Controlled Natural Language Workshop on Controlled Natural Language, CNL 2009, Marettimo Island, Italy, June 8-10, 2009. Revised Papers / [electronic resource] :
edited by Norbert E. Fuchs.
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
- X, 291p. 62 illus. online resource.
- Lecture Notes in Computer Science, 5972 0302-9743 ; .
- Lecture Notes in Computer Science, 5972 .
Language Aspects -- An Evaluation Framework for Controlled Natural Languages -- Rhetorical Compositions for Controlled Natural Languages -- Anaphora Resolution Involving Interactive Knowledge Acquisition -- Talking Rabbit: A User Evaluation of Sentence Production -- Naturalness vs. Predictability: A Key Debate in Controlled Languages -- Implementing Controlled Languages in GF -- Polysemy in Controlled Natural Language Texts -- Economical Discourse Representation Theory -- Controlled English Ontology-Based Data Access -- SBVR’s Approach to Controlled Natural Language -- Tools and Applications -- The Naproche Project Controlled Natural Language Proof Checking of Mathematical Texts -- On Designing Controlled Natural Languages for Semantic Annotation -- Development of a Controlled Natural Language Interface for Semantic MediaWiki -- A Controlled Language for the Specification of Contracts -- Rabbit to OWL: Ontology Authoring with a CNL-Based Tool -- Writing Clinical Practice Guidelines in Controlled Natural Language -- What Are Controlled Natural Languages? -- On Controlled Natural Languages: Properties and Prospects.
Controlled natural languages (CNLs) are subsets of natural languages, obtained by - stricting the grammar and vocabulary in order to reduce or eliminate ambiguity and complexity. Traditionally, controlled languagesfall into two major types: those that - prove readability for human readers, and those that enable reliable automatic semantic analysis of the language. [. . . ] The second type of languages has a formal logical basis, i. e. they have a formal syntax and semantics, and can be mapped to an existing formal language, such as ?rst-order logic. Thus, those languages can be used as knowledge representation languages, and writing of those languages is supported by fully au- matic consistency and redundancy checks, query answering, etc. Wikipedia Variouscontrollednatural languagesof the second type have been developedby a n- ber of organizations, and have been used in many different application domains, most recently within the Semantic Web. The workshop CNL 2009 was dedicated to discussing the similarities and the d- ferences of existing controlled natural languages of the second type, possible impro- ments to these languages, relations to other knowledge representation languages, tool support, existing and future applications, and further topics of interest.
9783642144189
10.1007/978-3-642-14418-9 doi
Computer science.
Database management.
Data mining.
Information storage and retrieval systems.
Information systems.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Information Storage and Retrieval.
Information Systems Applications (incl.Internet).
Mathematical Logic and Formal Languages.
Database Management.
Data Mining and Knowledge Discovery.
Q334-342 TJ210.2-211.495
006.3
Language Aspects -- An Evaluation Framework for Controlled Natural Languages -- Rhetorical Compositions for Controlled Natural Languages -- Anaphora Resolution Involving Interactive Knowledge Acquisition -- Talking Rabbit: A User Evaluation of Sentence Production -- Naturalness vs. Predictability: A Key Debate in Controlled Languages -- Implementing Controlled Languages in GF -- Polysemy in Controlled Natural Language Texts -- Economical Discourse Representation Theory -- Controlled English Ontology-Based Data Access -- SBVR’s Approach to Controlled Natural Language -- Tools and Applications -- The Naproche Project Controlled Natural Language Proof Checking of Mathematical Texts -- On Designing Controlled Natural Languages for Semantic Annotation -- Development of a Controlled Natural Language Interface for Semantic MediaWiki -- A Controlled Language for the Specification of Contracts -- Rabbit to OWL: Ontology Authoring with a CNL-Based Tool -- Writing Clinical Practice Guidelines in Controlled Natural Language -- What Are Controlled Natural Languages? -- On Controlled Natural Languages: Properties and Prospects.
Controlled natural languages (CNLs) are subsets of natural languages, obtained by - stricting the grammar and vocabulary in order to reduce or eliminate ambiguity and complexity. Traditionally, controlled languagesfall into two major types: those that - prove readability for human readers, and those that enable reliable automatic semantic analysis of the language. [. . . ] The second type of languages has a formal logical basis, i. e. they have a formal syntax and semantics, and can be mapped to an existing formal language, such as ?rst-order logic. Thus, those languages can be used as knowledge representation languages, and writing of those languages is supported by fully au- matic consistency and redundancy checks, query answering, etc. Wikipedia Variouscontrollednatural languagesof the second type have been developedby a n- ber of organizations, and have been used in many different application domains, most recently within the Semantic Web. The workshop CNL 2009 was dedicated to discussing the similarities and the d- ferences of existing controlled natural languages of the second type, possible impro- ments to these languages, relations to other knowledge representation languages, tool support, existing and future applications, and further topics of interest.
9783642144189
10.1007/978-3-642-14418-9 doi
Computer science.
Database management.
Data mining.
Information storage and retrieval systems.
Information systems.
Artificial intelligence.
Computer Science.
Artificial Intelligence (incl. Robotics).
Information Storage and Retrieval.
Information Systems Applications (incl.Internet).
Mathematical Logic and Formal Languages.
Database Management.
Data Mining and Knowledge Discovery.
Q334-342 TJ210.2-211.495
006.3