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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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
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
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
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Chapter 3
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A Multi-Agent Approach to Collaborate Knowledge Production
Chapter 4
Jin Sung Kim
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Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning
Chapter 5
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Rule-Based Parsing for Web Data Extraction
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
Chapter 7
Kaïs Khrouf, Chantal Soule-Dupuy
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A Textual Warehouse Approach: A Web Data Repository
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
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
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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A. Andreevskaia, R. Abi-Aad, T. Radhakrishnan
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Agent-Mediated Knowledge Acquisition for User Profiling
Chapter 12
Shinichi Nagano, Yasuyuki Tahara, Tetsuo Hasegawa, Akihiko Ohsuga
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Development of Agent-Based Electronic Catalog Retrieval System
Chapter 13
Samhaa R. El-Baltagy, Ahmed Rafea, Yasser Abdelhamid
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Using Dynamically Acquired Background Knowledge for Information Extraction and Intelligent Search
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
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
Chapter 16
Wei Lai, Maolin Huang, Kang Zhang
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Chapter 17
Hong Shi, Ji-Fu Zhang
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An Algorithm of Pattern Match Being Fit for Mining Association Rules
Chapter 18
Jon T.S. Quah, Y. M. Chen, Winnie C.H. Leow
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