Randall Hauch

dblp:86/3720 · DBLP profile ↗
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1ranked-venue papers
1as 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 · 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 · 67% Data models and query languages · 33%

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

TopicWeightPapersLastEvidence papers
Data integration and cleaning
enterprise information integration
0.112005
Information intelligence: metadata for information discovery, access, and integration · SIGMOD Conference 2005
Data models and query languages
metadata
0.112005
Information intelligence: metadata for information discovery, access, and integration · SIGMOD Conference 2005
Data integration and cleaning
metadata management
0.112005
Information intelligence: metadata for information discovery, access, and integration · SIGMOD Conference 2005

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

domain-specific modeling languages · 0.1MOF architecture · 0.1
YearPublicationVenuePosition
2005 Information intelligence: metadata for information discovery, access, and integration
abstract
Integrating enterprise information requires an accurate, precise and complete understanding of the disparate data sources, the needs of the information consumers, and how these map to the semantic business concepts of the enterprise. We describe how MetaMatrix captures and manages this metadata through the use of the OMG's MOF architecture and multiple domain-specific modeling languages, and how this semantic and syntactic metadata is then used for a variety of purposes, including accessing data in real-time from the underlying enterprise systems, integrating it, and returning it as information expected by consumers.
Randall Hauch, Rob Cardwell
SIGMOD Conference1