Defrag: Pulling the Threads on User Data
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Pulling the Threads on User Data @danielabarbosa Defrag Denver http://defragcon.com/2008/ Nov 4th 2008 http://defragcon.com/2008/
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You Name Here
1. List several products or services subject to network effects. What factors do you believe helped each of these efforts achieve dominance?
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Recognize the unexpected rise and impact of social media and peer production systems, and understand how these services differ from prior generation tools.
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Instagram, Flickr, Facebook, Twitter
Twitter, Facebook, SnapChat, WhatsApp
LinkedIn
YouTube
Yelp
TripAdvisor
Skype
Pinterest
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This document is a seminar report submitted by Supriya R to fulfill the requirements for a Master of Technology degree. The report discusses big data privacy issues in public social media. It provides an overview of big data and how the vast amounts of user-generated content uploaded to social media each day makes it difficult for individuals to be aware of everything that could impact their privacy. The report reviews literature related to location privacy and privacy issues on Facebook. It then analyzes threats to privacy from awareness of damaging media in big datasets and privacy policies of different services. Finally, it proposes surveying metadata from social media to help users stay informed about relevant privacy issues.
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This document discusses social networking for business use. It defines social networks and their value in allowing analysis of relationships rather than just individual attributes. It then covers various aspects of implementing social networking in a business context, including available functionality, ensuring a culture of trust among users, integrating different systems rather than having information silos, establishing appropriate governance, and the infrastructure required. Recommendations focus on taking an iterative approach and balancing controls with allowing open sharing of information.
Social Messaging Solution Matrix
The document discusses a functional model and solution matrix for social messaging applications. It defines social messaging as micro-sharing of short bursts of text, links, and media to connect people within an organization. The functional model covers features like updating, processing, and distributing content as well as user management, analytics, and application administration. The solution matrix compares vendor products based on their functional focus and technological approach.
Harnessing Collective Intelligence
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Online Community Evangelist
The document discusses collaboration technologies for business process experts (BPXs) and the role of community evangelists. It defines what a BPX is and their typical responsibilities, which involve understanding both business and technical aspects. It also explores how BPXs can leverage communities like the SAP Business Process Expert community to collaborate, gain expertise, and drive business process innovation.
Acs Presentation Thinking Outside Of Inbox V2
The document discusses the concept of Web 2.0 and how it enables new ways of collaborating and sharing information online. It provides examples of how corporations are leveraging Web 2.0 tools like blogs, wikis and social networking to boost collaboration, share knowledge, and engage with customers. The document also outlines the author's daily activities using various Web 2.0 technologies like blogs, wikis and social networks as part of his job at IBM.
myExperiment @ Nettab
Digital Identity is fundamental to collaboration in bioinformatics research and development because it enables attribution, contribution, publication to be recorded and quantified.
However, current models of identity are often obsolete and have problems capturing both small contributions "microattribution" and large contributions "mega-attribution" in Science. Without adequate identity mechanisms, the incentive for collaboration can be reduced, and the utility of collaborative social tools hindered.
Using examples of metabolic pathway analysis with the taverna workbench and myexperiment.org, this talk will illustrate problems and solutions to identifying scientists accurately and effectively in collaborative bioinformatics networks on the Web.
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Slideshare
The document discusses how sales teams can be prepared to teach customers, tailor their approach, and take control of conversations. It suggests that teams need deep insights into customers, real-time analytics to uncover opportunities and customer value, and quick access to insights to drive intelligent conversations. The document advertises a booth at Dreamforce where attendees can learn how to make the middle 70% of salespeople as productive as the top 10%.
Semantic Code Camp Presentation
The document discusses semantic technology and its use in businesses. It notes that semantic technologies can help solve the problem of information overload by providing a universal way to link data from anywhere. However, there are still issues to overcome like security, user privacy, and trust that are unique to each business. It questions what the biggest challenges are to starting to use semantic technologies in enterprises and who within organizations are driving discussions about semantic approaches.
Synaptica New Feature: Auto Match
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More information on the Synaptica Central Blog: http://bit.ly/15jMV8
Please contact daniela.barbosa [at] dowjones.com to schedule a demo or receive additional information about Synaptica or this new feature.
DataPortability Project : Plenary Quarterly Meeting Q1 09
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http://synapticacentral.com/category/subjects/semantic-web-webinars
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The document discusses taxonomy development and digital projects. It provides definitions of key terms like controlled vocabularies, taxonomies, thesauri and ontologies. It explains purposes like translation, consistency, navigation, search and retrieval. Challenges like ambiguity, synonymy and polyhierarchies are covered. Guidelines and standards for building taxonomies are also summarized. The value proposition of taxonomies for improving search, productivity and information sharing is outlined.
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http://www.web3event.com/conference/sessionsbyday.php#B6
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The business risks for Web 3.0 are fundamentally changing with increased public scrutiny of data privacy, portability, expanded Web Services, data sharing, cloud computing, etc. New privacy laws, new technological capabilities, and new user demands have created a situation where the question most frequently cited by students of Web 3.0 implementations have asked: we understand how beneficial it is to link data and derive new improved services, knowledge about our users/customers but what about privacy, regulation from the consumer perspective? Added to this on the enterprise side is the apprehension that with data portability, meshing data, comes loss of core business competitiveness. This session clearly explains why "you should have no fear": Web 3.0 is flexible enough to provide a tight access control relative to who, when, with whom data is owned, and by using Semantic Web Services, add a layer of security via programmatic and granular permissioning to which of your partners or developers can link to which piece of information (in a way that DBMS of today cannot). Key questions are discussed: who owns user data? How should users be able to reuse it? Why should companies consider allowing their users' personal data to be easily transportable? The answer here is: because in the end it will bring our users/customers closer, a finding many major enterprises have realized: Nokia, etc.
MODERATOR: Gil Beyda, Managing Partner, Genacast Ventures
PANELIST: Daniela Barbosa, Co-Founder, Data Portability
PANELIST: Michael Benedek, Vice President, AlmondNet
PANELIST: Sandro Hawke, Semantic Web Developer, W3C
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This case study addresses the challenges ProQuest faced in managing multilingual controlled vocabularies using multiple Word documents and authority files maintained in an Oracle database. Speakers describe how implementing a thesaurus management tool helped ProQuest simplify and standardize its business semantic management to create a common language and connect disparate information assets as well as handling large and varied vocabularies and authority files, linking new and existing editorial systems and enabling hierarchical views, and automating thesaurus management tasks.
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http://danielabarbosa.blogspot.com/2008/09/web-20-nyc-presentation-understanding.html
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http://factiva.com/infopro/index.asp Presented by: Daniela Barbosa, Business Development Manager, Synaptica
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Results from a recent roundtable event on Folksonomies & Taxonomies were shared as well other research work that had been done focused on the topic.
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Defrag: Pulling the Threads on User Data
- 1. Pulling the Threads on User Data @danielabarbosa Defrag Denver http://defragcon.com/2008/ Nov 4 th 2008
- 2. Professional
- 3. Evangelist
- 5. Geek
- 6. I am no different then you
- 8. Web 1.0 Document Web
- 9. Web 2.0 Social Web
- 10. The Next Web Personal Web (but who I am?)
- 11. The ability to connect to, control, share and remix your data between trusted applications
- 12. We want this: Image: http://www.flickr.com/photos/qusic/370794788/qusic
- 13. We have this: Image: http://www.flickr.com/photos/nicmcphee/22015649 /
- 14. We forget about this: Image: http://www.flickr.com/photos/chatiryworld/540596034/
- 15. Getting Overload Information Overload Relevancy Overload What’s important to me right now
- 17. Threads: From Aggregator >> User >> Prosumer Traditional Aggregator Translates and adds metadata to an article User 1 Adds meaning by extending description of existing metadata or adding new metadata User 2 Adds meaning by further extending or adding to existing metadata Next-Gen Aggregator Combines metadata applied by communities of users Shared Meaning Analyzes shared metadata applied by communities of users
- 18. Threads: Information, People, and Connections News Commentary Analysis The Discussion Actions Prioritized Event External - Wires, Press, Web/Blogs Analyst Reports, Fundamentals, Gov. Internal, Experts, Market, Competitive Who Needs? What Info? What Format? Client contact Business Development Crisis Management
- 20. Is this your competitive Advantage?
- 21. Really?
- 22. For how long?