and B presents Discover approach relational database management system. Article focus more on extending keyword search to database management system as it less addressed topic and more challenging. Analysis of Machine B show that performance evaluation need to address with effective evaluation like query workload memory utilization for flexible and scalable optimized machine development. Rather than evaluation parameters like time delay etc. hybrid scalable document retrieval system is build and evaluated on memory utilization and search space is reduced by half with two layer algorithm. Further scope of system is developing hybridization at machine level and working with images as input query. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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