尊敬的各位老师和同学： 感谢您对汤森路透的持续关注！本月第二期 ISI Web of Knowledge 应用技巧已新鲜出炉，内容如下： 1.4 如何找到某个课题的综述文献？ 在科学研究过程中往往需要从宏观上把握国内外在某一研究领域或专题的主要研究成果、最新进展、研究动态、前沿问题或历史背景、前人工作、争论焦点、研究现状和发展前景等内容，如何快速获取这些信息呢？您可以通过检索综述性文献来方便高效地找到信息。 1．访问Web of Science数据库检索课题 请访问： www.isiknowledge.com ， 进入ISI Web of Knowledge平台； 选择Web of Science数据库。 如：我们想快速找到有关2007年诺贝尔物理奖获奖课题巨磁电阻效应-Giant Magnetoresistance的综述文献。 2．精炼检索结果 在检索结果界面上，通过左侧的精炼检索结果功能您可以快速的了解该课题涉及的学科、文献类型、作者、机构、国家等，甚至通过文献类型选项锁定该课题的高质量综述文献。 结论：通过Web of Science提供的强大的精炼检索结果功能，您可以在文献类型选项下选择Review ，立即从众多的检索结果中锁定高质量的综述。帮助您在检索时更加精准，从而提高您的科研效率。 了解更多详情，请参见： http://www.thomsonscientific.com.cn/tips/index.htm
From: http://msw.deri.ie/ Although knowledge processing on the Semantic Web is inherently language-independent, human interaction with semantically structured and linked data will remain inherently language-based as this will be done preferably by use of text or speech input in many different languages. Semantic Web development will therefore be increasingly concerned with knowledge access to and generation in/from multiple languages, i.e., in: multilingual querying of knowledge repositories and linked data multilingual knowledge and result presentation in semantic search multilingual verbalization of ontology structure in ontology engineering ontology-based information extraction from multilingual text and semi-structured data ontology learning from multilingual text and semi-structured data Multilinguality is therefore an emerging challenge to Semantic Web development and to its global acceptance across language communities around the world. The workshop will therefore be concerned with discussion of new infrastructures, architectures, algorithms etc. that will enable easy adaptation of Semantic Web applications to multiple languages, addressing issues in representation, extraction, integration, presentation etc. Expected Topics models for the integration of linguistic information with ontologies architectures and infrastructure for a truly multilingual Semantic Web models for multilinguality in knowledge representation, in particular OWL and RDF(S) localization of ontologies to multiple languages, incl. label translation, multilingual terms adaptation of (multilingual) lexicons to ontologies automatic integration of (multilingual) lexicons with ontologies multilingual cross-lingual ontology-based information extraction ontology population multilingual aspects of semantic search querying of knowledge repositories multilinguality and linked data (generation, querying, visualization presentation) multilingual aspects of ontology verbalization ontology learning across languages Important Dates Submission Deadline: February 21st, 2010 Notification: March 19th, 2010 Camera-ready Deadline: April 1st, 2010 Workshop: April 26th or 27th, 2010 Organizing Committee Paul Buitelaar Unit for Natural Language Processing , DERI - National University of Ireland, Galway http://www.paulbuitelaar.net/ Philipp Cimiano Semantic Computing Group, Cognitive Interaction Technology Excellence Cluster (CITEC) Bielefeld University, Germany http://www.cimiano.de Elena Montiel-Ponsoda Ontology Engineering Group, Departamento de Inteligencia Artificial Universidad Politcnica de Madrid, Espaa emontiel(at)delicias.dia.fi.upm.es Program Committee Guadalupe Aguado de Cea , Universidad Politcnica de Madrid - Artificial Intelligence Department, Spain Nathalie Aussenac-Gilles , IRIT, Toulouse - Knowledge Engineering, Cognition and Cooperation, France Timothy Baldwin , Univ. of Melbourne - Language Technology Group, Australia Roberto Basili , Universita Tor Vergata, Rome - Artificial Intelligence group, Italy Chris Bizer , Freie Universitt Berlin - Web-based Systems Group, Germany Francis Bond , NICT - Language Infrastructure Group, Japan Christopher Brewster , Aston University - Operations and Information Management Group, UK Dan Brickley , Vrije Universiteit FOAF project, the Netherlands Nicoletta Calzolari , ILC-CNR - Computational Linguistics Institute, Italy Manuel Tomas Carrasco Benitez , European Commission, Luxembourg Key-Sun Choi , KAIST - Semantic Web Research Center, South-Korea Thierry Declerck , DFKI - Language Technology Lab, Germany Aldo Gangemi , ISTC-CNR - Semantic Technology Laboratory, Italy Asuncion Gmez Prez , Universidad Politcnica de Madrid - Artificial Intelligence Department, Spain Gregory Grefenstette , Exalead, France Siegfried Handschuh , DERI, Nat. Univ. of Ireland, Galway - Semantic Collaborative Software Unit, Ireland Michael Hausenblas , DERI, Nat. Univ. of Ireland, Galway - Data Intensive Infrastructures Unit, Ireland Ivan Herman , CWI W3C, the Netherlands Chu-Ren Huang , Hong Kong Polytechnic University - Dept. of Chinese and Bilingual Studies, Hong Kong Antoine Isaac , Vrije Universiteit - Web and Media Group, the Netherlands Ernesto William De Luca , Universitt Magdeburg - Data and Knowledge Engineering Group, Germany Paola Monachesi , Universiteit Utrecht - Institute of Linguistics, the Netherlands Sergei Nirenburg , University of Maryland - Institute for Language and Information Technologies, USA Alessandro Oltramari , ISTC-CNR - Laboratory for Applied Ontology Univ. of Padua, Italy Jacco van Ossenbruggen , CWI - Semantic Media Interfaces VU - Intelligent Systems, the Netherlands Wim Peters , University of Sheffield - Natural Language Processing group, UK Laurette Pretorius , University of South Africa - School of Computing, South-Africa James Pustejovsky , Brandeis University CS Dept., Lab for Linguistics and Computation, USA Maarten de Rijke , Univ. van Amsterdam - Information and Language Processing Systems, the Netherlands Felix Sasaki , W3C deutsch-sterr. Bro FH Potsdam, Germany Martin Volk , Universitt Zrich - Institute of Computational Linguistics, Switzerland Piek Vossen , Vrije Universiteit - Dept. of Language, Cognition and Communication, the Netherlands Yong Yu , Shanghai Jiao Tong University - APEX Data Knowledge Management Lab, China var sc_project=5409784; var sc_invisible=1; var sc_partition=49; var sc_click_stat=1; var sc_security="217098ed";
尊敬的各位老师和同学： 感谢您对汤森路透的持续关注，为了帮助大家更好地了解和使用我们的 Web of Science 数据库，我们特意推出了有效使用 Web of Science 数据库的在线音频培训课程，教您如何轻松选题、快乐写作、有效投稿、展示成果。 以下是2010年1月 Web of Science 在线音频培训课程简介及其链接，敬请点击查看： Web of Science 在线音频培训课程 l 认识 SCI ( 00:19 ) 什么是 SCI ？ Web of Science？ 我们为什么要使用 Web of Science 进行科研？ 高质量的引文索引给我们带来什么独特的体验？ https://thomsonscientific.webex.com/thomsonscientific-sc/k2/e.php?AT=RINFrecordingID=49828322 l 轻松选题 (00:43) 如何概览课题？如何锁定高影响力论文？如何分析课题趋势？ 系统介绍引文报告功能、排序功能、分析检索结果功能等进行轻松选题。 https://thomsonscientific.webex.com/thomsonscientific-sc/k2/e.php?AT=RINFrecordingID=49828332 l 快乐写作 (00:24) 如何利用 SCI 数据库高被引论文写好论文标题摘要？如何自动插入参考文献并按照投稿期刊进行格式化？ https://thomsonscientific.webex.com/thomsonscientific-sc/k2/e.php?AT=RINFrecordingID=49828337 l 有效投稿 (00:30) 您想为您的科研论文找一个情投意合、门当户对的期刊进行投稿吗？您想快速有效提高您的论文投稿命中率吗？ SCI 与 JCR 数据库的有效分析与评价，给您一双慧眼，助您有条不紊地理性投稿。 https://thomsonscientific.webex.com/thomsonscientific-sc/k2/e.php?AT=RINFrecordingID=49953762 l 展示成果 (00:09) 全球研究人员的学术社区，给您一个展示您科研成果的免费广告平台，帮助您更好的与同行交流。 https://thomsonscientific.webex.com/thomsonscientific-sc/k2/e.php?AT=RINFrecordingID=49953907 汤森路透 北京市海淀区科学院南路 2 号融科资讯中心 C 座南楼 1211 邮编： 100190 电话： +86-10 82862099 传真： +86-10 82862088 邮箱： ts.info.china@thomson.com 网站： http://www.thomsonscientific.com.cn/
The RDF data model is similar to classic conceptual modeling approaches such as Entity-Relationship or Class diagrams, as it is based upon the idea of making statements about resources (in particular Web resources) in the form of Subject-predicate-object expressions. These expression are known as TRIPLES in RDF terminology. The subject denotes the resources, and the predicate denots trait or aspects of the resource and expresses a relationship between the subject and the object. For example, one way to represent the notion The sky has color blue in RDF is as the triple: a subject denoting the sky, a predicate denoting has the color, and an object denoting blue. RDF is an abstract model with several serialization formats (i.e. file formats), and so the particular way in which a resource or triple is encoded varies from format to format. This mechanism for describing resources is a major component in what is proposed by the W3C's Semantic Web activities: an evolutionary stage of the WWW in which automated software can store, exchange, and use machine-readable information distributed throughout web, in turn enabling users to deal with the information with greater efficiency and certainty. RDF's simple data modes and ablility to model desparate, abstracy concepts has also led to its increasing use in knowledge management applications unrelated to semantic web activity. A collection of RDF statements intrinsically represents a labeled, directed multi-graph. As such, an RDF-based data model is more naturally suited to certain kinds of knowledge representaiton than the relational model and other ontological models traditionally used in computing today. However, in practice, RDF data is often persisted in relational database or native representations also called Triplestores, or Quad store if context (i.e. the named graph) is also persited for each RDF triple. As RDFS and OWL demonstrate, additional ontoloty languages can be built upon RDF.
For a whole month, I was taking time off for remodeling at home. Each morning, I would take my son to school and then make a quick stop at my office to check my numerical experiments. Since I am only allowed to park next to my office building for 15 mins before 4 pm, there is very little I could do in such a hurry. Still, a quick stop allows me to check new output and submit new jobs. When there is a need, I would return after dinner to spend more time there. Yesterday was the first time I went back to work with an intention to stay. What a calm feeling that was! Since my office neighbors were either retired or on vacation, I was all by myself. It was so quiet and peaceful I was able to review all the recent experiments and make decisions about what to do next. In particular, I regained control of my personal Web page, which was moved to a different server a couple of weeks ago. This Web page is my lifeline to my collaborators, one in Maryland on the east coast, one in India, and one all over the world like a wandering soul. I am on a small island in the mid of the Pacific Ocean, but here is the action center of our NSF-funded project to unlock the mystery behind the Arabian Sea oxygen minimum zone. Every day at work (which could be a Saturday or Sunday), I analyze new model output by making various plots and then summarize these results. I condense the information and then post it on the Web. Yes, I am conversing with my computer screen all the time, as I am doing right now, talking to you, my Blog reader. A Web page is a great tool for research. Even if your collaborators are not so far away, I would still recommend you to try it. Here is why. 1) It helps me to organize my thoughts. I can access it while I am home when sudden an idea comes to me 2) It is a shared document for a group of people during a conference call. I use it as a PPT. Though my colleagues are supposed to be able to read it without my help, live discussions are always much more fruitful and fun. 3) Web page is green, since its paperless. No tree branches are wasted. Ok, not totally carbon neutral, since it still uses computers and electricity. p.s. Thank goodness my home remodeling is winding down. My contractors are great people. Believe it or not, I trust them. (I was taught NOT to trust anyone in U.S., but I think one has to trust someone sometime.) They give me good ideas and want the best for me. Of course, I have to pay for their work. BUT, how often can you pay to get rid of stresses, such as the ONES you would encounter while doing home renovation? I am so glad I can afford hiring these people.
WCS is the such an important service specification as WFS and WMS, which is familiar to us. Please read and understand the following sections: The Web Coverage Service（WCS） supports electronic retrieval of geospatial data as Coverages-- that is, digital geospatial information representation space -varying phenomena（Note:the spatial-temporal phenomena）WCS支持把地理空间数据当作Coverage的数字化信息提取，即：空间变化现象的数字化地理空间信息表达。 A WCS provides access to potentially detailed and rich sets of geospatial information, in forms that are useful for client-side rendering, multi-valued coverages, and input into scientific models and other clients. TheWCS may be compared to the OGC Web Map Service(WMS) and the Web Feature Service(WFS); like them it allows clients to choose portions of a server's information holdings based on spatial constraints and other criteria. Unlike the WMS, which portrays spatial data to return static maps (rendered as pictures by the server), the WCS provides available data together with their detailed description(在提供数据的同时，提供数据的详细描述); defines a rich syntax for requests against these data(定义了丰富的查询数据的句法); and returns data with its original semantics (instead of pictures) which may be interpreted, extrapolated, etc. - and not just portrayed.(可返回带有原始语义的数据，可以重新解释、推算，而不是仅仅进行描述) Unlike WFS, which returns discrete geospatial features, the WCS returns coverages representing space-varying phenomena that relate a spatio-temporal domain to a (possibly multidimensional) range of properties.(WCS返回表达和 可能是多维的 时空领域相关空间变化的现象关联到几个属性的一个范畴)
Web Password Hashing 信息来源于:http://crypto.stanford.edu/PwdHash/ Description Publications Download Challenges Project Staff Description The Common Password Problem. Users tend to use a single password at many different web sites. By now there are several reported cases where attackers breaks into a low security site to retrieve thousands of username/password pairs and directly try them one by one at a high security e-commerce site such as eBay. As expected, this attack is remarkably effective. A Simple Solution. PwdHash is an browser extension that transparently converts a user's password into a domain-specific password. The user can activate this hashing by choosing passwords that start with a special prefix ( @@ ) or by pressing a special password key (F2). PwdHash automatically replaces the contents of these password fields with a one-way hash of the pair (password, domain-name). As a result, the site only sees a domain-specific hash of the password, as opposed to the password itself. A break-in at a low security site exposes password hashes rather than an actual password.
标签: Web
