Product Ontology and OWL Correspondence
Product Ontology and OWL Correspondence
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DOI：
10.1109/iedm.2008.4796677
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发表时间：
2008-01-01
期刊：
影响因子：
--
通讯作者：
Shim, J.
中科院分区：
文献类型：
--
作者：
Lee, H.;Shim, J.
提出了一种新的HfO 2基电阻存储器与TiN电极，并完全集成与0.18 μ m CMOS工艺。通过在类电容存储单元的阳极侧使用薄的Ti层作为反应缓冲层，（低至25 mu A），高开/关电阻比（大于1，000），快速开关速度（5 ns），令人满意的开关耐久性（> 10（6）个周期），和可靠的数据保持（在200摄氏度下10年外推）已经在我们的存储器设备中得到证明。此外，高成品率、在高温（200 ℃）下的稳定存储性能、出色的可扩展性和多级操作等优点使其有望在下一代非易失性存储器中得到应用。产品信息是电子商务应用中的核心组成部分。语义丰富和精确的产品信息可以提高商业交易的质量和有效性。最近的一种方法是采用本体建模的产品信息。一个基础是建立一个形式化的产品本体，它也可以在实践中应用。此外，以标准本体语言转换或发布产品本体可能是有益的。最著名的本体语言是OWL。在本文中，我们提出了如何每个产品本体的建模结构可以在OWL语言翻译。我们考虑到OWL提供的表达能力和复杂性的翻译每个建模构造，沿着其在该领域的实际使用。
A novel HfO2-based resistive memory with the TiN electrodes is proposed and fully integrated with 0.18 mu m CMOS technology. By using a thin Ti layer as the reactive buffer layer into the anodic side of capacitor-like memory cell, excellent memory performances, such as low operation current (down to 25 mu A), high on/off resistance ratio (above 1,000), fast switching speed (5 ns), satisfactory switching endurance (> 10(6) cycles), and reliable data retention (10 years extrapolation at 200 degrees C) have been demonstrated in our memory device. Moreover, the benefits of high yield, robust memory performance at high temperature (200 degrees C), excellent scalability, and multi-level operation promise its application in the next generation nonvolatile memory.Product information is a core component in an e-commerce application. Semantically enriched and precise product information may enhance the quality and effectiveness of business transactions. A recent approach is to employ the ontology to model the product information. A basis is to model a formal product ontology which can be also applicable in practice. In addition, it may be beneficial to transform or publish the product ontology in a standard ontology language. A most well-known ontology language is OWL. In this paper, we present how each modeling construct of product ontology can be translated in OWL language. We take into account of the expressiveness and complexity provided by OWL for the translation of each modeling construct, along with its practical usage in the domain.