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» Instance-Based Matching of Large Life Science Ontologies
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KDD
2004
ACM
144views Data Mining» more  KDD 2004»
14 years 6 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
MOBIDE
2003
ACM
13 years 11 months ago
Semantically driven service interoperability for pervasive computing
The common vision of pervasive computing environments requires a very large range of devices and software components to interoperate seamlessly. From the assumption that these dev...
Declan O'Sullivan, David Lewis
LREC
2008
154views Education» more  LREC 2008»
13 years 7 months ago
A Comparative Evaluation of Term Recognition Algorithms
Automatic Term recognition (ATR) is a fundamental processing step preceding more complex tasks such as semantic search and ontology learning. From a large number of methodologies ...
Ziqi Zhang, José Iria, Christopher Brewster...
ICTAI
2007
IEEE
14 years 17 days ago
Semantic Web: The Story So Far
The goal of Semantic Web research is to transform the Web from a linked document repository into a distributed knowledge base and application platform, thus allowing the vast rang...
Ian Horrocks
DILS
2005
Springer
13 years 11 months ago
Hybrid Integration of Molecular-Biological Annotation Data
: We present a new approach to integrate annotation data from public sources for the expression analysis of genes and proteins. Expression data is materialized in a data warehouse ...
Toralf Kirsten, Hong Hai Do, Christine Körner...