| Description |
1 online resource ( xv, 113 pages) : illustrations |
| Series |
Synthesis lectures on the semantic web, theory and technology, 2160-472X ; #7 |
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Synthesis lectures on the semantic web, theory and technology ; #7
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| Contents |
1. Introduction -- 1.1 The case for provenance -- 1.2 A definition of provenance -- 1.3 Provenance and the web architecture -- 1.4 The W3C PROV standard -- 1.5 Online extensions |
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2. A data journalism scenario -- 2.1 Scenario: The employment report -- 2.1.1 Characters -- 2.1.2 Story creation and publication -- 2.1.3 Crunching data -- 2.1.4 Reusing the story -- 2.2 Provenance use cases -- 2.2.1 Quality assessment -- 2.2.2 Compliance -- 2.2.3 Cataloging -- 2.2.4 Replay -- 2.3 A brief introduction to expressing provenance -- 2.4 Summary |
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3. The PROV ontology -- 3.1 Overview -- 3.2 Qualified relation patterns -- 3.3 Data flow view -- 3.3.1 Entity -- 3.3.2 Derivation -- 3.3.3 Revision -- 3.3.4 Quotation -- 3.3.5 Primary source -- 3.4 Process flow view -- 3.4.1 Activity -- 3.4.2 Generation -- 3.4.3 Usage -- 3.4.4 Invalidation -- 3.4.5 Start -- 3.4.6 End -- 3.4.7 Communication -- 3.5 Responsibility view -- 3.5.1 Agent -- 3.5.2 Attribution -- 3.5.3 Association -- 3.5.4 Delegation -- 3.6 Alternates view -- 3.6.1 Specialization -- 3.6.2 Alternate -- 3.7 Bundles -- 3.8 Miscellaneous -- 3.8.1 Collection and membership -- 3.8.2 Refined derivation -- 3.8.3 Further properties -- 3.9 Ontology structure -- 3.10 Summary |
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4. Provenance recipes -- 4.1 Modeling -- 4.1.1 Iterative modeling -- 4.1.2 Identify, identify, identify! -- 4.1.3 From data flow to activities -- 4.1.4 Plan for revisions -- 4.1.5 Modeling update and other destructive activities -- 4.1.6 Modeling message passing -- 4.1.7 Modeling parameters -- 4.1.8 Introduce the environment -- 4.1.9 Modeling sub-activities -- 4.2 Organizing -- 4.2.1 Stitch provenance together -- 4.2.2 Use content-negotiation when exposing provenance -- 4.2.3 Bundle up and provide attribution to provenance -- 4.2.4 Embedding provenance in HTML -- 4.2.5 Embedding provenance in other media -- 4.2.6 When all else fails, add provenance to PROV headers -- 4.2.7 Embedding provenance in bundles: self-referential bundles -- 4.2.8 When displaying provenance, adopt conventional layout -- 4.3 Collecting -- 4.3.1 Use structured logs to collect provenance -- 4.3.2 Collect in a local form, expose as PROV -- 4.4 Anti-patterns -- 4.4.1 Activity but no derivation -- 4.4.2 Association but no attribution -- 4.4.3 Specify responsibility first, what a PROV:Agent is will follow -- 4.5 Summary |
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5. Validation, compliance, quality, replay -- 5.1 Validation use cases -- 5.2 Principles of validation -- 5.2.1 Events and their ordering -- 5.2.2 Simultaneous events -- 5.2.3 Nested intervals and specialization -- 5.2.4 Use cases revisited -- 5.3 Utilizing provenance -- 5.3.1 Provenance-based compliance -- 5.3.2 Provenance-based quality assessment -- 5.3.3 Provenance-based cataloging -- 5.3.4 Provenance-based replaying -- 5.4 Implementation techniques for provenance analysis -- 5.4.1 Finding ancestors -- 5.4.2 Deep traversal -- 5.4.3 Pattern detection for policy compliance -- 5.4.4 Time comparison -- 5.4.5 Trust-based filtering -- 5.4.6 Finding external ancestor resources -- 5.4.7 Replay technique -- 5.5 Summary |
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6. Provenance management -- 6.1 Exposing provenance -- 6.1.1 Embedding provenance in HTML with RDFA -- 6.1.2 Provenance services -- 6.2 Provenance management tools -- 6.2.1 ProvToolbox -- 6.2.2 ProvPy -- 6.2.3 ProvConvert and ProvTranslator -- 6.2.4 ProvStore -- 6.2.5 ProvValidator -- 6.2.6 Browser PROV extractor -- 6.2.7 ProvVis: interactive visualizations for PROV -- 6.3 Provenance management on www.provbooK.org -- 6.3.1 Directories -- 6.3.2 URI schemes for entities, agents, and activities -- 6.3.3 The PROV book ontology -- 6.3.4 Data journalism provenance -- 6.3.5 Exposing provenance -- 6.4 Summary |
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7. Conclusion -- 7.1 Toward provenance self certification: a checklist -- 7.2 Applying provenance in the wild -- 7.3 Open issues -- 7.3.1 Provenance enabling systems -- 7.3.2 Fundamentals of provenance -- 7.3.3 Provenance analytics -- 7.3.4 Securing provenance -- 7.4 Final words -- Bibliography -- Authors' biographies -- Index |
| Bibliography |
Includes bibliographical references (pages 105-108) and index |
| Notes |
Online resource; title from PDF title page (Morgan & Claypool, viewed on September 18, 2013) |
| Subject |
Data integrity.
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Database management.
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Semantic Web.
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| Form |
Electronic book
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| Author |
Groth, Paul, author
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| ISBN |
9781627052221 (electronic bk.) |
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1627052224 (electronic bk.) |
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1627052216 |
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9781627052214 |
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