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|a 978-3-8405-0133-3
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|a urn:nbn:de:hbz:6-67249643318
|2 urn
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|a eng
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|a 330 Wirtschaft
|2 23
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|a Stahl, Florian
|0 http://d-nb.info/gnd/1031814566
|4 aut
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|a Monsenstein und Vannerdat
|4 pbl
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|a High-quality Web information provisioning and quality-based data pricing
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|a [Electronic ed.]
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|b Monsenstein und Vannerdat
|c 2016
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|b Universitäts- und Landesbibliothek Münster
|c 2016-03-01
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| 300 |
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|a XIII, 296
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| 490 |
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|a Wissenschaftliche Schriften der Universität Münster / Reihe IV
|v Bd. 9
|w 83084a52-95c4-4c77-b4e0-28061967c77c
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| 500 |
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|a Auch im Buchhandel erhältlich: High-quality Web information provisioning and quality-based data pricing / Florian Stahl. – Münster : Monsenstein und Vannerdat, 2016. – XIII, 296 S. (Wissenschaftliche Schriften der WWU Münster : Reihe IV ; Bd. 9), ISBN 978-3-8405-0133-3, Preis: 20,10 EUR
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|a 1 Introduction ..... 1 -- 1.1 Aim of this Thesis ..... 2 -- 1.2 Structure of this Thesis ..... 4 -- 2 Formal Basics ..... 7 -- 2.1 Petri Nets as a Means of Modelling Processes ..... 7 -- 2.1.1 Advanced Data Models and Petri Nets ..... 10 -- 2.1.2 Advanced Arcs in Petri Nets ..... 11 -- 2.1.3 Advanced Branching: Introducing OR to Petri Nets ..... 12 -- 2.2 The Relational Model and Relational Algebra ..... 15 -- 2.2.1 The Relational Model ..... 15 -- 2.2.2 Relational Algebra ..... 17 -- 2.2.3 Relational Algebra Examples ..... 18 -- I High-Quality Web Information Provisioning ..... 21 -- 3 Information and the Web ..... 23 -- 3.1 Defining Information ..... 24 -- 3.2 Web and Web Search ..... 27 -- 3.2.1 A Short History of the Web ..... 28 -- 3.2.2 A Short History of (Web) Search ..... 31 -- 3.2.3 Approaches to Search ..... 33 -- 3.3 Challenges in Web Search ..... 36 -- 3.3.1 Mining and Integrating the Deep Web ..... 36 -- 3.3.2 Extracting Meaning ..... 39 -- 3.3.3 Understanding User Queries and Ranking Results ..... 41 -- 3.3.4 Crowds and Social Search ..... 46 -- 3.4 Added Value Through Human Involvement ..... 47 -- 3.4.1 Data Curation ..... 47 -- 3.4.2 Information Brokers ..... 49 -- 3.5 Method and Focus of this Part ..... 52 -- 3.5.1 Limitations of Search Technology ..... 52 -- 3.5.2 Focus of this Part ..... 54 -- 3.5.3 Applied Method ..... 58 -- 4 High-Quality Information Provisioning using WiPo ..... 61 -- 4.1 The WiPo Approach ..... 63 -- 4.1.1 Quality Information Needs ..... 66 -- 4.1.2 The WiPo Process ..... 69 -- 4.2 The WiPo Architecture ..... 79 -- 4.2.1 Client-Side ..... 80 -- 4.2.2 Data Collection ..... 82 -- 4.2.3 Curation ..... 87 -- 4.2.4 Search ..... 90 -- 4.3 Comparison of Selected WiPo Scenarios ..... 91 -- 4.3.1 Comparison Method ..... 92 -- 4.3.2 Scenario 1: New Zealand Search and Rescue ..... 101 -- 4.3.3 Evaluation of WiPo for New Zealand Search and Rescue ..... 106 -- 4.3.4 Scenario 2: Tourism ..... 108 -- 4.3.5 Scenario 3: Healthcare ..... 116 -- 4.3.6 Scenario 4: WiPo for Business Environment Analysis ..... 121 -- 4.3.7 Case Comparison ..... 126 -- 4.4 WiPo Conclusions and Future Work ..... 134 -- 4.4.1 Beyond Manual Curation ..... 134 -- 4.4.2 Future Technical Developments ..... 137 -- 4.4.3 Future Work ..... 138 -- II Data Marketplaces and Quality-Based Data Pricing ..... 143 -- 5 Data Marketplaces ..... 145 -- 5.1 Basic Microeconomics ..... 146 -- 5.2 A Theoretical Perspective ..... 150 -- 5.2.1 Markets and Marketplaces ..... 151 -- 5.2.2 Electronic Markets and Marketplaces ..... 152 -- 5.2.3 The Marketability of Data ..... 154 -- 5.3 A Practical Perspective ..... 159 -- 5.3.1 Infrastructure of and Actors on Data Marketplaces ..... 161 -- 5.3.2 Observed Pricing Mechanisms on Data Marketplaces ..... 165 -- 5.3.3 The Market for Data and Data-Related Services ..... 169 -- 5.3.4 Related Work on Data Marketplaces ..... 172 -- 5.4 Pricing of Information Goods ..... 176 -- 5.4.1 The Theory of Pricing of Information Goods ..... 176 -- 5.4.2 Classifying Data and Data Marketplaces as Information Goods ..... 179 -- 5.4.3 Pricing Strategies ..... 184 -- 5.4.4 Related Work on Pricing of Information Goods ..... 191 -- 6 Pricing Data ..... 195 -- 6.1 Pricing of Data on Data Marketplaces ..... 196 -- 6.2 Focus of this Part ..... 200 -- 6.3 A Relational View on Data Marketplaces ..... 202 -- 6.4 Data Quality ..... 205 -- 6.4.1 Data Quality Dimensions ..... 205 -- 6.4.2 A Data Quality Score ..... 212 -- 6.4.3 Basic Data Quality Measures ..... 214 -- 6.4.4 A Quality Score Example ..... 218 -- 6.4.5 Advanced Quality Measures ..... 221 -- 6.5 Quality-Based Pricing ..... 225 -- 6.5.1 Introducing Utility ..... 227 -- 6.5.2 Price Attribution ..... 233 -- 6.5.3 Fair Knapsack Pricing ..... 235 -- 6.5.4 Solving the Multiple-Choice Knapsack Pricing Problem ..... 236 -- 6.5.5 Modifying Quality ..... 241 -- 6.5.6 Fair Knapsack Pricing Example ..... 247 -- 6.6 Data Marketplaces Conclusions and Future Work ..... 249 -- 7 Conclusion ..... 253 -- 7.1 Main Contributions ..... 254 -- 7.1.1 High-Quality Web Information Provisioning ..... 254 -- 7.1.2 Quality-Based Relational Data Pricing ..... 255 -- 7.2 Outlook ..... 258 -- References ..... 261 -- Literature References ..... 261 -- Web References ..... 285 -- List of Abbreviations ..... 293 -- List of Most Important Symbols ..... 295.
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|a free access
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|a Today, information can be considered a production factor. This is attributed to the technological innovations the Internet and the Web have brought about. Now, a plethora of information is available making it hard to find the most relevant information. Subsequently, the issue of finding and purchasing high-quality data arises. Addressing these challenges, this work first examines how high-quality information provisioning can be achieved with an approach called WiPo that exploits the idea of curation, i. e., the selection, organisation, and provisioning of information with human involvement. The second part of this work investigates the issue that there is little understanding of what the value of data is and how it can be priced – despite the fact that it is already being traded on data marketplaces. To overcome this, a pricing approach based on the Multiple-Choice Knapsack Problem is proposed that allows for utility maximisation for customers and profit maximisation for vendors.
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|a specialized
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|a CC BY-NC-SA 3.0 DE
|u http://creativecommons.org/licenses/by-nc-sa/3.0/de/
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|a Information Provisioning
|a Digital Curation
|a Web in Your Pocket
|a Data Quality
|a Data Marketplaces
|a Data Pricing
|a Multiple-Choice Knapsack
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|2 DRIVER Types
|a Dissertation/Habilitation
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|2 DCMI Types
|a Text
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|a Vossen, Gottfried
|u FB 04: Wirtschaftswissenschaftliche Fakultät
|0 http://d-nb.info/gnd/121017168
|4 ths
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| 710 |
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|a Universitäts- und Landesbibliothek Münster
|0 http://d-nb.info/gnd/5091030-9
|4 own
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| 810 |
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|a Georg-Olms-Verlag (Hildesheim u.a.)
|t Wissenschaftliche Schriften der Universität Münster / Reihe IV
|v Bd. 9
|w (miami)83084a52-95c4-4c77-b4e0-28061967c77c
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| 856 |
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|3 Zum Volltext
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