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Ontology learning

Web Search Engine Using Ontology Learning

Web Search Engine Using Ontology Learning

... .An Ontology should be used to solve the semantic issues and share knowledge with and among ...An Ontology supports sharing information and knowledge, defining the relationships between different resources, ...

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Comparison of ontology learning techniques for Qur’anic text

Comparison of ontology learning techniques for Qur’anic text

... treat ontology learning as an useful method because this method helps them to construct ontology more ...So, ontology learning can defined as the set of method and techniques used for ...

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Preliminary study on an ontology learning from textual data

Preliminary study on an ontology learning from textual data

... many ontology learning from text applications that have been published and presented in various ...for ontology learning from textual ...existing ontology and much ...

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Ontology Learning and Semantic Annotation: a Necessary Symbiosis

Ontology Learning and Semantic Annotation: a Necessary Symbiosis

... the ontology learning process, this latter producing the application ontology (Studer et ...existing ontology learning tool: T2K (Text-to-Knowledge), a hybrid system combining ...

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Markov Logic Network: Unify Framework          for Ontology Learning

Markov Logic Network: Unify Framework for Ontology Learning

... meta-physics learning from text includes three core subtasks. There are learning of the ideas which will represent the meta-physics, learning of the linguistics relations among these ideas and at ...

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Ontology learning as a use-case for neural-symbolic integration

Ontology learning as a use-case for neural-symbolic integration

... of learning and generalisation from raw data which is usually characterized by simple feature ...that ontology learning provides such an application scenario with potential for success and high ...

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An Incremental Tri-Partite Approach To Ontology Learning

An Incremental Tri-Partite Approach To Ontology Learning

... The literature on ontology learning is extensive. Here we concentrate on the most important work that has influenced our thinking. The original inspiration for using lexico- syntactic patterns is Hearst ...

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A case study on sepsis using PubMed and Deep Learning for ontology learning

A case study on sepsis using PubMed and Deep Learning for ontology learning

... extracted ontology – called here PubMed Ontology LEarning Ontology for Sepsis (POLEOS) – refers to the OWL-DL ontology built programmatically out of the n top-ranked candidate terms ...

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Ontology Learning System For Cross Language Plagiarism Detection

Ontology Learning System For Cross Language Plagiarism Detection

... on Ontology Learning System, helps in extracting the conceptual knowledge from input and building ontology from them with the help of machine learning ...

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Dynamic Integration of Multiple Evidence Sources for Ontology Learning

Dynamic Integration of Multiple Evidence Sources for Ontology Learning

... current ontology learning methods primarily make use of a single evidence source and are agnostic in their internal representations to the evolution of ontology ...continuous ontology ...

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Research on OWL Ontology Learning Method Based on Relational Schema

Research on OWL Ontology Learning Method Based on Relational Schema

... Ontology learning, also known as ontology extraction, is a process of automatically or semi-automatically obtaining ontology from relevant data sources by using machine learning, ...

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On2L – A Framework for Incremental Ontology Learning in Spoken Dialog Systems

On2L – A Framework for Incremental Ontology Learning in Spoken Dialog Systems

... The idea of acquiring knowledge exactly at the time it is needed is new and became extremely useful with the emergence of open-domain dia- log systems. Before that, more or less complete ontologies could be modeled for ...

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Dynamic Integration of Multiple Evidence Sources for Ontology Learning

Dynamic Integration of Multiple Evidence Sources for Ontology Learning

... existing ontology learning system [Weichselbraun et ...all ontology elements at a given time, thereby supporting and enabling a wide range of ontology evolution ...

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Domain Ontology Learning Enhanced by Optimized Relation Instance in DBpedia

Domain Ontology Learning Enhanced by Optimized Relation Instance in DBpedia

... an ontology learning method following He’s (2014) method, which followed the well-known Ontology Learning From Text (OLFT) cake layer framework (Cimiano, ...the ontology learning ...

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Quantitative and Qualitative Evaluation of the OntoLearn Ontology Learning System

Quantitative and Qualitative Evaluation of the OntoLearn Ontology Learning System

... in ontology building projects, therefore we report his valuable comment: “some of the descriptions would not be appropriate to take them over in a tourism ontology just as they ...

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achievement standards, learning activity, learning ontology, learning path, syllabus management

achievement standards, learning activity, learning ontology, learning path, syllabus management

... curriculum ontology in order to organize various semantic relationships, which include hasSubtype , prerequisiteOf , basicOf , advancedOf , combinedOf , and so on, existing between ...curriculum ontology ...

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Ontology Learning Design toward Supporting Designer

Ontology Learning Design toward Supporting Designer

... the learning design language and include three components, originally identified as the main elements, they are: Roles, Activities, ...either learning activities or support activities; and Environment is ...

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Effective Semantic Class Learning from the Web With Ontology

Effective Semantic Class Learning from the Web With Ontology

... Ontology learning from web service description can be performed at different levels of granularity, starting from the finest (XML schema leaf element names which are either of built-in XSD types or defined ...

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An Ontology-based Model for Contextual Recommendations in e-learning

An Ontology-based Model for Contextual Recommendations in e-learning

... term ontology refers to the formal and explicit description of domain concepts, which are often conceived as a set of entities, relations, instances, functions, and ...describing learning fields and build a ...

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Ontology based Semantic e Learning Model– A Review

Ontology based Semantic e Learning Model– A Review

... blended learning. It is not a blended learning model as such, rather it is a model to develop blended ...blended learning, layered approach. Five layers: blended learning courses, course ...

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