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» Ontologies and databases: myths and challenges
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CAI
1999
Springer
15 years 3 days ago
Context in Artificial Intelligence: I. A Survey of the Literature
: Context is the challenge for the coming years in Artificial Intelligence. In the companion paper [8], we present the main results of discussions at two workshops and at the first...
Patrick Brézillon
170
Voted
BMCBI
2006
169views more  BMCBI 2006»
15 years 15 days ago
Assessing protein similarity with Gene Ontology and its use in subnuclear localization prediction
Background: The accomplishment of the various genome sequencing projects resulted in accumulation of massive amount of gene sequence information. This calls for a large-scale comp...
Zhengdeng Lei, Yang Dai
GIS
2008
ACM
16 years 1 months ago
Geospatial information integration based on the conceptualization of geographic domain
Geospatial information integration is not a trivial task. An integrated view must be able to describe various heterogeneous data sources and its interrelation to obtain shared con...
Miguel Torres, Serguei Levachkine, Rolando Quinter...
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
16 years 17 days ago
Automatic Direct and Indirect Schema Mapping: Experiences and Lessons Learned
A schema mapping produces a semantic correspondence between two schemas. Automating schema mapping is challenging. The existence of 1:n (or n:1) and n:m mapping cardinalities make...
David W. Embley, Li Xu, Yihong Ding
82
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ER
2005
Springer
130views Database» more  ER 2005»
15 years 6 months ago
Conceptual Model Based Semantic Web Services
To achieve the dream of the semantic web, it must be possible for ordinary users to invoke services. Exactly how to turn this dream into reality is a challenging opportunity and a...
Muhammed Al-Muhammed, David W. Embley, Stephen W. ...