This document discusses social media, linked data, and the context question. It summarizes challenges with using social media data, including issues with biases, sampling, and representativeness. It discusses the need to understand data origins to assess veracity and quality. Provenance models are proposed to document processes and integrate different data sources. Open questions are raised about defining provenance for social media and leveraging it to influence analysis while considering privacy implications.
The document provides details on the photo shoot for a band's album packaging. It summarizes the shots taken for the front cover, back cover, and inside covers. For the front cover, the best photo features three band members arranged evenly. Shots for the back cover showcase the band's instruments and clothes in a pile. Interior photos on the left show the band's faces framed in a greenhouse doorway, while shots on the right provide a desert sky backdrop for the band logo.
This document summarizes the post-production work done on a film project in Premiere and After Effects, including: applying black and white and rain effects in Premiere; masking the rain around an actor in After Effects; adding Foley sounds of a bin being hit with distortion and lowered pitch; overlaying an old film grain loop to make the film look like an old film noir; and animating a glitching, flashing title sequence in an eerie font in After Effects to set an unsettling tone.
Utilising Cloud Resources to Gain Knowledge from Social Media was a presentation given by Professor Gerard Parr to the Social Media Research Workshop on February 5-6, 2014 in Bangalore, India. The presentation discussed using cloud computing resources to analyze large amounts of data from social media to derive real-time value, such as developing a global first responder system for natural or man-made disasters by integrating, fusing and extracting useful intelligence from social media and real-time feeds. Parr also discussed his background and research interests in areas such as cloud computing, virtualization, smart cities, and ICT.
MEVHAI GEN. ASSEMBLY 2014 Maint., Waterworks & Const. PPTjoeyleona
The committee report on waterworks, maintenance, and construction provided the following updates:
1) Monthly electricity costs for operating 3 pumping stations 24 hours a day is approximately 270,000 pesos.
2) Maintenance work started cleaning areas along Balete, Apitong, and Almond creeks.
3) The Tuscana pipe is being connected to the MEVHAI creek and cleaning of the MEVHAI creek along Saplungan, Tindalo, and Balite areas is ongoing.
Open Data Conference - Paul Davidson - Standards in UK & ProgressOpening-up.eu
The document discusses standards for open data in the UK and the work of the Local e-Government Standards Body (LeGSB). It provides information on LeGSB's mission to promote standards for efficiency, transformation, and transparency in local services. It is funded by government organizations and has a governance structure including an executive steering board. The document discusses LeGSB's code of recommended practice for publishing open data and provides examples of projects applying standards to roadworks data, air quality data, and open public services data. It emphasizes linking and publishing data as linked open data to enable combining and querying of data.
This document discusses how to increase the use of data collected by ensuring its quality and accessibility. It notes that while significant resources go into data collection, the value is lost if the data is not used. The document explores challenges like data volume and dissemination that can prevent use. It provides examples of how other organizations have increased data use through open data platforms and competitions engaging developers and the public. It advocates making Rwandan government data more accessible and "developer friendly" to encourage reuse and innovative visualizations that better communicate insights from the data.
The document summarizes a presentation by Mark A. Parsons on opportunities and challenges for data sharing and citation. The presentation discusses how all of society's grand challenges require diverse data shared across boundaries, and the vision of the Research Data Alliance (RDA) to openly share data. RDA builds social and technical bridges to enable open data sharing through developing infrastructure, standards, and best practices. The presentation also covers specific RDA activities like developing data citation recommendations and engaging members globally.
The document provides details on the photo shoot for a band's album packaging. It summarizes the shots taken for the front cover, back cover, and inside covers. For the front cover, the best photo features three band members arranged evenly. Shots for the back cover showcase the band's instruments and clothes in a pile. Interior photos on the left show the band's faces framed in a greenhouse doorway, while shots on the right provide a desert sky backdrop for the band logo.
This document summarizes the post-production work done on a film project in Premiere and After Effects, including: applying black and white and rain effects in Premiere; masking the rain around an actor in After Effects; adding Foley sounds of a bin being hit with distortion and lowered pitch; overlaying an old film grain loop to make the film look like an old film noir; and animating a glitching, flashing title sequence in an eerie font in After Effects to set an unsettling tone.
Utilising Cloud Resources to Gain Knowledge from Social Media was a presentation given by Professor Gerard Parr to the Social Media Research Workshop on February 5-6, 2014 in Bangalore, India. The presentation discussed using cloud computing resources to analyze large amounts of data from social media to derive real-time value, such as developing a global first responder system for natural or man-made disasters by integrating, fusing and extracting useful intelligence from social media and real-time feeds. Parr also discussed his background and research interests in areas such as cloud computing, virtualization, smart cities, and ICT.
MEVHAI GEN. ASSEMBLY 2014 Maint., Waterworks & Const. PPTjoeyleona
The committee report on waterworks, maintenance, and construction provided the following updates:
1) Monthly electricity costs for operating 3 pumping stations 24 hours a day is approximately 270,000 pesos.
2) Maintenance work started cleaning areas along Balete, Apitong, and Almond creeks.
3) The Tuscana pipe is being connected to the MEVHAI creek and cleaning of the MEVHAI creek along Saplungan, Tindalo, and Balite areas is ongoing.
Open Data Conference - Paul Davidson - Standards in UK & ProgressOpening-up.eu
The document discusses standards for open data in the UK and the work of the Local e-Government Standards Body (LeGSB). It provides information on LeGSB's mission to promote standards for efficiency, transformation, and transparency in local services. It is funded by government organizations and has a governance structure including an executive steering board. The document discusses LeGSB's code of recommended practice for publishing open data and provides examples of projects applying standards to roadworks data, air quality data, and open public services data. It emphasizes linking and publishing data as linked open data to enable combining and querying of data.
This document discusses how to increase the use of data collected by ensuring its quality and accessibility. It notes that while significant resources go into data collection, the value is lost if the data is not used. The document explores challenges like data volume and dissemination that can prevent use. It provides examples of how other organizations have increased data use through open data platforms and competitions engaging developers and the public. It advocates making Rwandan government data more accessible and "developer friendly" to encourage reuse and innovative visualizations that better communicate insights from the data.
The document summarizes a presentation by Mark A. Parsons on opportunities and challenges for data sharing and citation. The presentation discusses how all of society's grand challenges require diverse data shared across boundaries, and the vision of the Research Data Alliance (RDA) to openly share data. RDA builds social and technical bridges to enable open data sharing through developing infrastructure, standards, and best practices. The presentation also covers specific RDA activities like developing data citation recommendations and engaging members globally.
Opening/Framing Comments: John Behrens, Vice President, Center for Digital Data, Analytics, & Adaptive Learning Pearson
Discussion of how the field of educational measurement is changing; how long held assumptions may no longer be taken for granted and that new terminology and language are coming into the.
Panel 1: Beyond the Construct: New Forms of Measurement
This panel presents new views of what assessment can be and new species of big data that push our understanding for what can be used in evidentiary arguments.
Marcia Linn, Lydia Liu from UC Berkeley and ETS discuss continuous assessment of science and new kinds of constructs that relate to collaboration and student reasoning.
John Byrnes from SRI International discusses text and other semi-structured data sources and different methods of analysis.
Kristin Dicerbo from Pearson discusses hidden assessments and the different student interactions and events that can be used in inferential processes.
Panel 2: The Test is Just the Beginning: Assessments Meet Systems Context
This panel looks at how assessments are not the end game, but often the first step in larger big-data practices at districts/state/national levels.
Gerald Tindal from the University of Oregon discusses State data systems and special education, including curriculum-based measurement across geographic settings.
Jack Buckley Commissioner of the National Center for Educational Statistics discussing national datasets where tests and other data connect.
Lindsay Page, Will Marinell from the Strategic Data Project at Harvard discussing state and district datasets used for evaluating teachers, colleges of education, and student progress.
Panel 3: Connecting the Dots: Research Agendas to Integrate Different Worlds
This panel will look at how research organizations are viewing the connections between the perspectives presented in Panels 1 and 2; what is known, what is still yet to be discovered in order to achieve the promised of big connected data in education.
Andrea Conklin Bueschel Program Director at the Spencer Foundation
Ed Dieterle Senior Program Officer at the Bill and Melinda Gates Foundation
Edith Gummer Program Manager at National Science Foundation
This document summarizes the Library Impact Data Project, which aimed to show correlations between library usage data (books borrowed, e-resources accessed) and student attainment across multiple universities. Phase 1 found statistical significance between library usage and grades. Phase 2 added more student data points and found further correlations with demographics. The project aims to create a shared analytics service to allow libraries to analyze usage and benchmark against peers. Key areas for the next phase include developing an intuitive dashboard, addressing ethical issues around profiling individuals, and integrating additional data sources.
Getting started in Data Science (April 2017, Los Angeles)Thinkful
The document discusses the rise of data science and the skills needed for data scientists. It defines data science as the intersection of engineering, statistics, and communication. Data scientists analyze large datasets to answer important business questions. The document uses LinkedIn in 2006 as a case study, outlining how a data scientist there framed questions, collected and processed user data, explored patterns, and communicated results to improve the user experience and growth. It highlights tools like SQL, analytics software, and machine learning that data scientists use and stresses the importance of curiosity, technical skills, and strong communication for those interested in the field.
The Cornell University CISER Data Archive contains over 27,000 numeric datasets covering topics such as demography, economics, health, labor, and surveys. It provides consulting services to help users find, access, and use appropriate data for their research needs. Cornell researchers can download publicly available datasets or access restricted data within the CISER computing environment. The archive also maintains a restricted data center for Cornell researchers to preserve and share their own research data.
Bigger and Better: Employing a Holistic Strategy for Big Data toward a Strong...IT Network marcus evans
Bigger and Better: Employing a Holistic Strategy for Big Data toward a Strong Value-Adding Proposition
by Patrick Hadley, Australian Bureau of Statistics at the Australian CIO Summit 2014
Data can come from internal or external sources. Internal sources include company reports and records, while external sources are outside the organization, like information obtained from other companies. There are various methods for collecting primary data, like interviews, surveys, observation, and experiments. Secondary data has already been previously collected and can come from internal sources within an organization or external sources outside the organization. Data can be structured, semi-structured, or unstructured, and varies in its level of organization and ability to be stored in a relational database. Key characteristics of good data include accuracy, validity, reliability, timeliness, completeness, availability, and accessibility.
Crowdsourcing Approaches to Big Data Curation - Rio Big Data MeetupEdward Curry
Data management efforts such as Master Data Management and Data Curation are a popular approach for high quality enterprise data. However, Data Curation can be heavily centralised and labour intensive, where the cost and effort can become prohibitively high. The concentration of data management and stewardship onto a few highly skilled individuals, like developers and data experts, can be a significant bottleneck. This talk explores how to effectively involving a wider community of users within big data management activities. The bottom-up approach of involving crowds in the creation and management of data has been demonstrated by projects like Freebase, Wikipedia, and DBpedia. The talk discusses how crowdsourcing data management techniques can be applied within an enterprise context.
Topics covered include:
- Data Quality And Data Curation
- Crowdsourcing
- Case Studies on Crowdsourced Data Curation
- Setting up a Crowdsourced Data Curation Process
- Linked Open Data Example
- Future Research Challenges
This document summarizes a presentation about meeting federal data sharing requirements. It discusses the history of these requirements and defines good practices for data sharing and stewardship. It also reviews some public data sharing services and provides tips for evaluating them. Key aspects of good data sharing include maximizing access, protecting privacy, ensuring proper attribution, and having long-term preservation and sustainability plans. The presenter emphasizes that restricted-use or sensitive data can be effectively shared through secure virtual environments.
Changing the Curation Equation: A Data Lifecycle Approach to Lowering Costs a...SEAD
This document discusses the Sustainable Environment Actionable Data (SEAD) project, which aims to lower the costs and increase the value of data curation through a data lifecycle approach. SEAD provides lightweight data services to support sustainability research, including secure project workspaces, active and social curation tools, and integrated lifecycle support for data from ingest to long-term preservation. By leveraging technologies like Web 2.0 and standards, SEAD simplifies and automates curation processes using metadata captured from data producers and users. This allows curation activities to begin earlier in the data lifecycle and be distributed across researchers and curators.
The document proposes a method called data journey modelling to predict risks and costs for IT developments in early stages. It involves mapping existing and new data journeys through systems and identifying where data movement between different actors or formats could cause issues. The method was evaluated on 18 NHS IT case studies and accurately predicted risks in 13 out of 19 predictions. The approach provides a lightweight alternative to more complex modelling techniques for early decision making.
This document provides an overview of data mining. It discusses the introduction to data mining, its importance and applications. The key techniques of data mining discussed include classification, prediction, clustering, association and summarization. Examples of data mining applications mentioned are in healthcare, banking/finance, retail and web mining. The document concludes with discussing future trends in data mining involving new algorithms and data types, as well as computing resources like cloud computing.
This document provides an overview of the data science process, including historical notes on related frameworks like KDD, CRISP-DM, and big data. It discusses the typical stages in the knowledge discovery process, including business understanding, data understanding, data preparation, model building, evaluation, and deployment. It also provides an example walking through these stages to predict power failures in Manhattan, covering opportunities assessment, data acquisition and cleaning, model building, policy construction, and evaluation.
London data and digital masterclass for councillors slides 14-Feb-20LG Inform Plus
On 14th February 2020, the Local Government association ran a masterclass discussion day for councillors and elected members on data and digital transformation in local government. It took place in London. This is the slide set that was used to steer discussions
Open Research Problems in Linked Data - WWW2010Juan Sequeda
These are the Open Research Problems of Linked Data slides that we presented at the Consuming Linked Data tutorial at WWW2010 in Raleigh, NC on April 26, 2010
Web search-metrics-tutorial-www2010-section-1of7-introductionAli Dasdan
This document provides an introduction to a tutorial on web search engine metrics for measuring user satisfaction. It discusses the need for metrics to measure and improve search engines. It outlines the typical search engine pipeline and how metrics can evaluate different parts of the pipeline from a user and system perspective. The document then covers various considerations for collecting and analyzing metrics, such as sampling methods, metric dimensions, and challenges. It concludes by listing some key open problems in metrics and providing references for further reading.
The document discusses a Faculty Development Program (FDP) on database management systems that was held on December 6, 2018 at the University College of Engineering Tindivanam in Tindivanam, India. The FDP covered recent research perspectives in different database management systems and the importance of database management systems in Digital India. It was conducted by Dr. A. Karthirvel, Professor and Head of the Computer Science and Engineering Department at MNM Jain Engineering College in Chennai.
Linked Data Quality Assessment – daQ and Luzzujerdeb
Presentation at the Ontology Engineering Group at UPM related to Linked Data Quality and the work done in the Enterprise Information System Group at Universität Bonn
This document provides an overview of data mining including:
- Data mining techniques like classification, prediction, clustering which are used to analyze patterns in data.
- The importance of data mining for applications in fields like banking, retail, and healthcare to discover useful knowledge from large datasets.
- Issues with data mining like security, performance, and methodology challenges as well as future trends like using more advanced algorithms and computing resources to handle diverse and large datasets.
DataGraft: Data-as-a-Service for Open Datadapaasproject
The document provides an overview of Linked (Open) Data including RDF, RDFS and SPARQL. It defines key concepts such as Linked Data principles of using URIs to identify things on the web and describing relationships between them. It describes RDF's basic data model of subject-predicate-object triples to make statements about resources and the RDF serialization formats of Turtle and JSON-LD. It also mentions semantic query language SPARQL for querying RDF data.
Location Embeddings for Next Trip RecommendationRaphael Troncy
Joint work wih Amadeus presenting a recommender system for your next destination using knowledge graphs and deep learning network, presented at the LocWeb 2019 Workshop colocated with TheWebConf 2019 (San Francisco, USA)
The document discusses Cognizant's three horizons of business: core IT services (H1), newer capabilities like consulting (H2), and rapidly emerging areas incubated by their internal venture capital arm (H3). It outlines EBA's venture incubation model and roles. The presentation notes how social media can provide social intelligence for customer insights, brand management, and innovation. It highlights emerging areas like social, mobile, visual technologies, and privacy as exciting opportunities and challenges ahead.
The document analyzes social media data related to Hurricane Sandy and Cyclone Nilam. It finds that government officials and journalists played a central role in disseminating information about Sandy on Twitter, while coverage of Nilam was much more limited. Visual content like photos were especially important for conveying disaster information on social media. Differences in celebrity and news media involvement between the two events are also discussed. Network analysis is used to identify key influencers and discuss information propagation patterns.
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Opening/Framing Comments: John Behrens, Vice President, Center for Digital Data, Analytics, & Adaptive Learning Pearson
Discussion of how the field of educational measurement is changing; how long held assumptions may no longer be taken for granted and that new terminology and language are coming into the.
Panel 1: Beyond the Construct: New Forms of Measurement
This panel presents new views of what assessment can be and new species of big data that push our understanding for what can be used in evidentiary arguments.
Marcia Linn, Lydia Liu from UC Berkeley and ETS discuss continuous assessment of science and new kinds of constructs that relate to collaboration and student reasoning.
John Byrnes from SRI International discusses text and other semi-structured data sources and different methods of analysis.
Kristin Dicerbo from Pearson discusses hidden assessments and the different student interactions and events that can be used in inferential processes.
Panel 2: The Test is Just the Beginning: Assessments Meet Systems Context
This panel looks at how assessments are not the end game, but often the first step in larger big-data practices at districts/state/national levels.
Gerald Tindal from the University of Oregon discusses State data systems and special education, including curriculum-based measurement across geographic settings.
Jack Buckley Commissioner of the National Center for Educational Statistics discussing national datasets where tests and other data connect.
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Panel 3: Connecting the Dots: Research Agendas to Integrate Different Worlds
This panel will look at how research organizations are viewing the connections between the perspectives presented in Panels 1 and 2; what is known, what is still yet to be discovered in order to achieve the promised of big connected data in education.
Andrea Conklin Bueschel Program Director at the Spencer Foundation
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This document summarizes the Library Impact Data Project, which aimed to show correlations between library usage data (books borrowed, e-resources accessed) and student attainment across multiple universities. Phase 1 found statistical significance between library usage and grades. Phase 2 added more student data points and found further correlations with demographics. The project aims to create a shared analytics service to allow libraries to analyze usage and benchmark against peers. Key areas for the next phase include developing an intuitive dashboard, addressing ethical issues around profiling individuals, and integrating additional data sources.
Getting started in Data Science (April 2017, Los Angeles)Thinkful
The document discusses the rise of data science and the skills needed for data scientists. It defines data science as the intersection of engineering, statistics, and communication. Data scientists analyze large datasets to answer important business questions. The document uses LinkedIn in 2006 as a case study, outlining how a data scientist there framed questions, collected and processed user data, explored patterns, and communicated results to improve the user experience and growth. It highlights tools like SQL, analytics software, and machine learning that data scientists use and stresses the importance of curiosity, technical skills, and strong communication for those interested in the field.
The Cornell University CISER Data Archive contains over 27,000 numeric datasets covering topics such as demography, economics, health, labor, and surveys. It provides consulting services to help users find, access, and use appropriate data for their research needs. Cornell researchers can download publicly available datasets or access restricted data within the CISER computing environment. The archive also maintains a restricted data center for Cornell researchers to preserve and share their own research data.
Bigger and Better: Employing a Holistic Strategy for Big Data toward a Strong...IT Network marcus evans
Bigger and Better: Employing a Holistic Strategy for Big Data toward a Strong Value-Adding Proposition
by Patrick Hadley, Australian Bureau of Statistics at the Australian CIO Summit 2014
Data can come from internal or external sources. Internal sources include company reports and records, while external sources are outside the organization, like information obtained from other companies. There are various methods for collecting primary data, like interviews, surveys, observation, and experiments. Secondary data has already been previously collected and can come from internal sources within an organization or external sources outside the organization. Data can be structured, semi-structured, or unstructured, and varies in its level of organization and ability to be stored in a relational database. Key characteristics of good data include accuracy, validity, reliability, timeliness, completeness, availability, and accessibility.
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Data management efforts such as Master Data Management and Data Curation are a popular approach for high quality enterprise data. However, Data Curation can be heavily centralised and labour intensive, where the cost and effort can become prohibitively high. The concentration of data management and stewardship onto a few highly skilled individuals, like developers and data experts, can be a significant bottleneck. This talk explores how to effectively involving a wider community of users within big data management activities. The bottom-up approach of involving crowds in the creation and management of data has been demonstrated by projects like Freebase, Wikipedia, and DBpedia. The talk discusses how crowdsourcing data management techniques can be applied within an enterprise context.
Topics covered include:
- Data Quality And Data Curation
- Crowdsourcing
- Case Studies on Crowdsourced Data Curation
- Setting up a Crowdsourced Data Curation Process
- Linked Open Data Example
- Future Research Challenges
This document summarizes a presentation about meeting federal data sharing requirements. It discusses the history of these requirements and defines good practices for data sharing and stewardship. It also reviews some public data sharing services and provides tips for evaluating them. Key aspects of good data sharing include maximizing access, protecting privacy, ensuring proper attribution, and having long-term preservation and sustainability plans. The presenter emphasizes that restricted-use or sensitive data can be effectively shared through secure virtual environments.
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This document discusses the Sustainable Environment Actionable Data (SEAD) project, which aims to lower the costs and increase the value of data curation through a data lifecycle approach. SEAD provides lightweight data services to support sustainability research, including secure project workspaces, active and social curation tools, and integrated lifecycle support for data from ingest to long-term preservation. By leveraging technologies like Web 2.0 and standards, SEAD simplifies and automates curation processes using metadata captured from data producers and users. This allows curation activities to begin earlier in the data lifecycle and be distributed across researchers and curators.
The document proposes a method called data journey modelling to predict risks and costs for IT developments in early stages. It involves mapping existing and new data journeys through systems and identifying where data movement between different actors or formats could cause issues. The method was evaluated on 18 NHS IT case studies and accurately predicted risks in 13 out of 19 predictions. The approach provides a lightweight alternative to more complex modelling techniques for early decision making.
This document provides an overview of data mining. It discusses the introduction to data mining, its importance and applications. The key techniques of data mining discussed include classification, prediction, clustering, association and summarization. Examples of data mining applications mentioned are in healthcare, banking/finance, retail and web mining. The document concludes with discussing future trends in data mining involving new algorithms and data types, as well as computing resources like cloud computing.
This document provides an overview of the data science process, including historical notes on related frameworks like KDD, CRISP-DM, and big data. It discusses the typical stages in the knowledge discovery process, including business understanding, data understanding, data preparation, model building, evaluation, and deployment. It also provides an example walking through these stages to predict power failures in Manhattan, covering opportunities assessment, data acquisition and cleaning, model building, policy construction, and evaluation.
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On 14th February 2020, the Local Government association ran a masterclass discussion day for councillors and elected members on data and digital transformation in local government. It took place in London. This is the slide set that was used to steer discussions
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This document provides an introduction to a tutorial on web search engine metrics for measuring user satisfaction. It discusses the need for metrics to measure and improve search engines. It outlines the typical search engine pipeline and how metrics can evaluate different parts of the pipeline from a user and system perspective. The document then covers various considerations for collecting and analyzing metrics, such as sampling methods, metric dimensions, and challenges. It concludes by listing some key open problems in metrics and providing references for further reading.
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This document provides an overview of data mining including:
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- The importance of data mining for applications in fields like banking, retail, and healthcare to discover useful knowledge from large datasets.
- Issues with data mining like security, performance, and methodology challenges as well as future trends like using more advanced algorithms and computing resources to handle diverse and large datasets.
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Principal Investigator Catherine Mulligan and co-investigators John Nelson and Ruth Rettie are leading a project funded by the RCUK Sustainable Society Network+ to identify grand challenges for digital technology research related to creating a sustainable society. The network will provide funding for 10 pilot studies up to £50,000 each, research probes, secondments between industry and academia. Two pilot studies are described, one involving analyzing social media during flood events for flood risk management, and another deploying digital sharing tools across 800 households to inspire sustainable practices. A challenge fellowship will explore using interactive feedback to change energy consumption behaviors. The network also supports secondments in India.
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This document discusses the NEMODE initiative which aims to support research on how digital technologies are transforming business models and the economy. It provides an overview of NEMODE's goals and areas of research interest, including how social media and big data are impacting business models. Specific projects are also mentioned, such as developing a taxonomy of digital business models and creating a retail observatory to study the effects of digital technologies on omnichannel retailing. Funding opportunities for collaborations between UK universities on digital economy research topics are also outlined.
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STUDY ON THE DEVELOPMENT STRATEGY OF HUZHOU TOURISMAJHSSR Journal
ABSTRACT: Huzhou has rich tourism resources, as early as a considerable development since the reform and
opening up, especially in recent years, Huzhou tourism has ushered in a new period of development
opportunities. At present, Huzhou tourism has become one of the most characteristic tourist cities on the East
China tourism line. With the development of Huzhou City, the tourism industry has been further improved, and
the tourism degree of the whole city has further increased the transformation and upgrading of the tourism
industry. However, the development of tourism in Huzhou City still lags far behind the tourism development of
major cities in East China. This round of research mainly analyzes the current development of tourism in
Huzhou City, on the basis of analyzing the specific situation, pointed out that the current development of
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solutions, so as to promote the further rapid development of tourism in Huzhou City.
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Then, it happens. Roaring Kitty, the forum's resident legend, fires off a cryptic tweet. The apes, as the GME investors call themselves, erupt in a frenzy. Could this be it? Is the rocket finally fueled for another epic launch? You grip your phone tighter, heart pounding in your chest. It's a wild ride, but you're in it for the long haul.
Telegram is a messaging platform that ushers in a new era of communication. Available for Android, Windows, Mac, and Linux, Telegram offers simplicity, privacy, synchronization across devices, speed, and powerful features. It allows users to create their own stickers with a user-friendly editor. With robust encryption, Telegram ensures message security and even offers self-destructing messages. The platform is open, with an API and source code accessible to everyone, making it a secure and social environment where groups can accommodate up to 200,000 members. Customize your messenger experience with Telegram's expressive features.
EASY TUTORIAL OF HOW TO USE REMINI BY: FEBLESS HERNANEFebless Hernane
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1. Social
Media,
Linked
Data
&
The
Context
Ques9on
Pete
Edwards
p.edwards@abdn.ac.uk
Compu'ng
Science
/
dot.rural
Digital
Economy
Hub
University
of
Aberdeen
2. dot.rural
Research
Hub
•
•
Exploring
the
contribu1on
digital
technologies
can
make
to
enhancing
key
services
;
genera1ng
business
opportuni1es
;
boos1ng
quality
of
life
;
promo1ng
the
economic,
social
and
environmental
sustainability
of
rural
areas
across
the
UK
and
beyond.
Researchers
from
a
range
of
disciplines:
• computer
science,
communica'ons
engineering,
human
geography,
sociology,
environmental
science,
business,
medicine,
transport
studies
Accessibility
& Mobilities
Enterprise
& Culture
CS / Eng
Natural
Resource
Conservation
Healthcare
3. Agenda
•
•
•
•
•
•
Social
Media
–
PiFalls
The
Context
Challenge
Provenance
Digital
Social
Research
Experience
Quality
Open
Ques'ons
4. Social
Media
–
PiFalls
#1
• Integra'ng
different
informa'on
sources
to
support
public
transport
informa'on
– Government
open
data
(na'onal
and
local),
operator
data,
vehicle
data
(when
available),
disrup'on
reports
…
• “Can
we
use
TwiUer
data?”
– OXen
used
as
a
means
to
report
disrup'on/
service
issues.
5. UK
Snow
–
January
2013
“Snow
causing
#chaos
in
Cheltenham!
Reports
of
up
to
1.5
inches
in
worst
affected
areas...
#uksnowdisaster!”
“Avoid
the
Penn
road.
It
is
awful!!!
#uksnow
#wolves
#wolvessnow”
How
to
assess
veracity
of
such
reports?
“No
trains
between
Portsmouth
Harbour
&
Southampton
Central
un9l
further
no9ce
#uksnow
#SnowSouthern”
–
SouthernRailUK
6. Social
Media
–
PiFalls
#2
• Big
Data:
PiDalls,
Methods
and
Concepts
for
an
Emergent
Field,
Zeynep
Tufekci
2013
Ø Use
of
social
media
analysis
by
social
scien'sts
and
policy
makers
is
challenged
by
inadequate
aUen'on
to
methodological
and
conceptual
issues.
• Issues:
1. LiUle/no
aUen'on
to
the
implicit
and
explicit
structural
biases
of
the
plaForm(s)
most
frequently
used
to
generate
datasets.
2. Lack
of
clarity
with
regard
to
sampling,
universe
and
representa'veness
(who
are
the
‘crowd’?).
3. Most
analyses
come
from
a
single
plaForm.
7. The
Context
Challenge
• Integra1on
of
social
media
data
with
other
datasets
needs
to
address
issues
around
data
quality.
• Social
media
analyses
need
to
be
more
explicit
in
discussing
the
biases,
implicit
assump1ons
and
steps
in
analy1cal
methods.
• How
do
we
understand
the
origins
of
data,
to
help
assess
veracity
and
u'lity?
• How
do
we
document
the
processes
involved
in
analysis?
• How
do
we
integrate
different
sources
together?
8. Provenance
• Lineage,
history,
audit
trail…
• Who,
What,
Where,
Why,
When,
Which,
&
(W)How
(Goble,
2002).
• W3C
Provenance
Working
Group
– “Informa'on
about
en''es,
ac'vi'es,
and
agents
involved
in
producing
a
piece
of
data
or
thing,
which
can
be
used
form
assessments
about
its
quality,
reliability,
or
trustworthiness”
9. W3C
PROV
Model
W3C
PROV
hUp://www.w3.org/TR/prov-‐overview/
hUp://www.w3.org/TR/2013/REC-‐prov-‐o-‐20130430/
10. W3C
PROV
Model
• En'ty
–
“a
physical,
digital,
or
other
kind
of
thing
with
some
fixed
aspects”
• Ac'vity
–
“something
that
occurs
over
a
period
of
'me
and
acts
upon
or
with
en''es”
• Agent
–
“something
that
bears
some
form
of
responsibility
for
an
ac'vity
taking
place,
the
existence
of
an
en'ty,
or
another
agent’s
ac'vity”
Annota'on:
“Angry”
wasGeneratedBy
Sen'ment
classifica'on
wasAssociatedWith
Classifer
Service
11. Linked
Data
• Using
the
Web
to
connect
related
data
that
wasn’t
previously
linked
• Designed
for
humans
and
machines.
• Links
between
a
thing
and
its
descrip'on
– RDF
(Resource
Descrip'on
Framework)
– Pete
-‐>
works
For
-‐>
University
of
Aberdeen
• Encourages
reuse,
reduce
redundancy.
13. Quality
• Reasoning about quality seen as critical as
more and more services/things publish data.
• Quality – a measures of ‘fitness for use’.
• Quality metrics should examine the context
around data (including provenance).
– Outputs are quality scores categorised into quality
dimensions (e.g. accuracy, relevance, …)
16. Ques'ons
• How
should
provenance
aUributes
and
characteris'cs
be
defined
for
social
media?
• Can
provenance
be
iden'fied
and
leveraged
to
help
influence
analysis?
• In
addi'on
to
veracity,
what
other
connec'ons
can
be
made
between
provenance
and
elements
of
social
media?
• What
are
the
implica'ons
for
privacy?
17. TwiUer
Ethnography
16-Jan
Aberdeen
Operator
FirstAberdeen
Morning Aberdeen, our control room team are
1.01
reporting full service out there today, with only minor
delays at the moment
16-Jan
Aberdeen
Public
mikewareham
@FirstAberdeen just realised your driver gave me a
single ticket this morning when I asked for, and paid
for, a return! Ridiculous!
2.01
16-Jan
Aberdeen
Operator
FirstAberdeen
@mikewareham Hi Mike, sorry about that - can you
email us the details to
customer.services@firstgroup.com and we'll
investigate. Thanks
2.02
16-Jan
Aberdeen
Public
dalgarnoamanda
@FirstAberdeen thanks to the no3 bus driver that's
waited for me three days in a row while I run for the
bus. Much appreciated!
3.01
16-Jan
Aberdeen
Operator
FirstAberdeen
@dalgarnoamanda You're welcome - do you have a
3.02
bus number so that we can pass on your thanks to the
driver?
16-Jan
Aberdeen
Public
dalgarnoamanda
@FirstAberdeen its the no3 that is on rosemount at the 3.03
moment going towards town
16-Jan
Aberdeen
Operator
FirstAberdeen
@dalgarnoamanda That bus isn't tracking at the
3.04
moment, but the bus number's on your ticket - should
be 5 digits starting with a 6
16-Jan
16-Jan
Aberdeen
Aberdeen
Public
Operator
dalgarnoamanda
FirstAberdeen
@FirstAberdeen hold on its 62191
@dalgarnoamanda That's the one - thanks for that,
we'll pass on your compliments
3.05
3.06
17-Jan
Aberdeen
Operator
FirstAberdeen
It's Friday Aberdeen! Yay! 2 minor RTC's at Nigg and
Mounthooly are causing some delays to services 18
and 11,20 & 23 at the moment
4.01
17-Jan
Aberdeen
Operator
FirstAberdeen
But apart from that, it's a quietish day on Aberdeen's
roads with full service and only minor delays - let's
hope it stays that way!
5.01
16-Jan
Aberdeen
Public
AndrewWatt7
@FirstAberdeen is there a bus that go's from union
square to pittordrie football ground?
6.01
17-Jan
Aberdeen
Operator
FirstAberdeen
@AndrewWatt7 Hi Andrew, Ser 13 will take you to the 6.02
back of the ground, or a 1, 2 or X40 will drop you on
King St and you can walk through
17-Jan
Aberdeen
Public
AndrewWatt7
@FirstAberdeen okay thanks
16-Jan
Aberdeen
Public
FraserMacaulay
@FirstAberdeen where did you get your no.17 driver? 7.01
The moon? Absolute ****
17-Jan
Aberdeen
Operator
FirstAberdeen
@FraserMacaulay Hi Fraser, can you email us the
7.02
details to customer.services@firstgroup.com and we'll
have a word with the driver. Thanks
6.03
• Contextual
inquiry
• Digital
diary
study
• Content
analysis
18. Thanks
…
• Team
members:
– Chris
Baillie,
David
Corsar,
Milan
Markovic,
Edoardo
Pignon,
Paul
Gault
• Collaborators:
– Caitlin
CoUrill,
John
Nelson,
Jillian
Anable
• Partners:
• Funders: