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Justin Wu Liming Xie Guosong Hong Hong En Lim Boanerges Thendie Yasumitsu Miyata Hisanori Shinohara Hongjie Dai 《Nano Research》2012,5(6):388-394
Semiconducting single-walled carbon nanotubes (s-SWNTs) with a purity of ∼98% have been obtained by gel filtration of arc-discharge
grown SWNTs with diameters in the range 1.2–1.6 nm. Multi-laser Raman spectroscopy confirmed the presence of less than 2%
of metallic SWNTs (m-SWNTs) in the s-SWNT enriched sample. Measurement of ∼50 individual tubes in Pd-contacted devices with
channel length 200 nm showed on/off ratios of >104, conductances of 1.38–5.8 μS, and mobilities in the range 40–150 cm2·V/s. Short channel multi-tube devices with ∼100 tubes showed lower on/off ratios due to residual m-SWNTs, although the on-current
was greatly increased relative to the devices made from individual tubes.
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SwetoDblp ontology of Computer Science publications 总被引:2,自引:0,他引:2
Boanerges Aleman-Meza Farshad Hakimpour I. Budak Arpinar Amit P. Sheth 《Journal of Web Semantics》2007,5(3):151-155
SwetoDblp is a large populated ontology with a shallow schema yet a large number of real-world instance data. We describe how such ontology is built from an XML source and how it can be maintained. Instead of a one-to-one mapping from XML to RDF, the creation of the ontology emphasizes the addition of relationships and the value of URIs. SwetoDblp is publicly available online. We also summarize research efforts that have used or are using this freely available community resource. 相似文献
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Ranking complex relationships on the semantic Web 总被引:1,自引:0,他引:1
Aleman-Meza B. Halaschek-Weiner C. Arpinar I.B. Cartic Ramakrishnan Sheth A.P. 《Internet Computing, IEEE》2005,9(3):37-44
Industry and academia are both focusing their attention on information retrieval over semantic metadata extracted from the Web, and it is increasingly possible to analyze such metadata to discover interesting relationships. However, just as document ranking is a critical component in today's search engines, the ranking of complex relationships would be an important component in tomorrow's semantic Web engines. This article presents a flexible ranking approach to identify interesting and relevant relationships in the semantic Web. The authors demonstrate the scheme's effectiveness through an empirical evaluation over a real-world data set. 相似文献
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