Lazy Execution of Boolean Queries

Author(s):  
Dieter Maurer
Keyword(s):  
Author(s):  
Pankaj Dadheech ◽  
Dinesh Goyal ◽  
Sumit Srivastava ◽  
Ankit Kumar

Spatial queries frequently used in Hadoop for significant data process. However, vast and massive size of spatial information makes it difficult to process the spatial inquiries proficiently, so they utilized the Hadoop system for process Big Data. We have used Boolean Queries & Geometry Boolean Spatial Data for Query Optimization using Hadoop System. In this paper, we show a lightweight and adaptable spatial data index for big data which will process in Hadoop frameworks. Results demonstrate the proficiency and adequacy of our spatial ordering system for various spatial inquiries.


Author(s):  
HEINER STUCKENSCHMIDT

Web page categorization is an approach for improving precision and efficiency of information retrieval on the web by filtering out irrelevant pages. Current approaches to information filtering based on categorization assume the existence of a single classification hierarchy used for filtering. In this paper, we address the problem of filtering information categorized according to different classification hierarchies. We describe a method for approximating Boolean queries over class names across different class hierarchies.


Author(s):  
JAE HUN CHOI ◽  
JAE DONG YANG ◽  
DONG GILL LEE

In this paper, we propose a new approach for managing domain specific thesauri, where object-oriented paradigm is applied to thesaurus construction and query-based browsing. The approach provides an object-oriented mechanism to assist domain experts in constructing thesauri; it determines a considerable part of relationship degrees between terms by inheritance and supplies the domain expert with information available from other parts of the thesaurus being constructed or already constructed. In addition to that, it enables domain experts to incrementally construct the thesaurus, since the automatically determined relationship degrees can be refined whenever a more sophisticated thesaurus is needed. It may minimize domain experts' burden caused by the exhaustive specification of individual relationship. This approach also provides a query-based browsing facility, which enables users to find desired thesaurus terms without tedious browsing in the thesaurus. A browsing query can be formulated with terms rather ambiguous, yet capable of deriving the desired terms. This browsing query is useful especially when users want precise results. In other words, it is useful when they want to use only thesaurus terms carefully selected in reformulating Boolean queries. To demonstrate the feasibility of our approach, we fully implemented an object-based thesaurus system, which supports the semiautomatic thesaurus construction and the query-based browsing facility.


Author(s):  
P Bosc ◽  
A Hadjali ◽  
O Pivert

The idea of extending the usual Boolean queries with preferences has become a hot topic in the database community. One of the advantages of this approach is to deliver discriminated answers rather than flat sets of elements. Fuzzy sets are a natural means to represent preferences, and many works have been undertaken to define queries where fuzzy predicates can be introduced inside user queries. The objective of this chapter is to illustrate the expressiveness of fuzzy sets with the division operator in the context of regular databases. Like other operators, the regular division is not flexible at all and small variations in the data may lead to totally different results. To counter this behavior, a variety of extended division operators founded on fuzzy sets are suggested. All of them obey a double requirement: to have a clear meaning from a user point of view and to deliver a resulting relation which is a quotient.


Sign in / Sign up

Export Citation Format

Share Document