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DocEng2010 : proceedings of the 2010 ACM Symposium on Document Engineering : September 21-24, 2010, Manchester, United Kingdom
| DocEng2010 : proceedings of the 2010 ACM Symposium on Document Engineering : September 21-24, 2010, Manchester, United Kingdom |
| Autore | Antonacopoulos Apostolos |
| Pubbl/distr/stampa | [Place of publication not identified], : ACM, 2010 |
| Descrizione fisica | 1 online resource (288 pages) |
| Collana | ACM Conferences |
| Soggetto topico |
Commerce
Business & Economics Business Communication |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
DocEng2010 : proceedings of the 2010 Association for Computing Machinery Symposium on Document Engineering : September 21-24, 2010, Manchester, United Kingdom
Proceedings of the 10th ACM Symposium on Document Engineering DocEng2010 ACM Symposium on Document Engineering, Manchester, United Kingdom - September 21 - 24, 2010 |
| Record Nr. | UNINA-9910376013703321 |
Antonacopoulos Apostolos
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| [Place of publication not identified], : ACM, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Web document analysis [[electronic resource] ] : challenges and opportunities / / editors, Apostolos Antonacopoulos, Jianying Hu
| Web document analysis [[electronic resource] ] : challenges and opportunities / / editors, Apostolos Antonacopoulos, Jianying Hu |
| Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, 2003 |
| Descrizione fisica | 1 online resource (346 p.) |
| Disciplina | 005.741 |
| Altri autori (Persone) |
AntonacopoulosApostolos
HuJianying <1966-> |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Data mining
Internet searching |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-92809-7
9786611928094 981-277-537-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; PREFACE; Part I. Content Extraction and Web Mining; CHAPTER 1 CLUSTERING OF WEB DOCUMENTS USING A GRAPH MODEL; 1. Introduction; 2. Graphs: Formal Notation; 3. The Extended k-Means Clustering Algorithm; 4. Clustering of Web Documents using the Graph Model; 5. Experimental Results; Acknowledgments; References; CHAPTER 2 APPLICATIONS OF GRAPH PROBING TO WEB DOCUMENT ANALYSIS; 1. Introduction; 2. Related Work; 3. A Formalism for Graph Probing; 4. Experimental Evaluation; 4.1. Graph Model; 4.2. Generating ""Random"" Collections of Web Pages; 4.3. Experiment #1: Full Graph Matching
4.4. Experiment #2: Subgraph Matching 5. Conclusions; 6. Acknowledgments; References; CHAPTER 3 WEB STRUCTURE ANALYSIS FOR INFORMATION MINING; 1. Introduction; 2. Object Model Architecture; 2.1. HTML Parsing Library; 2.2. Single-Slot HTML Parsing Functions; 2.3. Multi-Slot/Pattern HTML Parsing Functions; 3. User Interface; 4. News Article Extraction; 5. Link Extraction; 6. Stock Quote Extraction; 7. Conclusion; Acknowledgment; References; CHAPTER 4 NATURAL LANGUAGE PROCESSING FOR WEB DOCUMENT ANALYSIS; 1. Introduction; 2. Design Principles; 2.1. Why XML?; 2.2. User Orientation 2.3. Portability 3. Document Suite XDOC; 3.1. Preprocessing Module; 3.1.1. HTML Cleaner; 3.1.2. Structure Tagger; 3.1.3. POS Tagger; 3.2. Syntactic Module; 3.2.1. Syntactic Parser; 3.2.2. Phrase Detector; 3.3. Corpus Based Module; 3.4. Semantic Module; 3.4.1. Semantic Tagger; 3.4.2. Case Frame Analysis; 3.4.3. Semantic Interpretation of Syntactic Structure; 4. Related Work; 5. Conclusion; References; Part II. Document Analysis for Adaptive Content Delivery; CHAPTER 5 REFLOWABLE DOCUMENT IMAGES; 1. Introduction; 2. Image and Layout Analysis; 2.1. Text/Image Segmentation; 2.2. Preprocessing 2.3. Layout Analysis 3. HTML-Based Representations; 4. Reader Applications; 5. New Document Formats; 6. Summary and Conclusions; Acknowledgments; References; CHAPTER 6 EXTRACTION AND MANAGEMENT OF CONTENT FROM HTML DOCUMENTS; 1. Introduction; 2. Research Direction; 3. Current State of the Art; 3.1 Handcrafting; 3.2 Transcoding; 3.3 Adaptive Re-authoring; 4. Proposed Approach; 4.1. Web Page Segmentation; 4.2. Contextual Analysis and Segment Labeling; 4.3. Web-Page Summarization; 4.4. Post-processing; 4.5. Overall Summary of the Content Extraction and Display Process; 5. Results; 6. Discussion 6.1 Web Page Segmentation 6.2 Contextual Analysis and Segment Labeling; 6.3 Web-Page Summarization; 6.4. Display Capabilities; 6.5. Language Independence; 6.6. Current State of Research; 6.7. Supported Devices; 7. Concluding Remarks; References; CHAPTER 7 HTML PAGE ANALYSIS BASED ON VISUAL CUES; 1. Introduction; 1.1. Document Analysis for Search Engines; 1.2. Document Analysis for Adaptive Content Delivery; 2. Visual Similarity of HTML Objects; 2.1. Visual Similarity of Simple Objects; 2.2. Visual Similarity of Container Objects; 3. Pattern Detection and Construction of Structured Documents 3.1. Quantization |
| Record Nr. | UNINA-9910454086103321 |
| Singapore ; ; River Edge, NJ, : World Scientific, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Web document analysis [[electronic resource] ] : challenges and opportunities / / editors, Apostolos Antonacopoulos, Jianying Hu
| Web document analysis [[electronic resource] ] : challenges and opportunities / / editors, Apostolos Antonacopoulos, Jianying Hu |
| Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, 2003 |
| Descrizione fisica | 1 online resource (346 p.) |
| Disciplina | 005.741 |
| Altri autori (Persone) |
AntonacopoulosApostolos
HuJianying <1966-> |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Data mining
Internet searching |
| ISBN |
1-281-92809-7
9786611928094 981-277-537-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; PREFACE; Part I. Content Extraction and Web Mining; CHAPTER 1 CLUSTERING OF WEB DOCUMENTS USING A GRAPH MODEL; 1. Introduction; 2. Graphs: Formal Notation; 3. The Extended k-Means Clustering Algorithm; 4. Clustering of Web Documents using the Graph Model; 5. Experimental Results; Acknowledgments; References; CHAPTER 2 APPLICATIONS OF GRAPH PROBING TO WEB DOCUMENT ANALYSIS; 1. Introduction; 2. Related Work; 3. A Formalism for Graph Probing; 4. Experimental Evaluation; 4.1. Graph Model; 4.2. Generating ""Random"" Collections of Web Pages; 4.3. Experiment #1: Full Graph Matching
4.4. Experiment #2: Subgraph Matching 5. Conclusions; 6. Acknowledgments; References; CHAPTER 3 WEB STRUCTURE ANALYSIS FOR INFORMATION MINING; 1. Introduction; 2. Object Model Architecture; 2.1. HTML Parsing Library; 2.2. Single-Slot HTML Parsing Functions; 2.3. Multi-Slot/Pattern HTML Parsing Functions; 3. User Interface; 4. News Article Extraction; 5. Link Extraction; 6. Stock Quote Extraction; 7. Conclusion; Acknowledgment; References; CHAPTER 4 NATURAL LANGUAGE PROCESSING FOR WEB DOCUMENT ANALYSIS; 1. Introduction; 2. Design Principles; 2.1. Why XML?; 2.2. User Orientation 2.3. Portability 3. Document Suite XDOC; 3.1. Preprocessing Module; 3.1.1. HTML Cleaner; 3.1.2. Structure Tagger; 3.1.3. POS Tagger; 3.2. Syntactic Module; 3.2.1. Syntactic Parser; 3.2.2. Phrase Detector; 3.3. Corpus Based Module; 3.4. Semantic Module; 3.4.1. Semantic Tagger; 3.4.2. Case Frame Analysis; 3.4.3. Semantic Interpretation of Syntactic Structure; 4. Related Work; 5. Conclusion; References; Part II. Document Analysis for Adaptive Content Delivery; CHAPTER 5 REFLOWABLE DOCUMENT IMAGES; 1. Introduction; 2. Image and Layout Analysis; 2.1. Text/Image Segmentation; 2.2. Preprocessing 2.3. Layout Analysis 3. HTML-Based Representations; 4. Reader Applications; 5. New Document Formats; 6. Summary and Conclusions; Acknowledgments; References; CHAPTER 6 EXTRACTION AND MANAGEMENT OF CONTENT FROM HTML DOCUMENTS; 1. Introduction; 2. Research Direction; 3. Current State of the Art; 3.1 Handcrafting; 3.2 Transcoding; 3.3 Adaptive Re-authoring; 4. Proposed Approach; 4.1. Web Page Segmentation; 4.2. Contextual Analysis and Segment Labeling; 4.3. Web-Page Summarization; 4.4. Post-processing; 4.5. Overall Summary of the Content Extraction and Display Process; 5. Results; 6. Discussion 6.1 Web Page Segmentation 6.2 Contextual Analysis and Segment Labeling; 6.3 Web-Page Summarization; 6.4. Display Capabilities; 6.5. Language Independence; 6.6. Current State of Research; 6.7. Supported Devices; 7. Concluding Remarks; References; CHAPTER 7 HTML PAGE ANALYSIS BASED ON VISUAL CUES; 1. Introduction; 1.1. Document Analysis for Search Engines; 1.2. Document Analysis for Adaptive Content Delivery; 2. Visual Similarity of HTML Objects; 2.1. Visual Similarity of Simple Objects; 2.2. Visual Similarity of Container Objects; 3. Pattern Detection and Construction of Structured Documents 3.1. Quantization |
| Record Nr. | UNINA-9910782282803321 |
| Singapore ; ; River Edge, NJ, : World Scientific, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||