Information retrieval systems: theory and implementation
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston [u.a.]
Kluwer Acad. Publ.
1998
|
| Ausgabe: | 2. print. |
| Schriftenreihe: | The Kluwer international series on information retrieval
1 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XIII, 282 S. Ill., graph. Darst. |
| ISBN: | 0792399269 |
Internformat
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| 245 | 1 | 0 | |a Information retrieval systems |b theory and implementation |c by Gerald Kowalski |
| 250 | |a 2. print. | ||
| 264 | 1 | |a Boston [u.a.] |b Kluwer Acad. Publ. |c 1998 | |
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Datensatz im Suchindex
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| adam_text | CONTENTS
Preface xi
1 Introduction to Information Processing Systems 1
1.1 Definition of Information Retrieval System 2
1.2 Objectives of Information Retrieval Systems 3
1.3 Functional Overview 9
1.3.1 Item Normalization 9
1.3.2 Selective Dissemination of Information 15
1.3.3 Document Database Search 16
1.3.4 Index Database Search 17
1.4 Relationship to Database Management System 18
1.5 Digital Libraries and Data Warehouses 19
1.6 Summary 21
2 Information Retrieval System Capabilities 25
2.1 Search Capabilities 26
2.1.1 Boolean Logic 27
2.1.2 Proximity 28
2.1.3 Contiguous Word Phrases 29
2.1.4 Fuzzy Searches 30
2.1.5 Term Masking 30
2.1.6 Numeric and Date Ranges 31
2.1.7 Concept and Thesaurus Expansions 32
2.1.8 Natural Language Queries 34
2.2 Browse Capabilities 35
2.1.1 Ranking 36
2.1.2 Zoning 37
2.1.3 Highlighting 37
2.3 Miscellaoeous Capabilities 38
2.3.1 Vocabulary Browse 38
2.3.2 Iterative Search and Search History Logs 39
2.3.3 Canned Query 39
2.4 Standards 40
2.4.1 Z39.50 Standard and WAIS 41
2.4.2 Architecture Standards 43
2.5 Summary 44
3. Cataloging and Indexing 47
3.1 History and Objectives of Indexing 48
3.1.1 History 48
3.1.2 Objectives 49
3.2 Indexing Process 52
VÜ
3.2.1 Scopeof Indexing 52
3.2.2 Precoordination and Linkages 53
3.3 Automatic Indexing 54
3.3.1 Indexing by Term 57
3.3.2 Indexing by Concept 59
3.4 Information Extraction 60
3.5 Summary 63
4. Data Structures 65
4.1 Introduction to Data Structure 65
4.2 Stemming Algorithms 67
4.1.1 Introduction to the Stemming Process 67
4.1.2 Porter Algorithm 69
4.1.3 Dictionary Look-up Stemmers 71
4.1.4 Successor Stemmers 72
4.1.5 Conclusions 74
4.3 Inverted File Structure 76
4.4 N-Gram Data Structure TO
4.4.1 History 80
4.4.2 N-Gram Architecture 81
4.5 PAT Data Structure 83
4.6 Signatare File Structure 87
4.7 Hypertext Data Structure 88
4.7.1 Definition of Hypertext Structure 89
4.7.2 Hypertext History 91
4.8 Summary 92
5. Automatic Indexing 95
5.1 Classesof Automatic Indexing 95
5.2 Statistical Indexing 98
5.2.1 Probabilistic Weighting 98
5.2.2 Vector Weighting 101
5.2.2.1 Simple Term Frequency Algorithm 103
5.2.2.2 Inverse Document Frequency 104
5.2.2.3 Signal Weighting 105
5.2.2.4 Discrimination Value 107
5.2.2.5 Problems With Weighting Scheines 108
5.2.2.6 Problems With the Vector Model 109
5.2.3 Baysean Model 110
5.3 Natural Language 111
5.3.1 Index Phrase Generation 113
5.3.2 Natural Language Processing 116
5.4 Concept Indexing 118
5.5 Hypertext Linkages 120
5.6 Summary 122
6. Document and Term Clustering 125
6.1 Introduction to Clustering 126
6.2 Thesaurus Generation 129
6.2.1 Manual Clustering 129
6.2.2 Automatic Term Clustering 131
6.2.2.1 Complete Term Relation Method 131 :
6.2.2.2 Clustering Using Existing Clusters 137 !
VÜi |
6.2.2.3 One Pass Assignrnents 139
6.3 Item Clustering 140
6.4 HierarchyofClusters 142
6.5 Summary 145
7. User Search Techniques 149
7.1 Search Statements and Binding 150
7.2 Similarity Measures and Ranking 151
7.2.1 Similarity Measures 152
7.2.2 Ranlang Algorithms 157
7.3 Relevance Feedback 158
7.4 Selective Dissemination of Information Search 162
7.5 Weighted Searches of Boolean Systems 169
7.6 Searching the Internet and Hypertext 174
7.7 Summary 177
8. Information Visualization isi
8.1 Introduction to Information Visualizalion 182
8.2 Cognition and Perception 185
8.2.1 Background 186
8.2.2 Aspects of Visualization Process 187
8.3 Information Visualization Technologies 190
8.4 Summary 200
9. Text Search Algorithms 2o3
9.1 Introduction to Text Search Techniques 203
9.2 Software Text Search Algorithms 20?
9.3 Hardware Text Search Systems 216
9.4 Summary 220
10. Information System Evaluation 223
10.1 Introduction to Information System Evaluation 224
10.2 Measures Used in System Evaluation^ 226
10.3 Measuremem Exaniple - TREC Resuits 233
10.4 Summary 244
References 247
Indexes
Author Index 273
Subject Index 277
|
| adam_txt |
CONTENTS
Preface xi
1 Introduction to Information Processing Systems 1
1.1 Definition of Information Retrieval System 2
1.2 Objectives of Information Retrieval Systems 3
1.3 Functional Overview 9
1.3.1 Item Normalization 9
1.3.2 Selective Dissemination of Information 15
1.3.3 Document Database Search 16
1.3.4 Index Database Search 17
1.4 Relationship to Database Management System 18
1.5 Digital Libraries and Data Warehouses 19
1.6 Summary 21
2 Information Retrieval System Capabilities 25
2.1 Search Capabilities 26
2.1.1 Boolean Logic 27
2.1.2 Proximity 28
2.1.3 Contiguous Word Phrases 29
2.1.4 Fuzzy Searches 30
2.1.5 Term Masking 30
2.1.6 Numeric and Date Ranges 31
2.1.7 Concept and Thesaurus Expansions 32
2.1.8 Natural Language Queries 34
2.2 Browse Capabilities 35
2.1.1 Ranking 36
2.1.2 Zoning 37
2.1.3 Highlighting 37
2.3 Miscellaoeous Capabilities 38
2.3.1 Vocabulary Browse 38
2.3.2 Iterative Search and Search History Logs 39
2.3.3 Canned Query 39
2.4 Standards 40
2.4.1 Z39.50 Standard and WAIS 41
2.4.2 Architecture Standards 43
2.5 Summary 44
3. Cataloging and Indexing 47
3.1 History and Objectives of Indexing 48
3.1.1 History 48
3.1.2 Objectives 49
3.2 Indexing Process 52
VÜ
3.2.1 Scopeof Indexing 52
3.2.2 Precoordination and Linkages 53
3.3 Automatic Indexing 54
3.3.1 Indexing by Term 57
3.3.2 Indexing by Concept 59
3.4 Information Extraction 60
3.5 Summary 63
4. Data Structures 65
4.1 Introduction to Data Structure 65
4.2 Stemming Algorithms 67
4.1.1 Introduction to the Stemming Process 67
4.1.2 Porter Algorithm 69
4.1.3 Dictionary Look-up Stemmers 71
4.1.4 Successor Stemmers 72
4.1.5 Conclusions 74
4.3 Inverted File Structure 76
4.4 N-Gram Data Structure TO
4.4.1 History 80
4.4.2 N-Gram Architecture 81
4.5 PAT Data Structure 83
4.6 Signatare File Structure 87
4.7 Hypertext Data Structure 88
4.7.1 Definition of Hypertext Structure 89
4.7.2 Hypertext History 91
4.8 Summary 92
5. Automatic Indexing 95
5.1 Classesof Automatic Indexing 95
5.2 Statistical Indexing 98
5.2.1 Probabilistic Weighting 98
5.2.2 Vector Weighting 101
5.2.2.1 Simple Term Frequency Algorithm 103
5.2.2.2 Inverse Document Frequency 104
5.2.2.3 Signal Weighting 105
5.2.2.4 Discrimination Value 107
5.2.2.5 Problems With Weighting Scheines 108
5.2.2.6 Problems With the Vector Model 109
5.2.3 Baysean Model 110
5.3 Natural Language 111
5.3.1 Index Phrase Generation 113
5.3.2 Natural Language Processing 116
5.4 Concept Indexing 118
5.5 Hypertext Linkages 120
5.6 Summary 122
6. Document and Term Clustering 125
6.1 Introduction to Clustering 126
6.2 Thesaurus Generation 129
6.2.1 Manual Clustering 129
6.2.2 Automatic Term Clustering 131
6.2.2.1 Complete Term Relation Method 131 :
6.2.2.2 Clustering Using Existing Clusters 137 !
VÜi |
6.2.2.3 One Pass Assignrnents 139
6.3 Item Clustering 140
6.4 HierarchyofClusters 142
6.5 Summary 145
7. User Search Techniques 149
7.1 Search Statements and Binding 150
7.2 Similarity Measures and Ranking 151
7.2.1 Similarity Measures 152
7.2.2 Ranlang Algorithms 157
7.3 Relevance Feedback 158
7.4 Selective Dissemination of Information Search 162
7.5 Weighted Searches of Boolean Systems 169
7.6 Searching the Internet and Hypertext 174
7.7 Summary 177
8. Information Visualization isi
8.1 Introduction to Information Visualizalion 182
8.2 Cognition and Perception 185
8.2.1 Background 186
8.2.2 Aspects of Visualization Process 187
8.3 Information Visualization Technologies 190
8.4 Summary 200
9. Text Search Algorithms 2o3
9.1 Introduction to Text Search Techniques 203
9.2 Software Text Search Algorithms 20?
9.3 Hardware Text Search Systems 216
9.4 Summary 220
10. Information System Evaluation 223
10.1 Introduction to Information System Evaluation 224
10.2 Measures Used in System Evaluation^ 226
10.3 Measuremem Exaniple - TREC Resuits 233
10.4 Summary 244
References 247
Indexes
Author Index 273
Subject Index 277 |
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| illustrated | Illustrated |
| index_date | 2024-07-02T22:39:14Z |
| indexdate | 2024-07-09T21:24:41Z |
| institution | BVB |
| isbn | 0792399269 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016884352 |
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| publishDate | 1998 |
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| series | The Kluwer international series on information retrieval |
| series2 | The Kluwer international series on information retrieval |
| spelling | Kowalski, Gerald Verfasser aut Information retrieval systems theory and implementation by Gerald Kowalski 2. print. Boston [u.a.] Kluwer Acad. Publ. 1998 XIII, 282 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier The Kluwer international series on information retrieval 1 Database management Information storage and retrieval systems Information Retrieval (DE-588)4072803-1 gnd rswk-swf Information Retrieval (DE-588)4072803-1 s DE-604 The Kluwer international series on information retrieval 1 (DE-604)BV011555884 1 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016884352&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| subject_GND | (DE-588)4072803-1 |
| title | Information retrieval systems theory and implementation |
| title_auth | Information retrieval systems theory and implementation |
| title_exact_search | Information retrieval systems theory and implementation |
| title_exact_search_txtP | Information retrieval systems theory and implementation |
| title_full | Information retrieval systems theory and implementation by Gerald Kowalski |
| title_fullStr | Information retrieval systems theory and implementation by Gerald Kowalski |
| title_full_unstemmed | Information retrieval systems theory and implementation by Gerald Kowalski |
| title_short | Information retrieval systems |
| title_sort | information retrieval systems theory and implementation |
| title_sub | theory and implementation |
| topic | Database management Information storage and retrieval systems Information Retrieval (DE-588)4072803-1 gnd |
| topic_facet | Database management Information storage and retrieval systems Information Retrieval |
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