Empowering the user to access databases using simple keyword search can be a relief for the user to learn SQL and to understand the schema. Keyword Search has also received a lot of attention in database as it is an effective technique to retrieve the query without knowing the underlying schema. Researches done in this area mostly deal with keyword search in single database then what for when the user is dealing with more than one database, to overcome this problem we are introducing an algorithm of SIL (Searching in Linked Databases). The other challenge in keyword processing is storing the keyword in the table i.e. via Inverted Index, so we introduce a novel technique to DeINIX (Density INverted IndeX) which reduce the memory storage space henceforth the pre-processing time is also reduced and the answer displayed will be First-10 answers. Our empirical result shows that this method answers queries more precisely, takes lesser time and memory space to retrieve a quality answer.
Nowadays due to the advancements in spatial data acquisition technologies, data acquisition technologies are producing mass high precision spatial data. To store such high precision data onto the database is a big challenge today. Spatial database is different from relational database as it contains data along with its location, so security concerns of spatial database are also different from relational data. Thus spatial data requires special security policies and implementation of these security policies. In this work, a secure access control mechanism for geospatial data is developed. In this method, security is provided on two levels. In first level, authorization to every user is provided; thus a user can access only that part of spatial database, over which he has authority to access. In second level, access is controlled over an image; based on the location over which a user needs to access data and access is provided only to that part of an image.
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