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Word sense disambiguation: A survey
R Navigli - ACM computing surveys (CSUR), 2009 - dl.acm.org
Word sense disambiguation (WSD) is the ability to identify the meaning of words in context
in a computational manner. WSD is considered an AI-complete problem, that is, a task …
in a computational manner. WSD is considered an AI-complete problem, that is, a task …
Ontology learning: state of the art and open issues
L Zhou - Information Technology and Management, 2007 - Springer
Ontology is one of the fundamental cornerstones of the semantic Web. The pervasive use of
ontologies in information sharing and knowledge management calls for efficient and …
ontologies in information sharing and knowledge management calls for efficient and …
A survey of ontology learning techniques and applications
Ontologies have gained a lot of popularity and recognition in the semantic web because of
their extensive use in Internet-based applications. Ontologies are often considered a fine …
their extensive use in Internet-based applications. Ontologies are often considered a fine …
Information extraction meets the semantic web: a survey
We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …
A Delphi-based approach to develo** expert systems with the cooperation of multiple experts
Knowledge acquisition has been a critical bottleneck in building knowledge-based systems.
In past decades, several methods and systems have been proposed to cope with this …
In past decades, several methods and systems have been proposed to cope with this …
[KNJIGA][B] Ontology learning from text: methods, evaluation and applications
This volume brings together ontology learning, knowledge acquisition and other related
topics. It presents current research in ontology learning, addressing three perspectives. The …
topics. It presents current research in ontology learning, addressing three perspectives. The …
[KNJIGA][B] Model driven engineering and ontology development
Defining a formal domain ontology is generally considered a useful, not to say necessary
step in almost every software project. This is because software deals with ideas rather than …
step in almost every software project. This is because software deals with ideas rather than …
[KNJIGA][B] Model driven architecture and ontology development
Defining a formal domain ontology is generally considered a useful, not to say necessary
step in almost every software project. This is because software deals with ideas rather than …
step in almost every software project. This is because software deals with ideas rather than …
Learning domain ontologies from document warehouses and dedicated web sites
We present a method and a tool, OntoLearn, aimed at the extraction of domain ontologies
from Web sites, and more generally from documents shared among the members of virtual …
from Web sites, and more generally from documents shared among the members of virtual …
Automatic fuzzy ontology generation for semantic web
Ontology is an effective conceptualism commonly used for the semantic Web. Fuzzy logic
can be incorporated to ontology to represent uncertainty information. Typically, fuzzy …
can be incorporated to ontology to represent uncertainty information. Typically, fuzzy …