ARRANGE AND EXTRACT ACCURATE INFORMATION ABOUT XML CONTENT

Order and Return The most relevant results may be the most common form of XML query processing. To work around this problem, we first suggest an elegant query framework to support rough queries across XML data. The solutions based on this framework do not have to accurately fulfill the wording of the query but may be based on attributes that can be inferred in the original query. However, the current proposals do not take the structures into account adequately, in addition they do not have the power to combine structures and contents neatly to answer relaxation queries. Within our solution, we classify the contract into two groups: class attribute points, statistical attribute points, and pattern of related methods in relation to similarity ratings for holding the class attribute and statistical attribute points. We continue to benefit from a comprehensive set of experiments to demonstrate the effectiveness of our proposed approach when it comes to accuracy and recall metrics. XML data cannot be queried in practical applications, because the hierarchical structure of XML documents may be heterogeneous, or any slight misunderstanding of the structure of the document can certainly increase the risk of unsatisfactory query formulation. This is really difficult, especially given the fact that such inquiries give empty solutions, although they are not aggregative errors. In addition, we design a polygonal diagram based on an idea to create and regulate the relaxation of the structure and develop an inefficient evaluation coefficient to assess the relative relationship to structures. We therefore create a new retrieval approach from top k that can intelligently create promising solutions in a contextual arrangement using the order scale

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Not AvailableThe various abiotic stress such as drought, temperature extremes, high–light intensities, ultra–violet radiations, problematic soils (saline, alkaline, sodic and acidic) and flooding adversely affect the growth, development and yields of plants. The productivity of almost all the crops is limited by these environmental constraints. These impacts are further aggravated due to climate change and inter–and intra–seasonal weather aberrations. With the available knowledge and emerging tools and techniques, the impacts of droughts can largely be addressed, if not eliminated completely. Drought planning must be viewed as a dynamic process requiring a continued attention and can be tackled in a dual manner by: (i) drought coping practices in a season based on drought intensity, and (ii) drought amelioration on a permanent basis. Management of rainwater, soil, cropping systems, real–time contingency measures, land–use diversification and building resilience at agricultural landscape level are the major strategies for drought proofing. Agronomic management practices to control temperature extremes should be based on local territorial agroclimatic investigations. Adjusting sowing windows of field crops and other agronomic management practices are critical to mitigate heat stress and to realize optimal yields. Application of exogenous protectants and management practices like nutrient management are vital in improving the plant tolerance against cold stress. The practices such as soil management, crop management, and foliar application of nitrogen–containing compounds and suggested use of waterlogging–tolerant varieties reduced the impact of waterlogging/ flooding. Agronomic management of drought, thermal extremes and waterlogging/ flooding need future major long–term and short–term strategies such as micro–level climate–risk assessment in various crop–production systems, monitoring and forecasting of climatic extremes: creating virtual weather station at microlevel, use of geo–spatial, drought assessment and monitoring at different scales using advanced tools and techniques, and validation and dissemination of abiotic stress and crop–specific real–time contingency measures as 2–pronged approach, i.e. preparedness and real–time implementation.Not Availabl