An ontology and metadata for online learning resource repository management is constructed. First, based on the analysis of the use-case diagram, the upper ontology is illustrated which includes resource library ontol...An ontology and metadata for online learning resource repository management is constructed. First, based on the analysis of the use-case diagram, the upper ontology is illustrated which includes resource library ontology and user ontology, and evaluated from its function and implementation; then the corresponding class diagram, resource description framework （RDF） schema and extensible markup language （XML） schema are given. Secondly, the metadata for online learning resource repository management is proposed based on the Dublin Core Metadata Initiative and the IEEE Learning Technologies Standards Committee Learning Object Metadata Working Group. Finally, the inference instance is shown, which proves the validity of ontology and metadata in online learning resource repository management.展开更多
The development of microblog services has a considerable etfect on the patterns oI wed access and Internet resources discovery. Understanding the interrelation between information diffusion in online social media and ...The development of microblog services has a considerable etfect on the patterns oI wed access and Internet resources discovery. Understanding the interrelation between information diffusion in online social media and user web interests can help the web ecosystem stakeholders in developing new services and designing efficient systems with optimized resources. This paper explores whether or not one can infer the trends of topics in the web by observing the Twitter microcosm. Using data- sets collected from Twitter and two representative web services （Google and Alexa）, this work con- ducts a comparative analysis between trending patterns of topics in Twitter and in the web by consid- ering both the temporal and spatial perspectives, and finds that individual topics in Twitter and in the web share similar trending patterns both from the temporal and spatial aspects. Nevertheless, the tren- diness in Twitter can precede for a few hours and is highly unstable compared to the one in web. The application of these findings is also discussed on ad keywords planning in Search Engine Marketing.展开更多
基金The Advanced University Action Plan of the Minis-try of Education of China (2004XD-03).
文摘An ontology and metadata for online learning resource repository management is constructed. First, based on the analysis of the use-case diagram, the upper ontology is illustrated which includes resource library ontology and user ontology, and evaluated from its function and implementation; then the corresponding class diagram, resource description framework （RDF） schema and extensible markup language （XML） schema are given. Secondly, the metadata for online learning resource repository management is proposed based on the Dublin Core Metadata Initiative and the IEEE Learning Technologies Standards Committee Learning Object Metadata Working Group. Finally, the inference instance is shown, which proves the validity of ontology and metadata in online learning resource repository management.
基金Supported by the Beijing Municipal Natural Science Foundation(No.2015AA010201)
文摘The development of microblog services has a considerable etfect on the patterns oI wed access and Internet resources discovery. Understanding the interrelation between information diffusion in online social media and user web interests can help the web ecosystem stakeholders in developing new services and designing efficient systems with optimized resources. This paper explores whether or not one can infer the trends of topics in the web by observing the Twitter microcosm. Using data- sets collected from Twitter and two representative web services （Google and Alexa）, this work con- ducts a comparative analysis between trending patterns of topics in Twitter and in the web by consid- ering both the temporal and spatial perspectives, and finds that individual topics in Twitter and in the web share similar trending patterns both from the temporal and spatial aspects. Nevertheless, the tren- diness in Twitter can precede for a few hours and is highly unstable compared to the one in web. The application of these findings is also discussed on ad keywords planning in Search Engine Marketing.
