The generation of inverted indexes is one of the most computationally intensive activities for information retrieval (IR) systems: indexing large multigigabyte text databases can take many hours or even days to complete. We examine the generation of partitioned inverted files in order to speed up the process of indexing. We describe the components of PLIERS, the system used to index the documen...

We propose an approach for indexing fuzzy data based on inverted files that speeds up retrieval considerably by stopping the traversal of postings lists early. This is possible because the entries in the postings lists are organized in a way that guarantees that there are no matching items beyond a certain point in a list. Consequently, we can reduce the number of false positives significantly,...

In this paper, kinematic and workspace analysis of 3-DoF planar Parallel Kinematic Machine (PKM) is carried out. The mechanism consists of three legs in which two legs have Prismatic-RevolutePrismatic joints and other leg has Prismatic-Prismatic-Revolute joints, it termed as 2-PRP and 1-PPR planar parallel kinematic machine. By these joints, the mechanism can achieve two translational motions a...

One way to improve inverted file compression is to use the cluster property [1] of document collection, which states that term occurrences are not uniformly distributed. Some terms are more frequently used in some parts of the collection than in others. The corresponding part of the inverted list will consequently be small d-gap values clustered. Interpolative code [9] exploits the cluster prop...

The interaction of two binary variables, assumed to be empirical observations, has three degrees of freedom when expressed as a matrix of frequencies. Usually, the size of causal influence of one variable on the other is calculated as a single value, as increase in recovery rate for a medical treatment, for example. We examine what is lost in this simplification, and propose using two interface...

Web search engines achieve efficient performance by partitioning and replicating the indexing data structure used to support query processing. Current practice simply partitions and replicates the text collection on the set of cluster processors and then constructs in each processor an index data structure. This paper proposes a different approach by constructing an index data structure that pr...

Based on the current state of practice, this paper examines the issues in measuring disaster preparedness, and the process of constructing indicators and indices. Existing indices are examined, and a proposed framework of creating a Disaster Preparedness Index (DPi), and Resiliency Index (Ri) with a suggested list of measurement indicators is put forward. The framework and indicator list is unw...

Finding desired information from large data set is a difficult problem. Information retrieval is concerned with the structure, analysis, organization, storage, searching, and retrieval of information. Index is the main constituent of an IR system. Now a day exponential growth of information makes the index structure large enough affecting the IR system’s quality. So compressing the Index struct...

Content And Structure (CAS) index for XML data is an important index type that has not been widely researched, even though its role is important especially in multi domain applications. Most existing researches in XML Queries Optimization focus on structure index alone. Few have utilized the rich semantic of XML data to support CAS index and querying. In this paper, we propose two indexes namel...