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CIKM
2008
Springer
13 years 9 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
CIKM
2009
Springer
13 years 11 months ago
Multidimensional political spectrum identification and analysis
In this work, we show the importance of multidimensional opinion representation in the political context combining domain knowledge and results from principal component analysis. ...
Leilei Zhu, Prasenjit Mitra
WWW
2005
ACM
14 years 8 months ago
Named graphs, provenance and trust
The Semantic Web consists of many RDF graphs nameable by URIs. This paper extends the syntax and semantics of RDF to cover such Named Graphs. This enables RDF statements that desc...
Jeremy J. Carroll, Christian Bizer, Patrick J. Hay...
IEEEICCI
2003
IEEE
14 years 26 days ago
Conceptual Framework for Interactive Ontology Building
Abstract— An ontology is a formal language adequately representing the knowledge used for reasoning in a specific environment. When contradictions arise and make ontologies inad...
Jean Sallantin, Jacques Divol, Patrice Duroux
ICSE
2004
IEEE-ACM
14 years 7 months ago
Skoll: Distributed Continuous Quality Assurance
Quality assurance (QA) tasks, such as testing, profiling, and performance evaluation, have historically been done in-house on developer-generated workloads and regression suites. ...
Atif M. Memon, Adam A. Porter, Cemal Yilmaz, Adith...