AUTOMATIC PATENT DOCUMFNT SUMMARIZATION FOR COLLABORATIVE KNOWLEDGE SYSTEMS AND SERVICES

Engineering and research teams often develop new products and technologies by referring to inventions described in patent databases. Efficient patent analysis builds R&D knowledge, reduces new product development time, increases market success, and reduces potential patent infringement. Thus, it is beneficial to automatically and systematically extract information from patent documents in order to improve knowledge sharing and collaboration among R&D team members. In this research, patents are summarized using a combined ontology based and TF-IDF concept clustering approach. The ontology captures the general knowledge and core meaning of patents in a given domain. Then, the proposed methodology extracts, clusters, and integrates the content of a patent to derive a summary and a cluster tree diagram of key terms. Patents from the International Patent Classification (IPC) codes B25C, B25D, B25F (categories for power hand tools) and B24B, C09G and H011 (categories for chemical mechanical polishing) are used as case studies to evaluate the compression ratio, retention ratio, and classification accuracy of the summarization results. The evaluation uses statistics to represent the summary generation and its compression ratio, the ontology based keyword extraction retention ratio, and the summary classification accuracy. The results show that the ontology based approach yields about the same compression ratio as previous non-ontology based research but yields on average an 11% improvement for the retention ratio and a 14% improvement for classification accuracy.     

关联规则挖掘及其在高校图书馆工作中的应用

介绍了关联规则的基本原理,阐述了关联挖掘分析的过程及结果,论述了关联挖掘分析结果在图书馆工作中的应用。     

系统科学与中医方法论

中医学中蕴含着很多系统理论的朴素思想值得我们去科学地继承、发扬和发展.近五年多我们参加了名老中医经验和思想传承的数据挖掘研究项目,更使我们坚信钱老的一些对中医的重要观点:"中医的理论是宝贝,但是需要中医现代化".当然中医界和我们系统科学界能共同携手则会加快这个进程.钱学森认为人体是个开放的复杂巨系统,自然要应用从定性到定量综合集成系统方法论.这个方法论强调要把专家的经验和智慧吸取进来,强调人机结合以人为主,强调要从定性到定量等.在此基础上我们开发专家挖掘的理论、方法和工具对我国部分名老中医的经验和思想加以发掘,取得了一些有益的成果.     

E时代图书馆员隐性知识挖掘与整合新探

本文根据高校图书馆的实际情况,简要阐述了开发隐性知识的必要性,并就隐性知识整合中需注意的问题及具体挖掘路径给予充分的论证。     

Prediction of β -turns using double BP network with novel coding schemes of amino acids

Protein structure prediction is one of the most important problems in structural biology. β-turns are always at the turn of a protein tertiary structure and thus β-turn’s prediction is a key step in tertiary structure prediction. There are some methods to predict β-turns based on machine learning techniques such as k-nearest method, neural networks and support vector machine. In this paper, we construct a classifier using double BP networks and put forward two novel methods to code amino acids in the second network. When trained and tested on different datasets, they achieve more accuracy than other coding methods.      

对晋中市矿区土地复垦工作的思考

介绍了晋中市矿产资源优势及分布情况,结合晋中市的具体特点,探讨了矿区土地复垦工作的必要性、紧迫性和意义,并对其未来进行了展望。     

模糊状态演化模式挖掘的研究

分析了状态演化模式挖掘(SEPM)过程中的不确定性,将模糊的思想引入SEPM中,提出了模糊状态演化模式挖掘(FSEPM)的概念并对其进行了算法实现;在此基础上,对FSEPM进行了基于有效支持度的改进。     

激发极化法与高密度法在老盘道银多金属矿区的应用效果

介绍了内蒙古克什克腾旗老盘道银多金属矿区地质构造,应用激发极化法探测该地区,并对探测效果进行了分析。     

Data Mining Based on Computational Intelligence

This paper combines computational intelligence tools: neural network, fuzzy logic, and genetic algorithm to develop a data mining architecture (NFGDM). which discovers patterns and represents them in understandable forms. In the NFGDM. input data are preprocessed by fuzzification, the preprocessed data of input variables are then used to train a radial Basis probabilistic neural network to classify the dataset according to the classes considered. A rule extraction technique is then applied in order to extract explicit knowledge from the trained neural networks and represent it in the form of fuzzy if-then rules. In the final stage, genetic algorithm is used as a rule-pruning module to eliminate those weak rules that are still in the rule bases. Comparison with some known neural network classifier, the architecture has fast learning speed, and it is characterized hy the incorporation of the possibillty information into the consequents of classification rules in human understandable forms. The experiments show that the NFGDM is more efficient and more robust than traditional decision tree method.     

综采面开切眼锚杆支护技术的应用

介绍了西峪煤矿3405综采面3号煤层的地质概况,经过比较、选择,确定3405综采面开切眼采用锚杆支护,进行了巷道锚杆支护参数设计及巷道矿压监测,阐述了施工要点及支护效果。