Taxonomy Based Fuzzy Filtering of Search Results

Taxonomy Based Fuzzy Filtering of Search Results

S. Vrettos (National Technical University of Athens, Greece) and A. Stafylopatis (National Technical University of Athens, Greece)
Copyright: © 2004 |Pages: 15
DOI: 10.4018/978-1-59140-194-0.ch015
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Abstract

Our work proposes the use of topic taxonomies as part of a filtering language. Given a taxonomy, we train classifiers for every topic of it. The user is able to formulate logical rules combining the available topics, e.g., (Topic1 AND Topic2) OR Topic3, in order to filter related documents in a stream of documents. Using the classifiers, every document in the stream is assigned a belief value of belonging to the topics of the filter. These belief values are then aggregated using logical operators to yield the belief to the filter. In that framework, we are concerned with the operators that provide the best filtering performance for the user. In our study, Support Vector Machines (SVMs) and Naïve Bayes (NB) classifiers were used to provide topic probabilities. Fuzzy aggregation operators were tested on the Reuters text corpus and showed better results than their Boolean counterparts. Moreover, the application of Ordered Weighted Averaging (OWA) operators considerably improved the performance of fuzzy aggregation, especially in the case of NB classifiers. Finally, we describe a filtering system to exemplify the use of fuzzy filtering.

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Table of Contents
Acknowledgments
Masoud Mohammadian
Chapter 1
Hui Yang, Minjie Zhang
The rapid proliferation of online textual databases on the Internet has made it difficult to effectively and efficiently search desired information... Sample PDF
Potential Cases, Database Types, and Selection Methodologies for Searching Distributed Text Databases
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Chapter 2
Masoud Mohammadian, Ric Jentzsch
The World Wide Web has added an abundance of data and information to the complexity of information for disseminators and users alike. With this... Sample PDF
Computational Intelligence Techniques Driven Intelligent Agents for Web Data Mining and Information Retrieval
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Chapter 3
Juan Manuel Dodero, Paloma Diaz, Ignacio Aedo
Knowledge creation or production in a distributed knowledge management system is a collaborative task that needs to be coordinated. A multi-agent... Sample PDF
A Multi-Agent Approach to Collaborate Knowledge Production
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Chapter 4
Jin Sung Kim
One of the attractive topics in the field of Internet business is blending Artificial Intelligence (AI) techniques with the business process. In... Sample PDF
Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning
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Chapter 5
David Camacho, Ricardo Aler, Juan Cuadrado
How to build intelligent robust applications that work with the information stored in the Web is a difficult problem for several reasons which arise... Sample PDF
Rule-Based Parsing for Web Data Extraction
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Chapter 6
Rowena Chau, Chung-Hsing Yeh
This chapter presents a novel user-oriented, concept-based approach to multilingual web content mining using self-organizing maps. The multilingual... Sample PDF
Multilingual Web Content Mining: A User-Oriented Approach
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Chapter 7
Kaïs Khrouf, Chantal Soule-Dupuy
An enterprise memory must be able to be used as a basis for the processes of scientific or technical developments. Indeed, it was proven that... Sample PDF
A Textual Warehouse Approach: A Web Data Repository
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Chapter 8
T. Beran, T. Macek
This chapter describes a rather less traditional technique of text processing. The technique is based on the binary neural network Correlation... Sample PDF
Text Processing by Binary Neural Networks
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Chapter 9
Daniel Rivero, Juan R. Rabunal, Julián Dorado, Alejandro Pazos, Nieves Pedreira
In this chapter, we present an application of Genetic Programming (GP) in the field of data mining and extraction of Artificial Neural Networks... Sample PDF
Extracting Knowledge from Databases and ANNs with Genetic Programming: Iris Flower Classification Problem
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Chapter 10
Koichi Jurumatani
We propose a social coordination mechanism that is realized with CONSORTS, a new kind of multi-agent architecture for ubiquitous agents. By social... Sample PDF
Social Coordination with Architecture for Ubiquitous Agents-CONSORTS
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Chapter 11
A. Andreevskaia, R. Abi-Aad, T. Radhakrishnan
This chapter presents a tool for knowledge acquisition for user profiling in electronic commerce. The knowledge acquisition in e-commerce is a... Sample PDF
Agent-Mediated Knowledge Acquisition for User Profiling
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Chapter 12
Shinichi Nagano, Yasuyuki Tahara, Tetsuo Hasegawa, Akihiko Ohsuga
Heavy electric machinery industry is currently developing electronic market places of product and parts. PLIB is the standard of dictionary model... Sample PDF
Development of Agent-Based Electronic Catalog Retrieval System
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Chapter 13
Samhaa R. El-Baltagy, Ahmed Rafea, Yasser Abdelhamid
This chapter presents a simple framework for extracting information found in publications or documents that are issued in large volumes and which... Sample PDF
Using Dynamically Acquired Background Knowledge for Information Extraction and Intelligent Search
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Chapter 14
Shanfeng Zhu, Xiaotie Deng, Qizhi Fang, Weimin Zhang
Web search engines are one of the most popular services to help users find useful information on the Web. Although many studies have been carried... Sample PDF
A Study on Web Searching: Overlap and Distance of the Search Engine Results
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Chapter 15
S. Vrettos, A. Stafylopatis
Our work proposes the use of topic taxonomies as part of a filtering language. Given a taxonomy, we train classifiers for every topic of it. The... Sample PDF
Taxonomy Based Fuzzy Filtering of Search Results
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Chapter 16
Wei Lai, Maolin Huang, Kang Zhang
A graph can be used for web navigation. The whole of cyberspace can be regarded as one huge graph. To explore this huge graph, it is critical to... Sample PDF
Generating and Adjusting Web Sub-Graph Displays for Web Navigation
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Chapter 17
Hong Shi, Ji-Fu Zhang
There are frequent occurrences of pattern match involved in the process of counting the support count of candidates, which is one of the main... Sample PDF
An Algorithm of Pattern Match Being Fit for Mining Association Rules
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Chapter 18
Jon T.S. Quah, Y. M. Chen, Winnie C.H. Leow
With the rapid evolution of the Internet, information overload is becoming a common phenomenon. It is necessary to have a tool to help users extract... Sample PDF
Networking E-Learning Hosts Using Mobile Agents
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About the Authors