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Hans Wegener

dblp:29/2671 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2007
—ORCID · none

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

Databases, data management, data science and information retrieval · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

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% Data mining · 13%

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

TopicWeightPapersLastEvidence papers
Data models and query languages › data modeling
logical data model
0.112007
Information System Construction and Maintenance Based on Business Terminology: Experiences from the Reinsurance Industry · ICDE 2007
Data integration and cleaning › enterprise information integration
master data management
0.112007
Information System Construction and Maintenance Based on Business Terminology: Experiences from the Reinsurance Industry · ICDE 2007

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

data quality management · 0.1
YearPublicationVenuePosition
2007 Information System Construction and Maintenance Based on Business Terminology: Experiences from the Reinsurance Industry
abstract
During the construction phase of an information system, business concerns are expressed in the form of a logical data model. From that the physical data model is designed, taking into account IT concerns as well. Systematically managed business terminology, used as the basis for formulating these models, has been claimed to ensure alignment between the business and IT perspective. We are looking back on six years of experience with the Swiss Re Data Language, our standard for information system construction, reuse, and maintenance with respect to master data. Focusing on the needs of analytical information systems, we report about our analysis methodology (which allows for the systematic alignment of business and IT), the organizational embedding (which ensures systematic reuse of reference data), and the practical use of business terminology in data quality management.
Hans Wegener
ICDE1
1995 The myth of seperable dialogue: software engineering vs. user models
Hans Wegener
INTERACT1