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Books on the topic 'Semantic data integration'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Lohse, Anja. Integration unterschiedlich strukturierter Daten. J. Eul, 2003.

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2

Janina, Fengel, and Paulheim Heiko, eds. Ontologies-based business integration. Springer, 2008.

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3

III, William Brown. Ontology-based Semantic Harmonization of HIV-associated Common Data Elements for Integration of Diverse HIV Research Datasets. [publisher not identified], 2016.

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4

Rebstock, Michael. Ontologies-based business integration. Springer, 2008.

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5

Bhargava, H. K. Automated detection of naming conflicts in schema integration: Experiments with quiddities*. Naval Postgraduate School, 1991.

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6

Sang-in, Chŏn, ред. Hanʼguk hyŏndaesa: Chinsil kwa haesŏk. Nanam Chʻulpʻan, 2005.

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7

Nesic, Sasa. Semantic Document Architecture for Desktop Data Integration and Management. CreateSpace Independent Publishing Platform, 2011.

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8

Semantic Management of Middleware (Semantic Web and Beyond). Springer, 2006.

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9

Gruber, Jochen. Rule Based Integration of Web Services into Semantic Data Bases. GRIN Verlag GmbH, 2007.

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10

Entity Information Life Cycle for Big Data: Master Data Management and Information Integration. Elsevier Science & Technology Books, 2015.

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11

Spaccapietra, Stefano. Journal on Data Semantics VII. Springer London, Limited, 2006.

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12

Hodgson, Ralph, and Jeffrey T. Pollock. Adaptive Information: Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration. Wiley & Sons, Incorporated, John, 2008.

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13

Hodgson, Ralph, and Jeffrey T. Pollock. Adaptive Information: Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration. Wiley & Sons, Incorporated, John, 2004.

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14

Adaptive Information: Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration. Wiley & Sons, Incorporated, John, 2005.

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15

Adaptive Information: Improving Business Through Semantic Interoperability, Grid Computing, and Enterprise Integration (Wiley Series in Systems Engineering and Management). Wiley-Interscience, 2004.

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16

(Editor), Yoshifumi Masunaga, Xiaofeng Meng (Editor), Guoren Wang (Editor), and Seog Park (Editor), eds. Advances In Scalable Web Information Integration And Service: Proceedings of Dasfaa2007 International Workshop on Scalable Web Information Integration and Service. World Scientific Publishing Company, 2008.

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17

Adaptive Information. Wiley & Sons Canada, Limited, John, 2004.

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18

Schema Matching And Mapping. Springer, 2011.

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19

From Science 2. 0 to Pharma 3. 0: Semantic Search and Social Media in the Pharmaceutical Industry and STM Publishing. Elsevier Science & Technology, 2012.

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20

From Science 2. 0 to Pharma 3. 0: Semantic Search and Social Media in the Pharmaceutical Industry and STM Publishing. Elsevier Science & Technology, 2012.

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21

Majkić, Zoran. Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics. Springer, 2014.

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22

Majki, Zoran. Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics. Springer International Publishing AG, 2016.

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23

Majkić, Zoran. Big Data Integration Theory: Theory and Methods of Database Mappings, Programming Languages, and Semantics. Springer International Publishing AG, 2014.

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24

Rubinstein, Aynat. Straddling the line between attitude verbs and necessity modals. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198718208.003.0007.

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This chapter explores the semantic properties of verbs and adjectives with closely related meanings having to do with desires and goals. I evaluate recent work on verbs of desire (e.g. ‘want’) which has suggested that these attitude predicates require access to multiple alternatives for their interpretation (Villalta 2006, 2008). I argue that this heavy machinery is in fact not required, integrating important insights proposed in this recent work into a quantificational modal analysis of comparison-based attitudes. The proposed analysis highlights the similarities and differences between ‘want

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