Espionage on Search Optimization using Dynamic Query Form
Prajkta Dagade, Mansi Bhonsle
Abstract
Prajkta Dagade, Mansi Bhonsle
Abstract
Abstract — Traditional data mining technologies cannot work with huge, heterogeneous, unstructured data. Modern web database as well as scientific database maintains tremendous and heterogeneous data. These real word databases may contain hundreds or even thousands of relations and attributes. Query form is one of the most widely used interfaces for querying database. Traditional query forms are designed and pre-defined by developer or DBA in various information management systems. But extracting the useful information with this traditional query form from large dataset and streams of the data is not possible and it is difficult to design set of static query forms to satisfy numerous ad- hoc database queries on those complex databases. In this paper, we propose a Search optimization using dynamic query form system SODQF. SODQF is a query interface which is able to dynamically generating query forms for user. Unlike to tradition document retrieval, users in database retrieval are often willing to perform many rounds of action before identifying final results. Dynamic query form captures user interest during the user interaction and to adapt the query form interactively. Each iteration consists of three types of user interactions, Selection from an assortment of the forms, Query form Renovation and Query Execution. The Query from is enriched repeatedly until the user is satisfied with the query results. In this paper we are mainly focusing dynamic generation if query forms and ranking of query form components.
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Abstract — Traditional data mining technologies cannot work with huge, heterogeneous, unstructured data. Modern web database as well as scientific database maintains tremendous and heterogeneous data. These real word databases may contain hundreds or even thousands of relations and attributes. Query form is one of the most widely used interfaces for querying database. Traditional query forms are designed and pre-defined by developer or DBA in various information management systems. But extracting the useful information with this traditional query form from large dataset and streams of the data is not possible and it is difficult to design set of static query forms to satisfy numerous ad- hoc database queries on those complex databases. In this paper, we propose a Search optimization using dynamic query form system SODQF. SODQF is a query interface which is able to dynamically generating query forms for user. Unlike to tradition document retrieval, users in database retrieval are often willing to perform many rounds of action before identifying final results. Dynamic query form captures user interest during the user interaction and to adapt the query form interactively. Each iteration consists of three types of user interactions, Selection from an assortment of the forms, Query form Renovation and Query Execution. The Query from is enriched repeatedly until the user is satisfied with the query results. In this paper we are mainly focusing dynamic generation if query forms and ranking of query form components.
Key concepts: Computer science, Query optimization, Web query classification, Query expansion, Query language, Web search query, Sargable, Information retrieval