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Titlebook: New Trends of Research in Ontologies and Lexical Resources; Ideas, Projects, Sys Alessandro Oltramari,Piek Vossen,Eduard Hovy Book 2013 Spr

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發(fā)表于 2025-3-21 17:14:40 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱New Trends of Research in Ontologies and Lexical Resources
副標(biāo)題Ideas, Projects, Sys
編輯Alessandro Oltramari,Piek Vossen,Eduard Hovy
視頻videohttp://file.papertrans.cn/667/666037/666037.mp4
概述Focusing on new trends of research instead of state of the art.Based on an original top event in the field (OntoLex 2010 workshop at COLING 2010).Explores sinergies with new application domains (Augme
叢書名稱Theory and Applications of Natural Language Processing
圖書封面Titlebook: New Trends of Research in Ontologies and Lexical Resources; Ideas, Projects, Sys Alessandro Oltramari,Piek Vossen,Eduard Hovy Book 2013 Spr
描述.In order to exchange knowledge, humans need to share a common lexicon of words as well as .to access the world models underlying that lexicon. What is a natural process for a human turns out to be an extremely hard task for a machine: computers can’t represent knowledge as effectively as humans do, which hampers, for example, meaning disambiguation and communication. Applied ontologies and NLP have been developed to face these challenges. Integrating ontologies with (possibly multilingual) lexical resources is an essential requirement to make human language understandable by machines, and also to enable interoperability and computability across information systems and, ultimately, in the Web. ?.This book explores recent advances in the integration of ontologies and lexical resources, including questions such as building the required infrastructure (e.g., the Semantic Web) and different formalisms, methods and platforms for eliciting, analyzing and encoding knowledge contents (e.g., multimedia, emotions, events, etc.). ?The contributors look towards next-generation technologies, shifting the focus from the state of the art to the future of Ontologies and Lexical Resources. ?This wo
出版日期Book 2013
關(guān)鍵詞Applied Ontology; Computational Linguistics; Knowledge Engineering; Semantic Technologies; Semantic Web
版次1
doihttps://doi.org/10.1007/978-3-642-31782-8
isbn_softcover978-3-642-43778-6
isbn_ebook978-3-642-31782-8Series ISSN 2192-032X Series E-ISSN 2192-0338
issn_series 2192-032X
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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發(fā)表于 2025-3-21 21:46:35 | 只看該作者
Knowledge in Action: Integrating Cognitive Architectures and Ontologiesrom augmenting the ACT-R cognitive architecture – a modular computational system used to model human cognitive processes – with relevant background knowledge embedded in HOMinE, a semantic resource for actions.
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發(fā)表于 2025-3-22 02:34:37 | 只看該作者
Establishing Interoperability Between Linguistic and Terminological Ontologiesmparison of different models, and the harmonization of linguistic description across application domains, allowing a user to a customized combination of elements from different models according to criteria of coverage, complementarity and granularity of linguistic description.
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發(fā)表于 2025-3-22 04:43:09 | 只看該作者
Use of Ontology, Lexicon and Fact Repository for Reference Resolution in Ontological Semantics its “anchor” in the model of memory of the intelligent agent processing the text. As such, there is no single reference resolution task; rather, reference-related subtasks are best distributed throughout an end-to-end text analysis system.
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2192-032X 2010).Explores sinergies with new application domains (Augme.In order to exchange knowledge, humans need to share a common lexicon of words as well as .to access the world models underlying that lexicon. What is a natural process for a human turns out to be an extremely hard task for a machine: comp
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發(fā)表于 2025-3-22 20:57:19 | 只看該作者
Book 2013s a natural process for a human turns out to be an extremely hard task for a machine: computers can’t represent knowledge as effectively as humans do, which hampers, for example, meaning disambiguation and communication. Applied ontologies and NLP have been developed to face these challenges. Integr
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發(fā)表于 2025-3-22 23:08:27 | 只看該作者
KYOTO: A Knowledge-Rich Approach to the Interoperable Mining of Events from Textperforms off-line reasoning and a module for detecting semantic and linguistic patterns in the tagged data to extract events from a large variety of expressions. The system can efficiently handle large volumes of documents and is not restricted to a specific domain. We applied the system to an English text on estuaries.
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發(fā)表于 2025-3-23 08:01:54 | 只看該作者
Anchoring Background Knowledge to Rich Multimedia Contexts in the K,S,owledge with new entities. We present the . and describe its use in creating a large scale repository of knowledge and multimedia resources in the Italian Trentino region, whose interlinking allows us to explore advanced tasks such as entity-based search and semantic enrichment.
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