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Craig Bonaceto

dblp:74/8165 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · unresolved

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 · 87% Data mining · 13%

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

TopicWeightPapersLastEvidence papers
Data integration and cleaning
schema matching
0.112010
Exploring schema similarity at multiple resolutions · SIGMOD Conference 2010
Data integration and cleaning
schema similarity
0.112010
Exploring schema similarity at multiple resolutions · SIGMOD Conference 2010
YearPublicationVenuePosition
2010 Exploring schema similarity at multiple resolutions
abstract
Large, dynamic, and ad-hoc organizations must frequently initiate data integration and sharing efforts with insufficient awareness of how organizational data sources are related. Decision makers need to reason about data model interactions much as they do about data instance interactions in OLAP: at multiple levels of granularity. We demonstrate an integrated environment for exploring schema similarity across multiple resolutions. Users visualize and interact with clusters of related schemas using a tool named Affinity. Within any cluster, users may drill-down to examine the extent and content of schema overlap. Further drill down enables users to explore fine-grained element-level correspondences between between two selected schemas.
Kenneth P. Smith, Craig Bonaceto, Chris Wolf, Beth Yost, Michael Morse, Kris Mork, Douglas Burdick
SIGMOD Conference2