SINA: Semantic interpretation of user queries for question answering on interlinked data

The architectural choices underlying Linked Data have led to a compendium of data sources which contain both duplicated and fragmented information on a large number of domains. One way to enable non-experts users to access this data compendium is to provide keyword search frameworks that can capitalize on the inherent characteristics of Linked Data. Developing such systems is challenging for three main reasons. First, resources across different datasets or even within the same dataset can be homonyms. Second, different datasets employ heterogeneous schemas and each one may only contain a part of the answer for a certain user query. Finally, constructing a federated formal query from keywords across different datasets requires exploiting links between the different datasets on both the schema and instance levels. We present Sina, a scalable keyword search system that can answer user queries by transforming user-supplied keywords or natural-languages queries into conjunctive SPARQL queries over a set of interlinked data sources. Sina uses a hidden Markov model to determine the most suitable resources for a user-supplied query from different datasets. Moreover, our framework is able to construct federated queries by using the disambiguated resources and leveraging the link structure underlying the datasets to query. We evaluate Sina over three different datasets. We can answer 25 queries from the QALD-1 correctly. Moreover, we perform as well as the best question answering system from the QALD-3 competition by answering 32 questions correctly while also being able to answer queries on distributed sources. We study the runtime of SINA in its mono-core and parallel implementations and draw preliminary conclusions on the scalability of keyword search on Linked Data.     

结合RDF实现对XML文档的RBAC

文章提出了一种面向XML文档的基于XMLschema并结合RDF的访问控制模型,它实现了对XML文档的细粒度的安全访问控制,同时提供了对XML文档中associationsecurityobject的安全访问控制。     

适用于高速长途DWDM系统的色散管理线路

对于高速长途密集波分复用（DWDM）传输，必需采用各种各样的色散补偿、色散管理技术，其中，交替使用正负色散光纤构成色散管理线路（DML）是可行的解决方案之一，在国际上已经取得显著进展，正成为人们关注的焦点，国内在这方面的研究报道还少见.文章以高速长途DWDM系统对传输线路的性能要求为基础，综述了有代表性的3种不同类型的DML的特点和最新进展。     

Municipal solid waste conversion to energy

In recent years it has been recognised by an increasing number of nations that there is considerable energy potential within MSW. As a result many countries have established R,D& D programmes to examine methods of exploiting this potential. The IEA's MSW Conversion Activity was set up in 1986 to provide an infrastructure for sharing information and co-ordinating work in this area internationally. This Activity was extended in 1989 and currently a total of 9 nations participate in it.

To cope with the wide scope of the area (encompassing both biological and thermal processing of MSW) the Activity was divided into three subgroups or Expert Working Groups (EWGs). Each of these dealt with a distinct area of expertise:

1. •Downstream effects of source separation and screening of MSW

2. •Sampling and analytical protocols

3. •Landfill gas

In addition to these groups a central secretariat based at Harwell (UK) has provided guidance, established and administered databases of contacts and produced a series of national reports.

This paper describes the achievements of the Activity and discusses work proposed for the future.     

煤与垃圾衍生燃料的流化床混烧试验研究

使用鼓泡流化床燃烧炉进行了煤与垃圾衍生燃料(RDF)的混烧实验研究,分析了燃烧尾气中O2、CO、CO2、H2O、NOx、CH4、SO2、HCl、HCN浓度的变化,并对各成分之间的浓度进行了相关性分析。研究结果表明在750~900℃的范围内,高温利于SO2的脱除;NO的浓度随床温的提高而增加,NO2的浓度与床温的关系不大;HCl的浓度随床温的升高而增加,说明高温不利于HCl的脱除;在空气量较低的情况下,CO、CH4、N2O、HCN等气体的浓度较高,相关分析表明,这些气体浓度之间有较强的正相关关系,说明这些气体适宜于还原气氛下生成;随着HCl气体浓度的增加,SO2浓度降低,说明HCl的存在可促进石灰石脱除SO2的反应,同时还证实煤与RDF混烧可使尾气中的SO2和HCl气体浓度均有所下降。     

P2P网络中基于RDF/S的数据库语义查询系统设计*

提出一种P2P网络环境下基于RDF/S 数据模型的数据库语义查询原型系统,可以有效地对各种基于ODBC的异构数据源进行语义查询。首先数据内容经RDF/S描述成RDF/S schema片断形式,然后对片段进行编码,再把编码杂凑到DHT中,就可以使用Chord协议定位目标节点。     

APPLICATION OF MAXIMUM ENTROPY METHOD TO CALCULATE RDF OF Ni-P AMORPHOUS ALLOY FROM X-RAY DIFFRACTION DATA

Experiments clarified that application of the maximum entropy method to calculate the RDF(radial distribution function)of the Ni-P amorphous alloy from fewer data of its X-raydiffraction data shows a higher resolution and good consistent with known results.It is be-lieved that this method is available for the analysis of amorphous structure.     

YARM:基于MapReduce的高效可扩展的语义推理引擎

随着语义网的快速发展,RDF语义数据大量涌现.大规模RDF语义数据推理的一个主要问题是计算量大、完成计算需要消耗很长的时间.显然,传统的单机语义推理引擎难以处理大规模的语义数据.另一方面,现有的基于MapReduce的大规模语义推理引擎,缺乏对算法在分布和并行计算环境下执行效率的优化,使得推理时间仍然较长.此外,现有的推理引擎大多存在可扩展性方面的不足,难以适应大规模语义数据的增长需求.针对现有的语义推理系统在执行效率和可扩展性方面的不足,文中提出了一种基于MapReduce的并行化语义推理算法和引擎YARM.为了实现分布和并行计算环境下的高效推理,YARM做出了以下4点优化:(1)采用合理的数据划分模型和并行化算法,降低计算节点间的通信开销;(2)优化推理规则的执行次序,提升了推理计算速度;(3)设计了简洁的去重策略,避免新增作业处理重复数据;(4)设计实现了一种新的基于MapReduce的并行化推理算法.实验结果表明,在真实数据集和大规模合成数据集上,YARM的执行速度比当前最新的基于MapReduce的推理引擎快10倍左右,同时YARM还表现出更好的数据和系统可扩展性.