Data management and query processing in semantic web databases:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin [u.a.]
Springer
2011
|
| Subjects: | |
| Links: | http://deposit.dnb.de/cgi-bin/dokserv?id=3672071&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024137644&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Item Description: | Literaturangaben |
| Physical Description: | IX, 270 S. graph. Darst. 24 cm |
| ISBN: | 9783642193569 3642193560 |
Staff View
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Record in the Search Index
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|---|---|
| adam_text | IMAGE 1
CONTENTS
1 INTRODUCTION 1
1.1 MAIN TARGET GROUP OF THE BOOK 2
1.2 PREREQUISITES NEEDED TO UNDERSTAND THE BOOK 3
1.3 CONTENT 3
1.4 LOGICAL ORGANIZATION OF THE BOOK 4
1.5 STRUCTURE OF THE CHAPTERS AND BOOK WEBPAGE 4
2 SEMANTIC WEB 7
2.1 INTRODUCTION 7
2.2 OVERVIEW 8
2.3 RDFDATA 9
2.3.1 N3 NOTATION 11
2.3.2 RDF/XML 13
2.4 ONTOLOGY LANGUAGES 13
2.5 OPEN WORLD ASSUMPTION 16
2.6 NO UNIQUE NAME ASSUMPTION 17
2.7 SPARQL QUERY LANGUAGE 17
2.7.1 LANGUAGE CONSTRUCTS OF SPARQL 18
2.7.2 SPARQL PROTOCOL FOR RDF 24
2.7.3 SPARQL QUERY RESULTS XML FORMAT 26
2.7.4 RDFSTORES 27
2.8 RULES 28
2.9 RELATED WORK 31
2.9.1 RIF PROCESSING 31
2.9.2 OPTIMIZATIONS FOR RECURSIVE RULES 33
2.10 SUMMARY AND CONCLUSIONS 34
3 EXTERNAL SORTING AND B + -TREES 35
3.1 MOTIVATION 35
3.2 B + -TREES 36
3.2.1 PROPERTIES OF B + -TREES 37
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1010119516
DIGITALISIERT DURCH
IMAGE 2
VI CONTENTS
3.2.2 SELF-BALANCING PROPERTY OF B + -TREES 38
3.2.3 SEARCHING 39
3.2.4 PREFIX SEARCH IN COMBINATION WITH SIDEWAYS INFORMATION PASSING 39
3.2.5 INSERTING 41
3.2.6 DELETING 43
3.2.7 B + -TREE CONSTRUCTION FROM A LARGE DATASET 45
3.3 HEAP 45
3.4 (EXTERNAL) MERGE SORT 47
3.5 REPLACEMENT SELECTION 48
3.6 EXTERNAL CHUNKS MERGE SORT 50
3.7 DISTRIBUTION SORT 52
3.8 RDF DISTRIBUTION SORT 53
3.9 EXPERIMENTAL ANALYSIS 56
3.9.1 SP 2 B DATASET 57
3.9.2 YAGO DATASET 58
3.10 SUMMARY AND CONCLUSIONS 63
4 QUERY PROCESSING OVERVIEW 67
4.1 THE LUPOSDATE SYSTEM 67
4.2 PHASES OF QUERY PROCESSING 69
4.3 CORESPARQL 73
4.3.1 DEFINING CORESPARQL 73
4.3.2 TRANSFORMING SPARQL QUERIES INTO CORESPARQL QUERIES 74
4.3.3 CORESPARQL GRAMMAR 77
4.4 RELATEDWORK 78
4.5 SUMMARY AND CONCLUSIONS 78
5 LOGICAL OPTIMIZATION 79
5.1 LOGICAL ALGEBRA 79
5.1.1 SEMANTICS OF THE LOGICAL ALGEBRA OPERATORS 81
5.2 LOGICAL OPTIMIZATION RULES 85
5.2.1 PUSHING FILTER OPERATORS 85
5.2.2 SPLITTING AND COMMUTATIVITY OF FILTER OPERATORS 87 5.2.3 CONSTANT
AND VARIABLE PROPAGATION 87
5.2.4 HEURISTIC QUERY OPTIMIZATION USING EQUIVALENCY RULES 89 5.2.5
COST-BASED OPTIMIZATION 90
5.2.6 HISTOGRAMS 99
5.3 FURTHER RELATED WORK 101
5.4 SUMMARY AND CONCLUSIONS 101
6 PHYSICAL OPTIMIZATION 103
6.1 MOTIVATION 104
6.2 RELATED WORK 106
IMAGE 3
CONTENTS VII
6.3 INDEXING 108
6.3.1 BUILDING IN-MEMORY INDICES 109
6.3.2 BUILDING DISK-BASED INDICES 110
6.4 PIPELINING VERSUS MATERIALIZATION 116
6.4.1 PIPELINE-BREAKER 116
6.4.2 SIDEWAYS INFORMATION PASSING 116
6.5 JOIN ALGORITHMS 117
6.5.1 NESTED-LOOP JOIN 117
6.5.2 MERGE JOIN 120
6.5.3 INDEXJOIN 122
6.5.4 HASHJOIN 123
6.6 DYNAMICALLY RESTRICTING TRIPLE PATTERNS 126
6.7 SORTING NUMBERING SCHEME 129
6.7.1 JOINS WITHOUT PRESORTING NUMBERS 129
6.7.2 JOINS WITH PRESORTING NUMBERS 131
6.7.3 OPTIMIZATION OF FAST SORTING 132
6.7.4 SORTING FOR COMPLEX JOINS 132
6.7.5 ADDITIONAL BENEFITS FROM SIP STRATEGIES 135
6.8 OPTIONAL 136
6.8.1 MERGEOPTIONAL 136
6.9 DUPLICATE ELIMINATION 137
6.9.1 DUPLICATE ELIMINATION USING HASHING 137
6.9.2 DUPLICATE ELIMINATION USING SORTING 138
6.9.3 DUPLICATE ELIMINATION USING PRESORTING NUMBERS 138 6.10 COSTMODEL
138
6.11 PERFORMANCE EVALUATION 139
6.11.1 PERFORMANCE EVALUATION FOR IN-MEMORY DATABASES 139 6.11.2
PERFORMANCE EVALUATION FOR LARGE-SCALE DATASETS 145 6.12 SUMMARY AND
CONCLUSIONS 152
7 STREAMS 155
7.1 INTRODUCTION 155
7.2 EBAY 156
7.3 MONITORING EBAY AUCTIONS 157
7.3.1 MONITORING SYSTEM 157
7.3.2 DEMONSTRATION 158
7.3.3 STREAMING SPARQL ENGINE 159
7.4 SPECIAL OPERATORS FOR STREAM PROCESSING 160
7.4.1 TYPES OF STREAM OPERATORS 160
7.4.2 TYPES OF WINDOW OPERATORS 161
7.5 RELATEDWORK 161
7.5.1 DATA STREAMS IN GENERAL 161
7.5.2 SEMANTIC WEB DATA STREAMS 162
7.6 SUMMARY AND CONCLUSIONS 162
IMAGE 4
VIII CONTENTS
8 PARALLEL DATABASES 163
8.1 MOTIVATION 163
8.2 TYPES OF PARALLELISMS 165
8.3 AMDAHL S LAW 167
8.4 PARALLEL MONITORS AND BOUNDED BUFFERS 168
8.5 PARALLEL JOIN USING A DISTRIBUTION THREAD 168
8.6 PARALLEL MERGE JOIN USING PARTITIONED INPUT 169
8.7 PARALLEL COMPUTATION OF OPERANDS 172
8.8 PERFORMANCE EVALUATION 173
8.9 PERFORMANCE GAINS AND LOSS 175
8.10 SUMMARY AND CONCLUSIONS 175
9 INFERENCE 177
9.1 INTRODUCTION 177
9.2 RDF SCHEMA INFERENCE RULES 178
9.3 MATERIALIZATION OF INFERENCE AND CONSEQUENCES FOR QUERY OPTIMIZATION
179
9.4 LOGICAL OPTIMIZATION FOR INFERENCE 180
9.5 PERFORMANCE ANALYSIS 187
9.6 RELATEDWORK 189
9.7 SUMMARY AND CONCLUSIONS 189
10 VISUAL QUERY LANGUAGES 191
10.1 MOTIVATION 191
10.2 RELATEDWORK 193
10.3 RDF VISUAL EDITOR 194
10.4 SPARQL VISUAL EDITOR 194
10.5 BROWSER-LIKE QUERY CREATION 194
10.6 GENERATING CONDENSED DATA VIEW 196
10.7 REFINING QUERIES 197
10.8 QUERY FORMULATION DEMO 198
10.9 COMPUTATION OF SUGGESTED TRIPLE PATTERNS FOR QUERY REFINEMENT 199
10.10 SUMMARY AND CONCLUSIONS 201
11 EMBEDDED LANGUAGES 203
11.1 MOTIVATION 203
11.2 RELATEDWORK 204
11.3 EMBEDDING SEMANTIC WEB LANGUAGES INTO JAVA 205 11.3.1 THE TYPE
SYSTEM 208
11.3.2 SUBTYPE TEST 210
11.3.3 SATISFIABILITY TEST OF EMBEDDED SPARQL AND SPARUL QUERIES 215
11.3.4 DETERMINATION OF THE QUERY RESULT TYPES 217
11.4 SUMMARY AND CONCLUSIONS 217
IMAGE 5
CONTENTS IX
12 COMPARISON OF THE XML AND SEMANTIC WEB WORLDS 219 12.1 INTRODUCTION
219
12.2 CONCEPTS AND VISIONS 221
12.3 DATA MODELS 221
12.4 SCHEMA AND ONTOLOGY LANGUAGES 222
12.5 QUERY LANGUAGES 223
12.6 EMBEDDING SPARQL INTO XQUERY/XSLT 226
12.6.1 EMBEDDED SPARQL 226
12.6.2 TRANSLATION PROCESS 229
12.6.3 EXPERIMENTAL ANALYSIS 235
12.7 EMBEDDING XPATH INTO SPARQL 240
12.7.1 TRANSLATION OF XPATH SUBQUERIES INTO SPARQL QUERIES 241
12.7.2 PERFORMANCE ANALYSIS 247
12.8 RELATEDWORK 248
12.9 SUMMARY AND CONCLUSIONS 250
13 SUMMARY, CONCLUSIONS, AND FUTURE WORK 25 1
13.1 POSSIBILITIES FOR FUTURE WORK 252
REFERENCES 255
INDEX 267
|
| any_adam_object | 1 |
| author | Groppe, Sven |
| author_GND | (DE-588)131814761 |
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7402854678 |
| dewey-search | 005.7402854678 |
| dewey-sort | 15.7402854678 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV039119032 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T15:50:27Z |
| institution | BVB |
| isbn | 9783642193569 3642193560 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024137644 |
| oclc_num | 724945407 |
| open_access_boolean | |
| owner | DE-83 DE-188 DE-29T |
| owner_facet | DE-83 DE-188 DE-29T |
| physical | IX, 270 S. graph. Darst. 24 cm |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Springer |
| record_format | marc |
| spellingShingle | Groppe, Sven Data management and query processing in semantic web databases SPARQL (DE-588)7693644-2 gnd Semantic Web (DE-588)4688372-1 gnd Sortierverfahren (DE-588)4193434-9 gnd Datenstrom (DE-588)4410055-3 gnd Suchbaum (DE-588)4317574-0 gnd Datenbanksystem (DE-588)4113276-2 gnd Indizierung Informatik (DE-588)4385466-7 gnd Abfrageverarbeitung (DE-588)4378490-2 gnd RDF Informatik (DE-588)4737512-7 gnd |
| subject_GND | (DE-588)7693644-2 (DE-588)4688372-1 (DE-588)4193434-9 (DE-588)4410055-3 (DE-588)4317574-0 (DE-588)4113276-2 (DE-588)4385466-7 (DE-588)4378490-2 (DE-588)4737512-7 |
| title | Data management and query processing in semantic web databases |
| title_auth | Data management and query processing in semantic web databases |
| title_exact_search | Data management and query processing in semantic web databases |
| title_full | Data management and query processing in semantic web databases Sven Groppe |
| title_fullStr | Data management and query processing in semantic web databases Sven Groppe |
| title_full_unstemmed | Data management and query processing in semantic web databases Sven Groppe |
| title_short | Data management and query processing in semantic web databases |
| title_sort | data management and query processing in semantic web databases |
| topic | SPARQL (DE-588)7693644-2 gnd Semantic Web (DE-588)4688372-1 gnd Sortierverfahren (DE-588)4193434-9 gnd Datenstrom (DE-588)4410055-3 gnd Suchbaum (DE-588)4317574-0 gnd Datenbanksystem (DE-588)4113276-2 gnd Indizierung Informatik (DE-588)4385466-7 gnd Abfrageverarbeitung (DE-588)4378490-2 gnd RDF Informatik (DE-588)4737512-7 gnd |
| topic_facet | SPARQL Semantic Web Sortierverfahren Datenstrom Suchbaum Datenbanksystem Indizierung Informatik Abfrageverarbeitung RDF Informatik |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3672071&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024137644&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT groppesven datamanagementandqueryprocessinginsemanticwebdatabases |