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Probabilistic-Logical Web Data Integration
Niepert, Mathias
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Noessner, Jan
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Meilicke, Christian
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Stuckenschmidt, Heiner
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DOI:
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https://doi.org/10.1007/978-3-642-23032-5_11
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URL:
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https://link.springer.com/chapter/10.1007%2F978-3-...
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Document Type:
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Conference or workshop publication
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Year of publication:
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2011
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Book title:
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Reasoning Web. Semantic Technologies for the Web of Data : 7th International Summer School 2011, Galway, Ireland, August 23-27, 2011, Tutorial Lectures
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The title of a journal, publication series:
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Lecture Notes in Computer Science
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Volume:
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6848
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Page range:
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504-533
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Conference title:
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7th Reasoning Web International Summer School 2011
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Location of the conference venue:
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Galway, Ireland
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Date of the conference:
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August 23-27, 2011
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Publisher:
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Polleres, Axel
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Place of publication:
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Berlin [u.a.]
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Publishing house:
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Springer
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ISBN:
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978-3-642-23031-8 , 978-3-642-23032-5
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ISSN:
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0302-9743 , 1611-3349
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Publication language:
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English
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Institution:
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Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
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Subject:
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004 Computer science, internet
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Abstract:
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The integration of both distributed schemas and data repositories is a major challenge in data and knowledge management applications. Instances of this problem range from mapping database schemas to object reconciliation in the linked open data cloud. We present a novel approach to several important data integration problems that combines logical and probabilistic reasoning. We first provide a brief overview of some of the basic formalisms such as description logics and Markov logic that are used in the framework. We then describe the representation of the different integration problems in the probabilistic-logical framework and discuss efficient inference algorithms. For each of the applications, we conducted extensive experiments on standard data integration and matching benchmarks to evaluate the efficiency and performance of the approach. The positive results of the evaluation are quite promising and the flexibility of the framework makes it easily adaptable to other real-world data integration problems.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 Search Authors in
BASE:
Niepert, Mathias
;
Noessner, Jan
;
Meilicke, Christian
;
Stuckenschmidt, Heiner
Google Scholar:
Niepert, Mathias
;
Noessner, Jan
;
Meilicke, Christian
;
Stuckenschmidt, Heiner
ORCID:
Niepert, Mathias, Noessner, Jan, Meilicke, Christian  ORCID: https://orcid.org/0000-0002-0198-5396 and Stuckenschmidt, Heiner ORCID: https://orcid.org/0000-0002-0209-3859
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