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» Background Knowledge in Concept Graphs
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CIIA
2009
13 years 8 months ago
Ontology-Driven Method for Ranking Unexpected Rules
Several rule discovery algorithms have the disadvantage to discover too much patterns sometimes obvious, useless or not very interesting to the user. In this paper we propose a new...
Mohamed Said Hamani, Ramdane Maamri
CLEF
2007
Springer
14 years 1 months ago
Multiplying Concept Sources for Graph Modeling
This paper presents the LIG contribution to the CLEF 2007 medical retrieval task (i.e. ImageCLEFmed). The main idea in this paper is to incorporate medical knowledge in the langua...
Loïc Maisonnasse, Éric Gaussier, Jean-...
ICCS
2004
Springer
14 years 1 months ago
KNAML: A Knowledge Representation Language for Distributed Reasoning
The Knowledge Agent Mediation Language (KNAML) is designed for use in multi-agent reasoning systems. Like conceptual graphs, KNAML represents knowledge using concepts, relations, a...
Gordon Streeter, Andrew Potter
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 1 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
JCDL
2004
ACM
94views Education» more  JCDL 2004»
14 years 1 months ago
Element matching in concept maps
Concept maps (CM) are informal, semantic, node-link conceptual graphs used to represent knowledge in a variety of applications. Algorithms that compare concept maps would be usefu...
Byron Marshall, Therani Madhusudan