Data Linkage

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Many areas of scientific discovery rely on combining data from multiples data sources. However there are many challenges in linking data. This presentation highlights these challenges in the context of using Linked Data for environmental and social science databases.

Data & Analytics

Data Linkage
Alasdair J G Gray
A.J.G.Gray@hw.ac.uk
alasdairjggray.co.uk
@gray_alasdair

Estuarine Flooding
 Financial implications
 Damage
 Loss of business
 Personal factors
 Emotional impact
 Flood prediction
 Locations
 Severity
 Requires correlating
 Sea-state data
 Weather forecasts
 Details of sea defences
 Response Planning
 Evacuation routes
 Personnel deployment
 …
 Requires more data
 Traffic reports
 Shipping
 …
8 April 2015 SICSA Env. & Social Databases 2
Image: http://www.metro.co.uk/

Flood Predication
Solent Use Case
 Busy shipping
channel
 Two major ports
 Complex tidal
and
wave patterns
8 April 2015 SICSA Env. & Social Databases 3

Flood
defences
data
(database)
Flood Detection
“Detect overtopping
events in the Solent
region”
sea-level >
sea-defence
•Sea-level: sensors
•Defence heights:
databases
8 April 2015 SICSA Env. & Social Databases 4
Real-time
sensor data
Wave,
Wind,
Tide

Meteorological
forecasts
Response Planning
“Provide contextual
information”
• Web feeds
• Other sources: maps,
models
• Real-time merging of
datasets
8 April 2015 SICSA Env. & Social Databases 5
Other sources:
Maps, models,
…

Data Linkage and Querying
Web of Data
8 April 2015 SICSA Env. & Social Databases 6

1. Global ID – URI
2. Resolvable ID
3. Useful content
 HTML for humans
 RDF for machines
4. Link to other resources
Like the Web,
but for data!
Linked Data Approach
8 April 2015 SICSA Env. & Social Databases 7
“RDF and OWL do not
solve the interoperability
problem, they just lay it
bare on the table!”

Olympics 2012
8 April 2015 SICSA Env. & Social Databases 8

Linking Data
8 April 2015 SICSA Env. & Social Databases 9

Querying Approach
Use ontologies as common model
Requires:
 Representation of data:
sensors and databases
 Establishing mappings between ontology
models and data source schemas
 Accessing data sources through queries
over ontology model
 Expressing continuous queries over sensors
8 April 2015 SICSA Env. & Social Databases 10

WSN Resource Concerns
 Energy
 Running off battery
 Computation Capabilities
 Limited CPU
 Limited memory
 Limited storage
 Radio Transmission
 Limited range
 Energy impact
 Lost transmissions
8 April 2015 SICSA Env. & Social Databases 12

Data Matching
Administrative Data Research Centre - Scotland
Messy data
Probabilistic matches
Schema matching
John Grant
Fisherman
Fiona Sinclair
Ian Grant
Smithy
Born: 1861
Stuart Adam
Wheelwright
Morag Scott
Flora Adam
Seamstress
Born: 1866
Married: 1884
John Grant
Farmer
Fiona Grant
Iain Grant
Born: 1860
13

Administrative Data Research Network
Administrative Data Research Centre - Scotland
Administrative
Data Service
14

ADRC-Scotland
Administrative Data Research Centre - Scotland
 Co-located with Farr Institute,
Scottish Government and NHS.
 Universities of Aberdeen, Dundee,
Edinburgh, Glasgow, Herriot-Watt,
St Andrews and Stirling.
 Expertise in administrative data and public
engagement, linkage, law and relevant computer
science techniques.
 Provide research support, facilities, training
15

Research Focus
Administrative Data Research Centre - Scotland
http://www.gov.scot/Resource/0044/00442276-390.jpg
 Schools, colleges and universities
 The criminal and justice system
 Social work services
 Social welfare
 Housing system
 Transport system
 Health system
 Historical administrative data
16

Multiple Identities
Andy Law's Third Law
“The number of unique identifiers
assigned to an individual is never
less than the number of Institutions
involved in the study”
http://bioinformatics.roslin.ac.uk/lawslaws/
8 April 2015 SICSA Env. & Social Databases 17
P12047
X31045
GB:29384
http://rdf.ebi.ac.uk/resource/ch
embl/molecule/CHEMBL1642
https://www.ebi.ac.uk/chembl/co
mpound/inspect/CHEMBL1642

Query Performance
 Response time
 Data freshness
 Reliability
 Volume of requests
 Hosting resources
8 April 2015 SICSA Env. & Social Databases 18
Data
Source
Data
Source
Data Warehouse
Queries
Data
Source
Data
Source
Mediator
Queries

How FAIR is your Data?
8 April 2015 SICSA Env. & Social Databases 19

Summary
 Web of Data
 Global
Identifiers
 Interoperable
data
 Domain
ontologies
 Challenges
 Data matching
 Multiple
identifiers
 Query
performance
 FAIR data
8 April 2015 SICSA Env. & Social Databases 20
www.alasdairjggray.co.uk
A.J.G.Gray@hw.ac.uk
@gray_alasdair

Dr. Katherine Skinner is the Executive Director of the Educopia Institute, a not-for-profit educational organization that builds networks and collaborative communities to help cultural, scientific, and scholarly institutions achieve greater impact. This presentation is about challenging the roles we need to play in order to “move the needle” in academic publishing into the next generation of scholarly communications.

Predictive Models and data linkageNuffield Trust

Approximate Protocol for Privacy Preserving Associate Rule Mining

Pushpalanka Jayawardhana

Privacy Preserved Distributed Data Sharing with Load Balancing Scheme

Editor IJMTER

Data sharing services are provided under the Peer to Peer (P2P) environment. Federated database technology is used to manage locally stored data with a federated DBMS and provide unified data access. Information brokering systems (IBSs) are used to connect large-scale loosely federated data sources via a brokering overlay. Information brokers redirect the client queries to the requested data servers. Privacy preserving methods are used to protect the data location and data consumer. Brokers are trusted to adopt server-side access control for data confidentiality. Query and access control rules are maintained with shared data details under metadata. A Semantic-aware index mechanism is applied to route the queries based on their content and allow users to submit queries without data or server information. Distributed data sharing is managed with Privacy Preserved Information Brokering (PPIB) scheme. Attribute-correlation attack and inference attacks are handled by the PPIB. PPIB overlay infrastructure consisting of two types of brokering components, brokers and coordinators. The brokers acts as mix anonymizer are responsible for user authentication and query forwarding. The coordinators concatenated in a tree structure, enforce access control and query routing based on the automata. Automata segmentation and query segment encryption schemes are used in the Privacy-preserving Query Brokering (QBroker). Automaton segmentation scheme is used to logically divide the global automaton into multiple independent segments. The query segment encryption scheme consists of the preencryption and postencryption modules. The PPIB scheme is enhanced to support dynamic site distribution and load balancing mechanism. Peer workloads and trust level of each peer are integrated with the site distribution process. The PPIB is improved to adopt self reconfigurable mechanism. Automated decision support system for administrators is included in the PPIB.

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Data (record) linkage brings together information from two different records that are believed to belong to the same person based on matching variables If two records agree on all matching variables, it is unlikely that they would have agreed by chance, the level of assurance that the link is correct will be high (the pair belongs to the same person) If all of the matching variables disagree, the pair will not be linked and it is unlikely that it belongs to the same person Intermediate situations where some matching variables agree and some matching variables disagree, need to predict whether the pair is a true match or a non-match Often need clerical intervention to determine matching status Data Linkage is difficult in the presence of errors in collecting data and where no unique high quality identifier is available

Cryptography for privacy preserving data mining

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Privacy preserving dm_ppt

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Several anonymization techniques, such as generalization and bucketization, have been designed for privacy preserving microdata publishing. Recent work has shown that generalization loses considerable amount of information, especially for high-dimensional data. Bucketization, on the other hand, does not prevent membership disclosure and does not apply for data that do not have a clear separation between quasi-identifying attributes and sensitive attributes. In this paper, we present a novel technique called slicing, which partitions the data both horizontally and vertically. We show that slicing preserves better data utility than generalization and can be used for membership disclosure protection. Another important advantage of slicing is that it can handle high-dimensional data. We show how slicing can be used for attribute disclosure protection and develop an efficient algorithm for computing the sliced data that obey the ℓ-diversity requirement. Our workload experiments confirm that slicing preserves better utility than generalization and is more effective than bucketization in workloads involving the sensitive attribute. Our experiments also demonstrate that slicing can be used to prevent membership disclosure.

Prescription Event Monitoring & Record Linkage Systems

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An Open Data Story

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Data Science meets Linked Data

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Will We Command Our Data? From the Petascale to the PersonalRichard Akerman

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CeRDI Research RUN Vietnam Agriculture Group

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Federation University's Centre for eResearch and Digital Innovation (CeRDI) is participating in the Regional University Network (RUN) Vietnam Agriculture Group. This presentation provides some background on CeRDI initiatives in eResearch. Areas of focus include capacity building and engagement, research collaborations around soil management, water resources, land use, crop productivity, climate change and adaption, biodiversity, participatory GIS and citizen science. Major technology and research trends link to ubiquitous high-speed broadband, the petabyte age, open data policies and the opportunities for Universities and particularly regional universities to play a significant role in generating insight from data. Mobile technologies… App development and responsive design – for student and staff recruitment, engagement, knowledge transfer 3d and visualisation technologies… Massive innovation and research opportunities

Ict Expo Data Privacy Global Issues & Trends

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Centre for eResearch and Digital Innovation - Research Overview

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The Centre for eResearch and Digital Innovation (CeRDI) is a Federation University Australia (FedUni) Centre focused on: • The application of information communications technology (ICT) and the development of innovative, world class knowledge management systems; • Significantly advancing the digital literacy and knowledge management capabilities and capacity of partner organisations; • Fostering, development and implementation of eResearch within academia and industry; and • Measuring the impact of eResearch and digital innovation through longitudinal research. CeRDI is also gaining national and international recognition in innovative spatial information systems. This presentation showcases some of the diverse range of projects are that being supported through the team at CeRDI. Projects are at various stages of their evolution with many sharing common goals to inform ‘big picture’ understanding and enhance decision making, create greater efficiencies in communication, increase the quality of information and support policy formulation and evaluation.

An open data story

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Criminal IP - Threat Hunting Webinar.pdf

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SOCRadar Germany 2024 Threat Landscape Report

SOCRadar

As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape. In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity. 🔑 Key findings include: 🔍 Increased frequency and complexity of cyber threats. 🔍 Escalation of state-sponsored and criminally motivated cyber operations. 🔍 Active dark web exchanges of malicious tools and tactics. Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities. This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.

一比一原版(QU毕业证)皇后大学毕业证成绩单

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QU毕业证【微信95270640】办理皇后大学毕业证原版一模一样、QU毕业证制作【Q微信95270640】《皇后大学毕业证购买流程》《QU成绩单制作》皇后大学毕业证书QU毕业证文凭皇后大学本科毕业证书,学历学位认证如何办理【留学国外学位学历认证、毕业证、成绩单、大学Offer、雅思托福代考、语言证书、学生卡、高仿教育部认证等一切高仿或者真实可查认证服务】代办国外（海外）英国、加拿大、美国、新西兰、澳大利亚、新西兰等国外各大学毕业证、文凭学历证书、成绩单、学历学位认证真实可查。 1:1完美还原海外各大学毕业材料上的工艺：水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪。可办理以下真实皇后大学存档留学生信息存档认证： 1皇后大学真实留信网认证（网上可查永久存档无风险百分百成功入库）； 2真实教育部认证（留服）等一切高仿或者真实可查认证服务（暂时不可办理）； 3购买英美真实学籍（不用正常就读直接出学历）； 4英美一年硕士保毕业证项目（保录取学校挂名不用正常就读保毕业）留学本科/硕士毕业证书成绩单制作流程： 1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询皇后大学皇后大学硕士毕业证成绩单）； 2开始安排制作皇后大学毕业证成绩单电子图； 3皇后大学毕业证成绩单电子版做好以后发送给您确认； 4皇后大学毕业证成绩单电子版您确认信息无误之后安排制作成品； 5皇后大学成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄） — — — — — — — — — — — 《文凭顾问Q/微：95270640》很感动很无奈房东的儿子小伍笨手笨脚的不会说普通话满口粤语态度十分傲慢一副盛气凌人的样子山娃试图接近他跟他交友与城里人交友但他俩就好像是两个世界里的人根本拢不到一块儿不知不觉山娃倒跟周围出租屋里的几个小伙伴成了好朋友因为他们也是从乡下进城过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆义

一比一原版(TWU毕业证)西三一大学毕业证成绩单

ocavb

TWU毕业证【微信95270640】西三一大学没毕业>办理西三一大学毕业证成绩单【微信TWU】TWU毕业证成绩单TWU学历证书TWU文凭《TWU毕业套号文凭网认证西三一大学毕业证成绩单》《哪里买西三一大学毕业证文凭TWU成绩学校快递邮寄信封》《开版西三一大学文凭》TWU留信认证本科硕士学历认证 [留学文凭学历认证(留信认证使馆认证)西三一大学毕业证成绩单毕业证证书大学Offer请假条成绩单语言证书国际回国人员证明高仿教育部认证申请学校等一切高仿或者真实可查认证服务。多年留学服务公司,拥有海外样板无数能完美1:1还原海外各国大学degreeDiplomaTranscripts等毕业材料。海外大学毕业材料都有哪些工艺呢？工艺难度主要由：烫金.钢印.底纹.水印.防伪光标.热敏防伪等等组成。而且我们每天都在更新海外文凭的样板以求所有同学都能享受到完美的品质服务。国外毕业证学位证成绩单办理方法： 1客户提供办理西三一大学西三一大学本科学位证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄） — — — — 我们是挂科和未毕业同学们的福音我们是实体公司精益求精的工艺！ — — — - 一真实留信认证的作用(私企外企荣誉的见证): 1：该专业认证可证明留学生真实留学身份同时对留学生所学专业等级给予评定。 2：国家专业人才认证中心颁发入库证书这个入网证书并且可以归档到地方。 3：凡是获得留信网入网的信息将会逐步更新到个人身份内将在公安部网内查询个人身份证信息后同步读取人才网入库信息。 4：个人职称评审加20分个人信誉贷款加10分。 5：在国家人才网主办的全国网络招聘大会中纳入资料供国家500强等高端企业选择人才。广州火车东站的那一刻山娃感受到了一种从未有过的激动和震撼太美了可爱的广州父亲的城山娃惊喜得几乎叫出声来山娃觉得父亲太伟大了居然能单匹马地跑到这么远这么大这么美的地方赚大钱高楼大厦鳞次栉比大街小巷人潮涌动山娃一路张望一路惊叹他发现城里的桥居然层层叠叠扭来扭去桥下没水却有着水一般的车水马龙山娃惊诧于城里的公交车那么大那么美不用买票乖乖地掷下二枚硬币空调享受还能坐着看电视呢屡经辗转山娃终于跟着父亲到拉

Opendatabay - Open Data Marketplace.pptx

Opendatabay

Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets. First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience. From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets. Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.

社内勉強会資料_LLM Agents　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　.

NABLAS株式会社

一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理

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原版定制【微信:41543339】【(Adelaide毕业证书)阿德莱德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

原版制作(Deakin毕业证书)迪肯大学毕业证学位证一模一样

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学校原件一模一样【微信：741003700 】《(Deakin毕业证书)迪肯大学毕业证学位证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原。 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 【主营项目】一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

一比一原版(NYU毕业证)纽约大学毕业证成绩单

ewymefz

NYU毕业证【微信95270640】《如何办理NYU毕业证纽约大学文凭学历》【Q微信95270640】《纽约大学文凭学历证书》《纽约大学毕业证书与成绩单样本图片》毕业证书补办 Fake Degree做学费单《毕业证明信-推荐信》成绩单，录取通知书，Offer，在读证明，雅思托福成绩单，真实大使馆教育部认证，回国人员证明，留信网认证。网上存档永久可查！【本科硕士】纽约大学纽约大学毕业证学位证（GPA修改）；学历认证（教育部认证）；大学Offer录取通知书留信认证使馆认证；雅思语言证书等高仿类证书。办理流程： 1客户提供办理纽约大学纽约大学毕业证学位证信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄）真实网上可查的证明材料 1教育部学历学位认证留服官网真实存档可查永久存档。 2留学回国人员证明（使馆认证）使馆网站真实存档可查。我们对海外大学及学院的毕业证成绩单所使用的材料尺寸大小防伪结构（包括：纽约大学纽约大学毕业证学位证隐形水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪）都有原版本文凭对照。质量得到了广大海外客户群体的认可同时和海外学校留学中介做到与时俱进及时掌握各大院校的（毕业证成绩单资格证结业证录取通知书在读证明等相关材料）的版本更新信息能够在第一时间掌握最新的海外学历文凭的样版尺寸大小纸张材质防伪技术等等并在第一时间收集到原版实物以求达到客户的需求。本公司还可以按照客户原版印刷制作且能够达到客户理想的要求。有需要办理证件的客户请联系我们在线客服中心微信：95270640 或咨询在线已转到了尽头他的城市生活也将划上一个不很圆满的句号了值得庆幸的是山娃早记下了他们的学校和联系方式说也奇怪在山娃离城的头一天父亲居然请假陪山娃耍了一天那一天父亲陪着山娃辗转长隆水上乐园疯了一整天水上漂流高空冲浪看大马戏大凡里面有的父亲都带着他去疯一把山娃算了算这一次足足花了老爸元够他挣上半个月的山娃很不解一向节俭的父亲啥时变得如此阔绰大方大把大把掏钱时居然连眉头也不皱一下车票早买好了直达卧铺车得经子

一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单

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Data Linkage

1. Data Linkage Alasdair J G Gray A.J.G.Gray@hw.ac.uk alasdairjggray.co.uk @gray_alasdair

2. Estuarine Flooding  Financial implications  Damage  Loss of business  Personal factors  Emotional impact  Flood prediction  Locations  Severity  Requires correlating  Sea-state data  Weather forecasts  Details of sea defences  Response Planning  Evacuation routes  Personnel deployment  …  Requires more data  Traffic reports  Shipping  … 8 April 2015 SICSA Env. & Social Databases 2 Image: http://www.metro.co.uk/

3. Flood Predication Solent Use Case  Busy shipping channel  Two major ports  Complex tidal and wave patterns 8 April 2015 SICSA Env. & Social Databases 3

4. Flood defences data (database) Flood Detection “Detect overtopping events in the Solent region” sea-level > sea-defence •Sea-level: sensors •Defence heights: databases 8 April 2015 SICSA Env. & Social Databases 4 Real-time sensor data Wave, Wind, Tide

5. Meteorological forecasts Response Planning “Provide contextual information” • Web feeds • Other sources: maps, models • Real-time merging of datasets 8 April 2015 SICSA Env. & Social Databases 5 Other sources: Maps, models, …

6. Data Linkage and Querying Web of Data 8 April 2015 SICSA Env. & Social Databases 6

7. 1. Global ID – URI 2. Resolvable ID 3. Useful content  HTML for humans  RDF for machines 4. Link to other resources Like the Web, but for data! Linked Data Approach 8 April 2015 SICSA Env. & Social Databases 7 “RDF and OWL do not solve the interoperability problem, they just lay it bare on the table!”

8. Olympics 2012 8 April 2015 SICSA Env. & Social Databases 8

9. Linking Data 8 April 2015 SICSA Env. & Social Databases 9

10. Querying Approach Use ontologies as common model Requires:  Representation of data: sensors and databases  Establishing mappings between ontology models and data source schemas  Accessing data sources through queries over ontology model  Expressing continuous queries over sensors 8 April 2015 SICSA Env. & Social Databases 10

11. WSN Resource Concerns  Energy  Running off battery  Computation Capabilities  Limited CPU  Limited memory  Limited storage  Radio Transmission  Limited range  Energy impact  Lost transmissions 8 April 2015 SICSA Env. & Social Databases 12

12. Data Matching Administrative Data Research Centre - Scotland Messy data Probabilistic matches Schema matching John Grant Fisherman Fiona Sinclair Ian Grant Smithy Born: 1861 Stuart Adam Wheelwright Morag Scott Flora Adam Seamstress Born: 1866 Married: 1884 John Grant Farmer Fiona Grant Iain Grant Born: 1860 13

13. Administrative Data Research Network Administrative Data Research Centre - Scotland Administrative Data Service 14

14. ADRC-Scotland Administrative Data Research Centre - Scotland  Co-located with Farr Institute, Scottish Government and NHS.  Universities of Aberdeen, Dundee, Edinburgh, Glasgow, Herriot-Watt, St Andrews and Stirling.  Expertise in administrative data and public engagement, linkage, law and relevant computer science techniques.  Provide research support, facilities, training 15

15. Research Focus Administrative Data Research Centre - Scotland http://www.gov.scot/Resource/0044/00442276-390.jpg  Schools, colleges and universities  The criminal and justice system  Social work services  Social welfare  Housing system  Transport system  Health system  Historical administrative data 16

16. Multiple Identities Andy Law's Third Law “The number of unique identifiers assigned to an individual is never less than the number of Institutions involved in the study” http://bioinformatics.roslin.ac.uk/lawslaws/ 8 April 2015 SICSA Env. & Social Databases 17 P12047 X31045 GB:29384 http://rdf.ebi.ac.uk/resource/ch embl/molecule/CHEMBL1642 https://www.ebi.ac.uk/chembl/co mpound/inspect/CHEMBL1642

17. Query Performance  Response time  Data freshness  Reliability  Volume of requests  Hosting resources 8 April 2015 SICSA Env. & Social Databases 18 Data Source Data Source Data Warehouse Queries Data Source Data Source Mediator Queries

18. How FAIR is your Data? 8 April 2015 SICSA Env. & Social Databases 19

19. Summary  Web of Data  Global Identifiers  Interoperable data  Domain ontologies  Challenges  Data matching  Multiple identifiers  Query performance  FAIR data 8 April 2015 SICSA Env. & Social Databases 20 www.alasdairjggray.co.uk A.J.G.Gray@hw.ac.uk @gray_alasdair

Editor's Notes

Environmental decision support systems Flood emergency response: real-time data mash-ups real-time data linkage
Strait of water separating Isle of Wight from English mainland Two high tides -> increased opportunities for getting ships in and out -> better for business Complex tidal pattern Non-standard models
Overtopping: a wave or tide exceeds the height of the sea defence: simplified as threshold in graph Sensor data provides current sea-state conditions National Flood and Coastal Defences Database (NFCDD) provides height of sea walls, etc Lots of forms of heterogeneity in the system
Contextual Data Weather feed provides predicted wind speed and direction, contextual streaming data Maps -> contextual visual data Report data in a form understandable to the user, ontology
Data from heterogeneous sources: discover relevant sources; different temporal modalities; different data models and representations Interlink data: common representation, align data models/schemas, identify common entities Query decomposition across distributed sources Efficient in-network processing: Save energy, increase network lifetime Enable new insights through novel user interfaces
Linked data offers a platform on which to do data science Linked Data hugely successful since inception in 2006, revision 2009 About 300 datasets published Wide range of topics
Coverage of 10,000+ athletes, 200+ countries, 400-500 disciplines and 30 venues Page for every athlete and country drawing on open data
Internally DBPedia and Geonames
Previous streaming extensions to SPARQL have problems
Bird habitat monitoring, Coastal monitoring, Glacier movement, Farms, Volcanoes… Cost effective monitoring, high spatial/temporal resolution What is the underlying technology/software?
Trade-off of capabilities vs QoS vs Lifetime Every system performed their own bespoke evaluations, how do you compare?
Social science example from ADRC Scotland Same problem in environmental science: bore holes in the North Sea
Four Administrative Data Research Centres (ADRCs), one in each UK country England – led by University of Southampton Northern Ireland – led by Queens Uni Belfast Scotland – led by University of Edinburgh Wales – led by Swansea University Coordinating Administrative Data Service (ADS) – led by University of Essex
Each captures a subtly different view of the world Are they the same? … depends on your point of view Different URIs for different representations (content negotiation)

Data Linkage

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Editor's Notes