Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from VLDB 2026 / reviewers in the wild / expert

Patrick Connor Linskey

dblp:74/2349 · DBLP profile ↗
← Back
1ranked-venue papers
1as 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-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 · 77% Database system architecture and tuning · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data integration and cleaning › schema mapping
object-relational mapping		 0.112007
An in-depth look at the architecture of an object/relational mapper · SIGMOD Conference 2007
YearPublicationVenuePosition
2007 An in-depth look at the architecture of an object/relational mapper
abstract
Object/relational mapping (ORM) tools can deliver a number of benefits to object-oriented, data-centric applications. These benefits are usually artifacts of the implementation of the tool used for the mapping, and not of the ORM paradigm itself. We will examine some of the significant features that the Kodo[1] ORM implementation delivers, by looking at the architecture of Kodo to see the source of these features.
Patrick Connor Linskey, Marc Prud'hommeaux
 SIGMOD Conference1