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ESWS
2008
Springer
13 years 6 months ago
Query Answering and Ontology Population: An Inductive Approach
In order to overcome the limitations of deductive logic-based approaches to deriving operational knowledge from ontologies, especially when data come from distributed sources, indu...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
ACL
2010
13 years 2 months ago
Unsupervised Ontology Induction from Text
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
Hoifung Poon, Pedro Domingos
SWAP
2008
13 years 6 months ago
A Note on the Evaluation of Inductive Concept Classification Procedures
Abstract. The limitations of deductive logic-based approaches at deriving operational knowledge from ontologies may be overcome by inductive (instancebased) methods, which are usua...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
KES
2007
Springer
13 years 10 months ago
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
Nicola Fanizzi, Claudia d'Amato
SEMWEB
2009
Springer
13 years 9 months ago
A Decomposition-Based Approach to Optimizing Conjunctive Query Answering in OWL DL
Scalable query answering over Description Logic (DL) based ontologies plays an important role for the success of the Semantic Web. Towards tackling the scalability problem, we prop...
Jianfeng Du, Guilin Qi, Jeff Z. Pan, Yi-Dong Shen