A Peer-to-Peer Approach to Web Service Discovery

Web Services are emerging as a dominant paradigm for constructing and composing distributed business applications and enabling enterprise-wide interoperability. A critical factor to the overall utility of Web Services is a scalable, flexible and robust discovery mechanism. This paper presents a Peer-to-Peer (P2P) indexing system and associated P2P storage that supports large-scale, decentralized, real-time search capabilities. The presented system supports complex queries containing partial keywords and wildcards. Furthermore, it guarantees that all existing data elements matching a query will be found with bounded costs in terms of number of messages and number of nodes involved. The key innovation is a dimension reducing indexing scheme that effectively maps the multidimensional information space to physical peers. The design and an experimental evaluation of the system are presented.     

GigaMatrix: an ultra high-throughput tool for accessing biodiversity

Recombinant approaches for tapping into the biodiversity present in nature for the discovery of novel enzymes and biosynthetic pathways can result in large gene libraries. Likewise, laboratory evolution techniques can result in large but potentially valuable libraries. Thorough screening of these libraries requires ultra high-throughput methods. The GigaMatrix^™ screening platform addresses this opportunity using reusable high-density plates with 100,000 to 1,000,000 through-hole wells in a microplate footprint. In addition to throughputs of over 10⁷ wells per day, the platform offers a significant reduction in reagent use and waste, has fully integrated automated “cherry picking,” and uses no complicated dispensing equipment. Wells containing putative hits from targeted fluorescent liquid phase assays are revealed by a fluorescent imaging system. Vision-guided robotics are utilized to recover hits by accessing individual 200 μm and smaller wells with a disposable sterile needle. The GigaMatrix platform has proven to be an effective and efficient tool for screening gene libraries for both discovery and evolution applications.     

Should There Be a Three-Strikes Rule Against Pure Discovery Learning?

The author's thesis is that there is sufficient research evidence to make any reasonable person skeptical about the benefits of discovery learning--practiced under the guise of cognitive constructivism or social constructivism--as a preferred instructional method. The author reviews research on discovery of problem-solving rules culminating in the 1960s, discovery of conservation strategies culminating in the 1970s, and discovery of LOGO programming strategies culminating in the 1980s. In each case, guided discovery was more effective than pure discovery in helping students learn and transfer. Overall, the constructivist view of learning may be best supported by methods of instruction that involve cognitive activity rather than behavioral activity, instructional guidance rather than pure discovery, and curricular focus rather than unstructured exploration. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

结合句子级别检索的信息检索模型

查询词之间的距离较为接近的文档,相关的可能性更大,将这种距离信息用于信息检索模型的构造可有效提高检索的性能。然而直接估计查询词在文档中的距离需要大量的训练文本,且计算复杂度高。该文提出了一种结合句子级别检索的信息检索模型,将文档分为若干个窗口,通过计算句子和查询的相关度考察查询词在给定窗口中的共现性,该方法可增大那些查询词彼此靠近的文档的相关度,从而使得检索模型可返回更为相关的文档。标准数据集上的实验结果表明所提出的模型可以取得较好的性能。     

利用TM图像进行干旱荒漠带牧区土地资源调查

选用TM卫片作为调查基础资料,结合地形图和局部地区大比例尺航片,完成了甘肃河西地域三个牧业县的土地利用现状调查,为遥感技术在干旱荒漠地带牧区进行土地资源调查找出了效果好、经济的方法。     

Knowledge Discovery for A Temporal Prediction Rules

We are obtaining a large database of some objects' records of fluctuations of a stock market,medical treatments,changes of weather in certain area and so on,where each record consists of multi-attributes taking multi-values changing with time. Our work is motivated by prediction,which is different from the work in 4,5,8,11. We want to help learn from past data and make informed decisions for the future. This paper is very significant to perfect the theory and the development of the temporal data mining.     

基于数据挖掘的数据库技术在转子故障知识发现中的应用方法研究

针对故障知识获取这一瓶颈难题,对基于数据挖掘的数据库技术去实现故障知识规则自动发现的方法进行了研究;在SQLSERVER 2005平台上,利用该平台提供的数据挖掘决策树算法,采用了将决策树算法与数据库系统的性能进行高效耦合的数据处理模式,建立了一种利用故障数据集自动获取故障知识规则的数据处理流程;最后利用转子故障实验获得的故障特征数据集进行的验证表明,该流程具有通过对故障数据集进行实时处理,自动建立起一种描述故障知识的决策树模型,并且通过对决策树枝进行结构元素的描述,可自动生成故障知识规则集合的功能;结果表明,SQL SERVER 2005数据挖掘平台提供的决策树算法,为基于故障数据资源的驱动挖掘出故障知识提供了一种新途径。     

基于用户-标签异构网络的社区问答专家发现方法

在Stack Overflow、Quora等社区问答网站中,日益增长的用户数使新问题数量急剧增加,传统的专家发现方法通常根据历史回答记录建立用户文档,再从中提取用户文本特征,难以及时寻找到合适的专家进行回答。针对该问题,提出一种社区问答中基于用户-标签异构网络的专家发现方法。根据用户历史回答记录和问题的附带标签构建用户-标签网络,以此得到用户的向量表示。在此基础上,使用全连接神经网络提取用户特征和问题文本特征,通过比较两者的余弦相似度得到候选专家列表。基于StackExchange的真实世界数据集进行测试,实验结果表明,与LDA、STM、RankingSVM和QR-DSSM方法相比,该方法的MRR指标值较高,能够准确寻找到可提供正确答案的专家。     

因特网上基于对等网络的服务网格平台构建

提出与描述了适合大规模因特网环境的对等网络服务网格平台PSGP(P2P-based Service Grid Platform)的设计、实现与性能评测.PSGP平台结合了对等网络技术、网格的Web Services技术、面向服务的框架技术,使得PSGP平台具有非集中性、可扩展性、互操作性与鲁棒性好的优点.使用对等网络的JXTA协议完成对等实体的组织、资源发现、服务调用的功能.通过设置对等实体的衔级、安全的认证机制等高级技术保证了平台的安全性与可信任机制.并行应用的案例测试表明,PSGP在对等实体的通信轮回时间、应用的吞吐量上,具有较好的性能,可以作为实现大规模的分布式模拟的可行方案.