Intelligent search on integrated knowledge base of traditional Chinese medicine

To semantically integrate heterogeneous resources and provide a unified intelligent access interface, semantic web technology is exploited to publish and interlink machineunderstandable resources so that intelligent search can be supported. TCMSearch, a deployed intelligent search engine for traditional Chinese medicine （TCM）, is presented. The core of the system is an integrated knowledge base that uses a TCM domain ontology to represent the instances and relationships in TCM. Machine-learning techniques are used to generate semantic annotations for texts and semantic mappings for relational databases, and then a semantic index is constructed for these resources. The major benefit of representing the semantic index in RDF/OWL is to support some powerful reasoning functions, such as class hierarchies and relation inferences. By combining resource integration with reasoning, the knowledge base can support some intelligent search paradigms besides keyword search, such as correlated search, semantic graph navigation and concept recommendation.

Detection of natural structures and classification of HCI-HPR data using robust forward search algorithm

Purpose-The purpose of this paper is to proposes a forward search algorithm for detecting and identifying natural structures arising in human-computer interaction(HCI)and human physiological response(HPR)data.Design/methodology/approach-The paper portrays aspects that are essential to modelling and precision in detection.The methods involves developed algorithm for detecting outliers in data to recognise natural patterns in incessant data such as HCI-HPR data.The detected categorical data are simultaneously labelled based on the data reliance on parametric rules to predictive models used in classification algorithms.Data were also simulated based on multivariate normal distribution method and used to compare and validate the original data.Findings-Results shows that the forward search method provides robust features that are capable of repelling over-fitting in physiological and eye movement data.Research limitations/implications-One of the limitations of the robust forward search algorithm is that when the number of digits for residuals value is more than the expected size for stack flow,it normally yields an error caution;to counter this,the data sets are normally standardized by taking the logarithmic function of the model before running the algorithm.Practical implications-The authors conducted some of the experiments at individual residence which may affect environmental constraints.Originality/value-The novel approach to this method is the detection of outliers for data sets based on the Mahalanobis distances on HCI and HPR.And can also involve a large size of data with p possible parameters.The improvement made to the algorithm is application of more graphical display and rendering of the residual plot.

Power Hearing Better Tech and Funding Fuel Search for Intelligent Life Beyond Earth

这是一篇有关外星智能探索的最新报道。Are we alone in thegalaxy?从早期的无线电信号到现代的大型望远镜阵,人类对地外文明探索的脚步从未停止过。科技空前发展、资金相对充足,笑容不仅洋溢在科学家的脸上,希望也会在每一个相信地外文明存在的人心中升起。