The Architecture of PIER: an Internet-Scale Query Processor

The Architecture of PIER: an Internet-Scale Query Processor Under Submission – Do Not Redistribute

PIER: Internet Scale P2P Query Processing with Distributed Hash Tables

PIER: Internet Scale P2P Query Processing with Distributed Hash Tables by Ryan Jay Huebsch Doctor of Philosophy in Computer Science University of California, Berkeley Professor Joseph M. Hellerstein, Chair Distributed database systems have long been a topic of interest in the database research community. Existing designs focus on two principles; make the distribution transparent to users and pr...

Query Architecture Expansion in Web Using Fuzzy Multi Domain Ontology

Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem ...

Query expansion based on relevance feedback and latent semantic analysis

Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is a way to reduce this concern and increase user satisfaction. In this paper, a new method of query expa...

Improved Skips for Faster Postings List Intersection

Information retrieval can be achieved through computerized processes by generating a list of relevant responses to a query. The document processor, matching function and query analyzer are the main components of an information retrieval system. Document retrieval system is fundamentally based on: Boolean, vector-space, probabilistic, and language models. In this paper, a new methodology for mat...