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Information Retrieval Technology 信息检索技术

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Information Retrieval Technology 信息检索技术

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作 者:GaryGeunbae Lee 著

出 版 社:北京燕山出版社

出版时间:2005-10-1

I S B N:9783540291862

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内容简介

This book constitutes the refereed proceedings of the International Conference on Spatial Information Theory, COSIT 2005, held in Elliottville, NY, USA in September 2005. The 30 revised full papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in topical sections on vagueness, uncertainty, and gradation; paths and routes; ontologies and semantics; ontologies and spatial relations; spatial reasoning: cognitive maps and spatial reasoning; time, change, and dynamics; landmarks and navigation; geographic information, and spatial behaviour.

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目录

Session 1A: Relevance/Retrieval Models
 The Reliability of Metrics Based on Graded Relevance
 Improving Weak Ad-Hoc Retrieval by Web Assistance and Data Fusion
 Query Expansion with the Minimum Relevance Judgments
 Improved Concurrency Control Technique with LockFree Querying for Multidimensional Index Structure
Session 1B: Multimedia IR
 A Color-Based Image Retrieval Method Using Color Distribution and Common Bitmap
 A Probabilistic Model for Music Recommendation Considering Audio Features
 VisMed: A Visual Vocabulary Approach for Medical Image Indexing and Retrieval
 Object Identification and Retrieval from Efficient Image Matching:Snap2Tell with the STOIC Dataset
Session 2A: Natural Language Processing in IR
 Extracting the Significant Terms from a SentenceTerm Matrix by
 Removal of the Noise in Term Usage
 Cross Document Event Clustering Using Knowledge Mining from Co-reference Chains
 Filtering Contents with Bigrams and Named Entities to Improve Text Classification
Session 2B: Enabling Technology
 The Spatial Indexing Method for Supporting a Circular Location Property of Object
 Supervised Categorization of JavaScriptTM Using Program Analysis Features
 Effective and Scalable Authorship Attribution Using Function Words
Session 3A: Web IR
 Learning to Integrate Web Taxonomies with Fine-Grained Relations: A Case Study Using Maximum Entropy Model
 WIDIT: Fusion-Based Approach to Web Search Optimization
 Transactional Query Identification in Web Search
Session 3B: Question Answering
 Improving FAQ Retrieval Using Query Log Clustering in Latent Semantic Space
 Phrase-Based Definitional Question Answering Using Definition Terminology
……
Session 4A: Document/Query Models
Session 4B: Special Session:Digital PhotoAlbum
Session 5A: TDT/Clustering
Session 5B:Multimedia/Classification
Poster and Demo Session 1
Poster and Demo Session 2
Author Index

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