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Marcin Kwietniewski

dblp:07/6357 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

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

Databases, data management, data science and information retrieval · 2 · 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
2 papers
Data models and query languages · 36% Data integration and cleaning · 36% Spatial and temporal data management · 28%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages › schema management
schema evolution
0.112010
Transforming XML Documents as Schemas Evolve · Proc. VLDB Endow. 2010
Data integration and cleaning
schema matching
0.112010
Transforming XML Documents as Schemas Evolve · Proc. VLDB Endow. 2010
Multimedia analysis and retrieval
multimedia database
0.012008
MED: A Multimedia Event Database for 3D Crime Scene Representation and Analysis · ICDE 2008

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

3d scanning · 0.2XSLT visualization · 0.1
YearPublicationVenuePosition
2010 Transforming XML Documents as Schemas Evolve
abstract
Database systems often use XML schema to describe the format of valid XML documents. Usually, this format is determined when the system is designed. Sometimes, in an already functioning system, a need arises to change the XML schemas. In such a situation, the system has to transform the old XML documents so that they conform to the new format and that as little information as possible is lost in the process. This process is called schema evolution . We have implemented an XML schema transformation toolkit within IBM Master Data Management Server (MDM). MDM uses XML documents to describe products that an enterprise may be offering to its clients. In this work we focus on evolving schemas rather than on integrating separate or heterogeneous data sources. Our solution includes an extendible schema matching algorithm that was designed with evolving XML schemas in mind and takes advantage of hierarchical structure of XML. It also includes a data transformation and migration method appropriate for environments where migration is performed in an abstraction layer above the DBMS. Finally, we describe a novel way of extending an XSLT editor with an XSLT visualization feature to allow the user's input and evaluation of the transformation.
Jarek Gryz, Marcin Kwietniewski, Stephanie Hazlewood, Paul van Run
Proc. VLDB Endow.2
2008 MED: A Multimedia Event Database for 3D Crime Scene Representation and Analysis
abstract
The development of sensors capable of obtaining 3D scans of crime scenes is revolutionizing the ways in which crime scenes can be analyzed and at the same time is driving the need for the development of sophisticated tools to represent and store this data. Here we describe the design of a multimedia database suitable for representing and reasoning about crime scene data. The representation is grounded in the physical environment that makes up the crime scene and provides mechanisms for representing both traditional (forms-based) data as well as 3D scan and other complex spatial data.
Marcin Kwietniewski, Stephanie Wilson, Anna Topol, Sunbir Gill, Jarek Gryz, Michael R. M. Jenkin, Piotr Jasiobedzki, Ho-Kong Ng
ICDE1