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Wouter Alink

dblp:59/1843 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data integration and cleaning · 44% Data models and query languages · 44% Database theory · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning › data fusion
conflict resolution
0.112005
A Probabilistic XML Approach to Data Integration · ICDE 2005
Database theory › probabilistic databases
probabilistic query semantics
0.012005
A Probabilistic XML Approach to Data Integration · ICDE 2005

Methods — techniques the papers use, named apart from their topics

probabilistic XML tree · 0.1logical query semantics · 0.1
YearPublicationVenuePosition
2005 A Probabilistic XML Approach to Data Integration
abstract
In mobile and ambient environments, devices need to become autonomous, managing and resolving problems without interference from a user. The database of a (mobile) device can be seen as its knowledge about objects in the 'real world'. Data exchange between small and/or large computing devices can be used to supplement and update this knowledge whenever a connection gets established. In many situations, however, data from different data sources referring to the same real world objects, may conflict. It is the task of the data management system of the device to resolve such conflicts without interference from a user. In this paper, we take a first step in the development of a probabilistic XML DBMS. The main idea is to drop the assumption that data in the database should be certain: subtrees in XML documents may denote possible views on the real world. We formally define the notion of probabilistic XML tree and several operations thereon. We also present an approach for determining a logical semantics for queries on probabilistic XML data. Finally, we introduce an approach for XML data integration where conflicts are resolved by the introduction of possibilities in the database.
Maurice van Keulen, Ander de Keijzer, Wouter Alink
ICDE3