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首页> 外文期刊>International Journal of Autonomic Computing >Ontology design and development using ontology editors along with semantic search patterns towards intelligent retrieval of information on web: case studies
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Ontology design and development using ontology editors along with semantic search patterns towards intelligent retrieval of information on web: case studies

机译：使用本体编辑器和语义搜索模式进行本体设计和开发，以实现对网络信息的智能检索：案例研究

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In the present era of transition from Web 2.0 to an Intelligent Web 3.0, Sir Tim Berner's LEE Semantic Web layered architecture, is playing a key role for its significant layer issues where ontology is a milestone in incorporating semantics and in conceptualising shared knowledge of a particular domain or several domains. Ontology development using ontology editors is crucial which may be best realised with case studies. To endow the web itself with intelligence, the need is to provide semantic annotations search patterns on web documents of an ontology where semantic annotation attaches metadata to the documents, pointing to concepts and properties in an ontology and is the glue that ties ontologies into document spaces, via metadata where information is typically exported as text annotated with links to the ontology. Two case studies on ontology development have been presented using protege and swoop ontology editors. First, an extended case study of a 'Sports Complex Ontology' is presented using protege 3.4.4 along with an ontology flowchart and using SWOOP 2.3 Beta 4 Ontology Editor is presented highlighting various features like Venn diagram of class hierarchy, fly the mothership, pellet query instance search, ontology partition, adding annotation property, etc. Second, various semantic annotation search patterns based on 'pattern', 'Boolean', and 'facets' have been presented using KIM platform. Third, another case study illustration of a 'Dwarka Shopping Complex Ontology' is presented using SWOOP 2.3 Beta 4 Editor highlighting LHS and RHS of GCI, instances with and without GCI axioms, query retrieval look up, adding property, class expression table and ontology statistics.
机译：在从Web 2.0过渡到Intelligent Web 3.0的当今时代，Tim Berner爵士的LEE Semantic Web分层体系结构在其重要的层问题上发挥了关键作用，其中本体是合并语义和概念化特定对象共享知识的里程碑域或多个域。使用本体编辑器进行本体开发至关重要，这可以通过案例研究来最好地实现。为了使Web本身具有智能，需要在本体的Web文档上提供语义标注搜索模式，其中语义标注将元数据附加到文档，指向本体中的概念和属性，并且是将本体与文档空间联系起来的粘合剂。 ，通过元数据将信息通常导出为带有本体链接的文本。已经使用protege和swoop本体编辑器介绍了两个有关本体开发的案例研究。首先，使用protege 3.4.4和本体流程图介绍了'Sports Complex Ontology'的扩展案例研究，并使用SWOOP 2.3 Beta 4 Ontology Editor介绍了各种功能，例如类层次的Venn图，飞行母舰，弹丸。查询实例搜索，本体分区，添加注释属性等。其次，使用KIM平台提出了基于“模式”，“布尔”和“构面”的各种语义注释搜索模式。第三，使用SWOOP 2.3 Beta 4编辑器展示了另一种'Dwarka Shopping Complex Ontology'的案例研究插图，突出显示了GCI的LHS和RHS，带有和不带有GCI公理的实例，查询检索查找，添加属性，类表达表和本体统计信息。

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