Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
10
click to vote
ICEIS
2006
IEEE
favorite
Email
discuss
report
72
views
Information Technology
»
more
ICEIS 2006
»
An Extendable Java Framework for Instance Similarities in Ontologies
14 years 2 months ago
Download
www.valentinzacharias.de
Mark Hefke, Valentin Zacharias, Andreas Abecker, Q
Real-time Traffic
ICEIS 2006
|
Information Systems
|
claim paper
Related Content
»
A relation based measure of semantic similarity for Gene Ontology annotations
»
A Feature and Information Theoretic Framework for Semantic Similarity and Relatedness
»
Automatic Mapping of OWL Ontologies into Java
»
Detecting similar Java classes using tree algorithms
»
A Framework for Identity Resolution and Merging for Multisource Information Extraction
»
Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation
»
A Versioning and Evolution Framework for RDF Knowledge Bases
»
Imprecise SPARQL Towards a Unified Framework for SimilarityBased Semantic Web Tasks
»
A General Methodology for Equipping Ontologies with Time
more »
Post Info
More Details (n/a)
Added
11 Jun 2010
Updated
11 Jun 2010
Type
Conference
Year
2006
Where
ICEIS
Authors
Mark Hefke, Valentin Zacharias, Andreas Abecker, Qingli Wang, Ernst Biesalski, Marco Breiter
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision