Web data management: a warehouse approach
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
New York ; Berlin ; Heidelberg ; Hong Kong ; London ; Milan ; Pa
Springer
2004
|
| Schriftenreihe: | Springer professional computing
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010686493&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Literaturverz. S. 449 - 458 |
| Umfang: | XXI, 465 S. graph. Darst. : 24 cm |
| ISBN: | 0387001751 |
Internformat
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| 100 | 1 | |a Bhowmick, Sourav S. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Web data management |b a warehouse approach |c Sourav S. Bhowmick ; Sanjay K. Madria ; Wee Keong Ng |
| 264 | 1 | |a New York ; Berlin ; Heidelberg ; Hong Kong ; London ; Milan ; Pa |b Springer |c 2004 | |
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| 500 | |a Literaturverz. S. 449 - 458 | ||
| 650 | 4 | |a Bases de données - Gestion | |
| 650 | 4 | |a Bases de données sur le Web | |
| 650 | 4 | |a Entrepôts de données (Informatique) | |
| 650 | 4 | |a Data warehousing | |
| 650 | 4 | |a Database management | |
| 650 | 4 | |a Web databases | |
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| 700 | 1 | |a Ng, Wee Keong |e Verfasser |4 aut | |
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Datensatz im Suchindex
| _version_ | 1819292703054102528 |
|---|---|
| adam_text | SOURAV S. BHOWMICK SANJAY K. MADRIA
WEE KEONG NG
WEB DATA MANAGEMENT
A WAREHOUSE APPROACH
WITH 106 ILLUSTRATIONS
SPRINGER
CONTENTS
PREFAC
E
VII
1 INTRODUCTIO
N
1
1.1 MOTIVATION 2
1.1.1 PROBLEMS WITH WEB DAT
A 2
1.1.2 LIMITATIONS OF SEARCH ENGINES 5
1.1.3 LIMITATIONS OF TRADITIONAL DAT
A WAREHOUSE 7
1.1.4 WAREHOUSING TH
E WEB 10
1.2 ARCHITECTURE AND FUNCTIONALITIES 11
1.2.1 SCOPE OF THIS BOOK 13
1.3 RESEARCH ISSUES 14
1.4 CONTRIBUTIONS OF TH
E BOOK 15
2 A SURVE
Y OF WE
B DAT
A MANAGEMEN
T SYSTEM
S
17
2.1 WEB QUERY SYSTEMS 18
2.1.1 SEARCH ENGINES 18
2.1.2 METASEARCH ENGINES 20
2.1.3 W3QS 21
2.1.4 WEBSQL 27
2.1.5 WEBLOG 28
2.1.6 NETQL..
. 30
2.1.7 FLORID 32
2.1.8 RAW 35
2.2 WEB INFORMATION INTEGRATION SYSTEMS 35
2.2.1 INFORMATION MANIFOLD 36
2.2.2 TSIMMIS 37
2.2.3 ARIADNE 39
2.2.4 WHIRL 40
2.3 WEB DAT
A RESTRUCTURING 40
2.3.1 STRUDEL 41
2.3.2 WEBOQL . 44
2.3.3 ARANEUS 45
CONTENTS
2.4 SEMISTRUCTURED DAT
A 47
2.4.1 LORE 47
2.4.2 UNQL 50
2.5 XML QUERY LANGUAGES 50
2.5.1 LOREL 52
2.5.2 XML-QL 56
2.6 SUMMARY 61
NOD
E AN
D LINK OBJECT
S
65
3.1 INTRODUCTION 65
3.1.1 MOTIVATION 65
3.1.2 OUR APPROACH - AN OVERVIEW OF WAREHOUSE OBJECT MODEL
(WHOM) 69
3.2 REPRESENTING METADATA OF WEB DOCUMENTS AND HYPERLINKS 69
3.2.1 METADATA ASSOCIATED WITH HTML AND XML DOCUMENTS 69
3.2.2 NODE METADATA ATTRIBUTES 70
3.2.3 LINK METADATA ATTRIBUTES 70
3.3 REPRESENTING STRUCTURE AND CONTENT OF WEB DOCUMENTS 70
3.3.1 ISSUES FOR MODELING STRUCTURE AND CONTENT 72
3.3.2 NODE STRUCTURAL ATTRIBUTES 74
3.3.3 LOCATION ATTRIBUTES 79
3.4 REPRESENTING STRUCTURE AND CONTENT OF HYPERLINKS 80
3.4.1 ISSUES FOR MODELING HYPERLINKS 81
3.4.2 LINK STRUCTURAL ATTRIBUTES 82
3.4.3 REFERENCE IDENTIFIER 82
3.5 NODE AND LINK OBJECTS 84
3.6 NODE AND LINK STRUCTURE TREES 84
3.7 RECENT APPROACHES IN MODELING WEB DATA 87
3.7.1 SEMISTRUCTURED DATA MODELING 88
3.7.2 WEB DAT
A MODELING 89
3.7.3 XML DAT
A MODELING 89
3.7.4 OPEN HYPERMEDIA SYSTEM 90
3.8 SUMMARY 91
PREDICATE
S O
N NOD
E AND LINK OBJECT
S
93
4.1 INTRODUCTION 94
4.1.1 FEATURES OF PREDICATE 96
4.1.2 OVERVIEW OF PREDICATES 97
4.2 COMPONENTS OF COMPARISON-FREE PREDICATES 100
4.2.1 ATTRIBUTE PAT
H EXPRESSIONS 101
4.2.2 PREDICATE QUALIFIER 105
4.2.3 VALUE OF A COMPARISON-FREE PREDICATE 106
4.2.4 PREDICATE OPERATORS 109
4.3 COMPARISON PREDICATES 114
4.3.1 COMPONENTS OF A COMPARISON PREDICATE 115
4.3.2 TYPES OF COMPARISON PREDICATES 117
CONTENTS XVII
4.4 SUMMARY 125
IMPOSIN
G CONSTRAINT
S O
N HYPERLIN
K STRUCTURE
S
127
5.1 INTRODUCTION 127
5.1.1 OVERVIEW 129
5.1.2 DIFFICULTIES IN MODELING CONNECTIVITIES 129
5.1.3 FEATURES OF CONNECTIVITIES 132
5.2 COMPONENTS OF CONNECTIVITIES 133
5.2.1 SOURCE AND TARGET IDENTIFIERS 134
5.2.2 LINK PAT
H EXPRESSIONS 134
5.3 TYPES OF CONNECTIVITIES 135
5.3.1 SIMPLE CONNECTIVITIES 135
5.3.2 COMPLEX CONNECTIVITIES 135
5.4 TRANSFORMATION OF COMPLEX CONNECTIVITIES 136
5.4.1 TRANSFORMATION OF CASE 1 136
5.4.2 TRANSFORMATION OF CASE 2 137
5.4.3 TRANSFORMATION OF CASE 3 138
5.4.4 TRANSFORMATION OF CASE 4 139
5.4.5 STEPS FOR TRANSFORMATION 139
5.4.6 GRAPHICAL VISUALIZATION OF A CONNECTIVITY 141
5.5 CONFORMITY CONDITIONS 141
5.5.1 SIMPLE CONNECTIVITIES 141
5.5.2 COMPLEX CONNECTIVITIES 142
5.6 SUMMARY 142
QUERY MECHANIS
M FOR TH
E WE
B
145
6.1 INTRODUCTION 145
6.1.1 MOTIVATION 145
6.1.2 OUR APPROACH 149
6.2 COUPLING QUERY 154
6.2.1 THE INFORMATION SPACE 154
6.2.2 COMPONENTS 155
6.2.3 DEFINITION OF COUPLING QUERY 166
6.2.4 TYPES OF COUPLING QUERY 169
6.2.5 VALID CANONICAL COUPLING QUERY 170
6.3 EXAMPLES OF COUPLING QUERIES 172
6.3.1 NONCANONICAL COUPLING QUERY 173
6.3.2 CANONICAL COUPLING QUERY 179
6.4 VALID CANONICAL QUERY GENERATION 181
6.4.1 OUTLINE 181
6.4.2 PHASE 1: COUPLING QUERY REDUCTION 182
6.4.3 PHASE 2: VALIDITY CHECKING 189
6.5 COUPLING QUERY FORMULATION 190
6.5.1 DEFINITION OF COUPLING GRAPH 190
6.5.2 TYPES OF COUPLING GRAPH 191
6.5.3 LIMITATIONS OF COUPLING GRAPHS 194
XVIII CONTENTS
6.5.4 HYBRID GRAPH 198
6.6 COUPLING QUERY RESULTS 200
6.7 COMPUTABILITY OF VALID COUPLING QUERIES 201
6.7.1 BROWSER AND BROWSE/SEARCH COUPLING QUERIES 202
6.8 RECENT APPROACHES FOR QUERYING THE WEB 203
6.9 SUMMARY 205
7 SCHEMAS FOR WAREHOUSE DAT
A
207
7.1 PRELIMINARIES 208
7.1.1 RECENT APPROACHES FOR MODELING SCHEMA FOR WEB DATA ...
. 208
7.1.2 FEATURES OF OUR WEB SCHEMA 210
7.1.3 SUMMARY OF OUR METHODOLOGY 212
7.1.4 IMPORTANCE OF WEB SCHEMA IN A WEB WAREHOUSE 213
7.2 WEB SCHEMA 214
7.2.1 DEFINITION 214
7.2.2 TYPES OF WEB SCHEMA 216
7.2.3 SCHEMA CONFORMITY 217
7.2.4 WEB TABLE 219
7.3 GENERATION OF SIMPLE WEB SCHEMA SET FROM COUPLING QUERY 221
7.4 PHASE 1: VALID CANONICAL COUPLING QUERY T
O SCHEMA TRANSFORMATION221
7.4.1 SCHEMA FROM QUERY CONTAINING SCHEMA-INDEPENDENT
PREDICATES 222
7.4.2 SCHEMA FROM QUERY CONTAINING SCHEMA-INFLUENCING
PREDICATES 223
7.5 PHASE 2: COMPLEX SCHEMA DECOMPOSITION 225
7.5.1 MOTIVATION 225
7.5.2 DISCUSSION 226
7.5.3 LIMITATIONS 227
7.6 PHASE 3: SCHEMA PRUNING 228
7.6.1 MOTIVATION 228
7.6.2 CLASSIFICATIONS OF SIMPLE SCHEMAS 228
7.6.3 SCHEMA PRUNING PROCESS 231
7.6.4 PHASE 1: PREPROCESSING PHASE 232
7.6.5 PHASE 2: MATCHING PHASE 233
7.6.6 PHASE 3: NONOVERLAPPING PARTITIONING PHASE 233
7.7 ALGORITHM SCHEMA GENERATOR 236
7.7.1 PRUNING RATIO 237
7.7.2 ALGORITHM OF GENERATESCHEMAFROMQUERY 238
7.7.3 ALGORITHM FOR THE CONSTRUCT PARTITIO
N 240
7.8 WEB SCHEMA GENERATION IN LOCAL OPERATIONS 246
7.8.1 SCHEMA GENERATION PHASE 246
7.8.2 SCHEMA PRUNING PHASE 248
7.9 SUMMARY 249
CONTENTS XIX
WHOM-ALGEBR
A
251
8.1 TYPES OF MANIPULATION 251
8.2 GLOBAL WEB COUPLING 252
8.2.1 DEFINITION 252
8.2.2 GLOBAL WEB COUPLING OPERATION 253
8.2.3 WEB TUPLES GENERATION PHASE 254
8.2.4 LIMITATIONS 257
8.3 WEB SELECT 259
8.3.1 SELECTION CRITERIA 259
8.3.2 WEB SELECT OPERATOR 260
8.3.3 SIMPLE WEB SCHEMA SET 260
8.3.4 SELECTION SCHEMA 261
8.3.5 SELECTION CONDITION CONFORMITY 265
8.3.6 SELECT TABLE GENERATION 265
8.4 WEB PROJECT 273
8.4.1 DEFINITION 273
8.4.2 PROJECTION ATTRIBUTES 273
8.4.3 ALGORITHM FOR WEB PROJECT 278
8.5 WEB DISTINCT 287
8.6 WEB CARTESIAN PRODUCT 288
8.7 WEB JOIN 289
8.7.1 MOTIVATION AND OVERVIEW 289
8.7.2 CONCEPT OF WEB JOIN 291
8.7.3 JOIN EXISTENCE PHASE 304
8.7.4 JOIN CONSTRUCTION PHASE WHEN
X
PJ
^ 0 315
8.7.5 JOINED PARTITION PRUNING 327
8.7.6 JOIN CONSTRUCTION PHASE WHEN
XJ
= 0 330
8.8 DERIVATIVES OF WEB JOIN 338
8.8.1
A-
WEB JOIN 338
8.8.2 OUTER WEB JOIN 344
8.9 WEB UNION 350
8.10 SUMMARY 351
WEB DAT
A VISUALIZATIO
N
353
9.1 WEB DATA VISUALIZATION OPERATORS 355
9.1.1 WEB NEST 355
9.1.2 WEB UNNEST 356
9.1.3 WEB COALESCE 357
9.1.4 WEB EXPAND 359
9.1.5 WEB PACK 360
9.1.6 WEB UNPACK 362
9.1.7 WEB SORT 364
9.2 SUMMARY 365
XX CONTENTS
1
0 DETECTIN
G AN
D REPRESENTIN
G RELEVAN
T WE
B DELTA
S
367
10.1 INTRODUCTIO
N 367
10.1.1 OVERVIEW 368
10.2 RELATE
D WORK 369
10.3 CHANG
E DETECTIO
N PROBLE
M 371
10.3.1 PROBLE
M DEFINITION 371
10.3.2 TYPE
S OF CHANGE
S 372
10.3.3 REPRESENTIN
G CHANGE
S 372
10.3.4 DECOMPOSITIO
N OF CHANG
E DETECTIO
N PROBLE
M 374
10.4 GENERATIN
G DELT
A WEB TABLE
S 374
10.4.1 STORAG
E OF WEB OBJECT
S 374
10.4.2 OUTLIN
E OF TH
E ALGORITH
M 375
10.4.3 ALGORITH
M DELTA 379
10.5 CONCLUSIONS AN
D FUTUR
E WORK 387
1
1 KNOWLEDG
E DISCOVER
Y USIN
G WE
B BAG
S
389
11.1 INTRODUCTIO
N 389
11.1.1 MOTIVATIO
N 390
11.1.2 OVERVIEW 391
11.2 RELATE
D WORK 392
11.2.1 PAGERAN
K 393
11.2.2 MUTUA
L REINFORCEMENT APPROAC
H 393
11.2.3 RAFIEI AN
D MENDELZON
S APPROAC
H 394
11.2.4 SALSA 395
11.2.5 APPROAC
H OF BORODI
N E
T AL 396
11.3 CONCEP
T OF WEB BA
G 397
11.4 KNOWLEDGE DISCOVERY USING WEB BAG
S 399
11.4.1 TERMINOLOGY 399
11.4.2 VISIBILITY OF WEB DOCUMENT
S AN
D INTERSIT
E CONNECTIVIT
Y ...
. 400
11.4.3 LUMINOSIT
Y OF WEB DOCUMENT
S 406
11.4.4 LUMINOU
S PATH
S 408
11.4.5 QUER
Y LANGUAG
E DESIGN CONSIDERATION
S 413
11.4.6 QUER
Y LANGUAG
E FOR KNOWLEDGE DISCOVERY 414
11.5 CONCLUSIONS AN
D FUTUR
E WORK 415
1
2 TH
E ROA
D AHEA
D
417
12.1 SUMMAR
Y OF TH
E BOOK 417
12.2 CONTRIBUTION
S OF TH
E BOOK 420
12.3 EXTENDIN
G COUPLING QUERIES AN
D GLOBA
L WEB COUPLIN
G OPERATIO
N . 420
12.4 OPTIMIZIN
G SIZE OF SIMPLE SCHEMA SET 421
12.5 EXTENSIO
N OF TH
E WEB ALGEBR
A 421
12.5.1 SCHEMA OPERATOR
S 422
12.5.2 WE
B CORRELAT
E 424
12.5.3 WE
B RANKIN
G OPERATO
R 424
12.5.4 OPERATOR
S FOR MANIPULATIO
N A
T SUBPAG
E LEVEL 424
12.6 MAINTENANC
E OF TH
E WE
B WAREHOUS
E 425
CONTENTS XXI
12.7 RETRIEVING AND MANIPULATING DATA FROM THE HIDDEN WEB 425
12.8 DAT
A MINING IN THE WEB WAREHOUSE 426
12.9 CONCLUSIONS 427
A TABLE OF SYMBOLS 429
B REGULAR EXPRESSIONS IN COMPARISON-FREE PREDICATE VALUES 431
C EXAMPLES OF COMPARISON-FREE PREDICATES 436
D EXAMPLES OF COMPARISON OPERATORS 443
E NODES AND LINKS 445
REFERENCES
449
INDEX
459
|
| any_adam_object | 1 |
| author | Bhowmick, Sourav S. Madria, Sanjay Kumar Ng, Wee Keong |
| author_GND | (DE-588)1075565731 |
| author_facet | Bhowmick, Sourav S. Madria, Sanjay Kumar Ng, Wee Keong |
| author_role | aut aut aut |
| author_sort | Bhowmick, Sourav S. |
| author_variant | s s b ss ssb s k m sk skm w k n wk wkn |
| building | Verbundindex |
| bvnumber | BV017798343 |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.9.W43 |
| callnumber-search | QA76.9.W43 |
| callnumber-sort | QA 276.9 W43 |
| callnumber-subject | QA - Mathematics |
| ctrlnum | (OCoLC)52121498 (DE-599)BVBBV017798343 |
| dewey-full | 005.75/8 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.75/8 |
| dewey-search | 005.75/8 |
| dewey-sort | 15.75 18 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV017798343 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T11:23:12Z |
| institution | BVB |
| isbn | 0387001751 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-010686493 |
| oclc_num | 52121498 |
| open_access_boolean | |
| owner | DE-20 |
| owner_facet | DE-20 |
| physical | XXI, 465 S. graph. Darst. : 24 cm |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | Springer |
| record_format | marc |
| series2 | Springer professional computing |
| spellingShingle | Bhowmick, Sourav S. Madria, Sanjay Kumar Ng, Wee Keong Web data management a warehouse approach Bases de données - Gestion Bases de données sur le Web Entrepôts de données (Informatique) Data warehousing Database management Web databases Data-Warehouse-Konzept (DE-588)4406462-7 gnd World Wide Web (DE-588)4363898-3 gnd Datenbanksystem (DE-588)4113276-2 gnd |
| subject_GND | (DE-588)4406462-7 (DE-588)4363898-3 (DE-588)4113276-2 |
| title | Web data management a warehouse approach |
| title_auth | Web data management a warehouse approach |
| title_exact_search | Web data management a warehouse approach |
| title_full | Web data management a warehouse approach Sourav S. Bhowmick ; Sanjay K. Madria ; Wee Keong Ng |
| title_fullStr | Web data management a warehouse approach Sourav S. Bhowmick ; Sanjay K. Madria ; Wee Keong Ng |
| title_full_unstemmed | Web data management a warehouse approach Sourav S. Bhowmick ; Sanjay K. Madria ; Wee Keong Ng |
| title_short | Web data management |
| title_sort | web data management a warehouse approach |
| title_sub | a warehouse approach |
| topic | Bases de données - Gestion Bases de données sur le Web Entrepôts de données (Informatique) Data warehousing Database management Web databases Data-Warehouse-Konzept (DE-588)4406462-7 gnd World Wide Web (DE-588)4363898-3 gnd Datenbanksystem (DE-588)4113276-2 gnd |
| topic_facet | Bases de données - Gestion Bases de données sur le Web Entrepôts de données (Informatique) Data warehousing Database management Web databases Data-Warehouse-Konzept World Wide Web Datenbanksystem |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010686493&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT bhowmicksouravs webdatamanagementawarehouseapproach AT madriasanjaykumar webdatamanagementawarehouseapproach AT ngweekeong webdatamanagementawarehouseapproach |