- Social media creates a large amount of user-generated content but makes it difficult to search, retrieve, aggregate, summarize, filter, and mine this content. Semantic technology can help address these issues.
- As social networks grow larger, they tend to fragment into smaller groups. Semantic technology could help provide more structure to facilitate connections between users in large, fragmented networks.
- The document discusses opportunities for semantic networks that are organized around concepts and ideas rather than social connections, in order to better address the knowledge-sharing functions of social media.
The document discusses combining domain intelligence and social intelligence to address issues with Web 2.0 and user-generated content overload. It proposes infusing semantic technologies into social applications to better understand content and relationships. This could help with personalized recommendations, advertising, and aggregating short media like tweets through semantic annotation and richer user profiles. The key is observing both how people interact with content and each other online.
The document discusses how marketing content can be structured using extraction engines to generate metadata that can help with SEO, reader engagement, and creating new content experiences. It describes how extraction engines work by taking in content, categorizing it, and returning metadata like people, places, companies, facts and events mentioned in the text along with links to related open data on the web. This metadata can then be used to streamline operations, enhance content, create topic hubs, and improve search, analytics and monetization through more relevant ad placement.
1) The document discusses the pros and cons of using email reply-all approaches versus wikis for collaborative work.
2) With email reply-all, it can be difficult to manage conversations and information can get lost, while wikis allow for centralized information but are less effective for small collaborations.
3) The document proposes that integrating wikis and email by allowing notifications, posting, and editing via email could combine the benefits of both approaches for collaborative work.
This document summarizes LinkedIn's approach to personalizing users' news feeds using machine learning. It discusses how the feed helps users stay informed, connected, and establish their brand. It then describes LinkedIn's feed recommendation system and the challenges of recommending heterogeneous content to different user segments. The rest of the document outlines LinkedIn's feed relevance and mixer systems, the features and models used, and techniques for addressing issues like joint feed effects and ensuring diversity.
This document discusses data portability and open social graphs in social networks. It argues that users should own their user-generated content and have the ability to easily export it from one social network to another. An open social graph would allow relationship and identity data to be portable between networks, encouraging competition and the emergence of niche social networks. The document proposes that xOpenID, an extension of OpenID that includes social relationships, provides a balanced solution for achieving an open social graph without requiring direct data sharing between networks. For xOpenID to work, it would need adoption by major networks to reach critical mass and apply pressure on others to also adopt it.
Social Graph Symposium Panel - May 2010Ho John Lee
The document summarizes a panel discussion on analyzing social graphs from social networks like Twitter and Facebook. It discusses how observing social networks can reveal information about users' interests, groups, and behaviors. It also describes how graph analysis can be used for relevance ranking, identifying information diffusion patterns, topic/sentiment analysis, and predicting user interests and affiliations. Privacy issues around clustering and identifying users are also mentioned.
This document summarizes LinkedIn's approach to personalizing users' news feeds to improve relevance and address scalability challenges. It describes generating affinity scores for viewer-activity type, viewer-actor, and their combination. These scores are computed offline and stored to quickly retrieve for online scoring, avoiding computation overhead. Experiments show personalization improves click-through rates.
- Social media creates a large amount of user-generated content but makes it difficult to search, retrieve, aggregate, summarize, filter, and mine this content. Semantic technology can help address these issues.
- As social networks grow larger, they tend to fragment into smaller groups. Semantic technology could help provide more structure to facilitate connections between users in large, fragmented networks.
- The document discusses opportunities for semantic networks that are organized around concepts and ideas rather than social connections, in order to better address the knowledge-sharing functions of social media.
The document discusses combining domain intelligence and social intelligence to address issues with Web 2.0 and user-generated content overload. It proposes infusing semantic technologies into social applications to better understand content and relationships. This could help with personalized recommendations, advertising, and aggregating short media like tweets through semantic annotation and richer user profiles. The key is observing both how people interact with content and each other online.
The document discusses how marketing content can be structured using extraction engines to generate metadata that can help with SEO, reader engagement, and creating new content experiences. It describes how extraction engines work by taking in content, categorizing it, and returning metadata like people, places, companies, facts and events mentioned in the text along with links to related open data on the web. This metadata can then be used to streamline operations, enhance content, create topic hubs, and improve search, analytics and monetization through more relevant ad placement.
1) The document discusses the pros and cons of using email reply-all approaches versus wikis for collaborative work.
2) With email reply-all, it can be difficult to manage conversations and information can get lost, while wikis allow for centralized information but are less effective for small collaborations.
3) The document proposes that integrating wikis and email by allowing notifications, posting, and editing via email could combine the benefits of both approaches for collaborative work.
This document summarizes LinkedIn's approach to personalizing users' news feeds using machine learning. It discusses how the feed helps users stay informed, connected, and establish their brand. It then describes LinkedIn's feed recommendation system and the challenges of recommending heterogeneous content to different user segments. The rest of the document outlines LinkedIn's feed relevance and mixer systems, the features and models used, and techniques for addressing issues like joint feed effects and ensuring diversity.
This document discusses data portability and open social graphs in social networks. It argues that users should own their user-generated content and have the ability to easily export it from one social network to another. An open social graph would allow relationship and identity data to be portable between networks, encouraging competition and the emergence of niche social networks. The document proposes that xOpenID, an extension of OpenID that includes social relationships, provides a balanced solution for achieving an open social graph without requiring direct data sharing between networks. For xOpenID to work, it would need adoption by major networks to reach critical mass and apply pressure on others to also adopt it.
Social Graph Symposium Panel - May 2010Ho John Lee
The document summarizes a panel discussion on analyzing social graphs from social networks like Twitter and Facebook. It discusses how observing social networks can reveal information about users' interests, groups, and behaviors. It also describes how graph analysis can be used for relevance ranking, identifying information diffusion patterns, topic/sentiment analysis, and predicting user interests and affiliations. Privacy issues around clustering and identifying users are also mentioned.
This document summarizes LinkedIn's approach to personalizing users' news feeds to improve relevance and address scalability challenges. It describes generating affinity scores for viewer-activity type, viewer-actor, and their combination. These scores are computed offline and stored to quickly retrieve for online scoring, avoiding computation overhead. Experiments show personalization improves click-through rates.
This document discusses LinkedIn's efforts to personalize users' news feeds by ranking the large number of heterogeneous activity updates. Personalization models were developed to predict a user's click-through rate based on affinities between the user and activity types as well as between the user and actors. Testing showed that personalization achieved higher click-through rates than non-personalized approaches. The models were deployed at large scale to rank billions of possible user-activity pairs daily based on past interactions. Further work aims to personalize at finer levels such as by activity topic or individual user.
Jill Freyne - Collecting community wisdom: integrating social search and soci...DERIGalway
This document discusses integrating social search and social navigation to help users more efficiently find relevant information. It describes a system called Community Wisdom that monitors users' search and browsing behaviors to provide social support. An evaluation found users found more relevant papers 22% faster with less effort when social icons showed the activities of other users. Subjects noted the social icons helped them locate information easier on the ACM Digital Library.
This document discusses the evolution of the World Wide Web from Web 1.0 to Web 3.0. Web 1.0 allowed basic one-way interactions, while Web 2.0 introduced user-generated content through blogs and social media. Web 3.0 is described as utilizing semantics to connect data and people through applications built from small, customizable components in the cloud. Key characteristics of Web 3.0 include intelligent search, personalized interactions, behavioral advertising, and information validated by community feedback.
The document discusses Web 2.0 concepts and provides examples of how different characters could utilize various Web 2.0 technologies in their work or goals. It outlines concepts like blogging, forums, wikis, social networking, bookmarking, folksonomy, instant messaging, syndication, mashups, rich internet applications, and collaborative software. It then has groups brainstorm how a project manager, freelance consultant, campaign manager, university dean, public relations professional, and marketing VP could apply these concepts.
Presented at the Florida Library Association annual conference on April 7, 2010, by Britta Krabill, Susan Ariew, Gina Clifford, and Catherine Lavallée-Welch.
The document discusses the evolution of social media and the open graph. It notes that Mark Zuckerberg introduced the open graph in 2010 to replace Facebook Connect and allow information to be more openly accessible on the web. It also notes that venture capital funding of social media startups increased significantly between Q1 and Q4. Finally, it discusses trends toward social media becoming the next search engine and people's preference for using social sign-on to access websites and applications.
Multi-Layer Friendship Modeling for Location-Based Mobile Social Networksguanling
The document summarizes research on modeling friendships in location-based mobile social networks. It presents a multi-layered approach that combines metrics like user tags, social graph connections, and shared locations to predict potential new friendships. The researchers collected data from the social networking site Brightkite, analyzing over 1.5 million user updates, and tested whether their model using these metrics could accurately recommend new friend links formed in a later period. They found their combined metrics approach outperformed other models and that location data provided important predictive power for friend recommendations.
The document provides an overview of LinkedIn's Feed and FollowFeed systems. It discusses how the Feed aggregates updates from a user's network and recommendations. It then describes how the Activity Store stores social content and how FollowFeed uses an embedded index to retrieve and rank recent activities from a user's network. It concludes with an operational overview of how FollowFeed is deployed and managed at LinkedIn.
A brief introduction to social media and Open Social, with an emphasis on enterprise use cases.
Are you able to engage with customers when they're ready to act?
- Social Applications Background
- Social graph intro
- Federated Social Network
- Evolution of social networks
- Customer reach
- How your company is represented on the social web
- Social Application Development
- Defining characteristics of social applications
- Opensocial simplified application architecture
- Opensocial application hosts
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...Paul Gilbreath
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
This document provides guidance on setting up and maintaining an online presence through blogging and social media. It outlines key concepts and components like blogs, tweets, colleagues and articles. It then provides step-by-step instructions on tasks like giving posts categories and tags, appropriately sizing images, and using tools like Bit.ly and Diigo for sharing links and collaborating with others.
2015 pdf-marc smith-node xl-social media snaMarc Smith
This document provides an introduction to social network analysis using the NodeXL tool. It discusses how NodeXL can be used to map social media networks from platforms like Twitter. Different types of social media networks are identified, including polarized crowds, tight crowds, brand clusters, community clusters, broadcast networks, and support networks. Examples of social network scholarship are presented. Strategies for using social network analysis to improve engagement on social media are also discussed.
The document discusses various concepts related to Web 2.0 including social media platforms, folksonomy/tagging, syndication, mashups, and collaborative software. It describes tools like blogs, forums, wikis, social networks, bookmarking, instant messaging, and e-commerce sites that enable user participation, collaboration, and sharing of information and content online. The rise of these Web 2.0 technologies and applications provides the infrastructure for more open innovation and new ways of working together.
2015 #MMeasure-Marc Smith-NodeXL Mapping social media using social network ma...Marc Smith
Networks are a powerful way to understand social media.
This talk reviews the ways the NodeXL application can be used to reveal the social media networks structures around topics.
The document discusses the rise of social networking as part of Web 2.0 and the increasing social aspects of the internet. It defines social networking as using websites to connect with other people and share content. Popular social networking sites mentioned include Facebook, LinkedIn, and MySpace. The document notes that many websites now have social elements like profiles, tags, and sharing. It also discusses issues around personal identity, privacy, and appropriate usage policies for social networks.
Profiling User Interests on the Social Semantic WebFabrizio Orlandi
Fabrizio Orlandi's PhD Viva @Insight NUI Galway (ex-DERI) - 31/03/2014.
Supervisors: Alexandre Passant and John G. Breslin.
Examiners: Fabien Gandon and Stefan Decker
This document discusses an activity ranking system for LinkedIn's feed. It describes LinkedIn's large, heterogeneous set of over 40 activity types that must be ranked. It considers straw man approaches like reverse chronological ranking or ranking by social popularity, but notes these don't ensure relevance. The system models each activity with features of the actor, viewer, and their relationship. It trains a logistic regression model on a large scale to predict click-through rates and rank activities. Desktop testing showed the importance of factors like freshness, impression discounting, and personalization for improving the ranking model.
Multi-Source Provenance-Aware User Interest Profiling on the Social Semantic WebFabrizio Orlandi
This document discusses improving user interest profiling techniques by leveraging linked data, the provenance of data, and the social semantic web. It aims to address challenges like information isolation across social media sites and the lack of provenance on the web of data. Key research questions focus on how to extract and aggregate user information from social media following linked data principles, the role of provenance for user profiling, and how to use the web of data and semantic technologies to enrich profiles. The work aims to represent user profiles interoperably and adapt profiling algorithms to different social media and data origins.
1. Real-time content and search allows information to be pushed to users as it becomes available, similar to instant messaging, increasing user engagement. This real-time approach is being implemented across social networks, search engines, and news sites.
2. There are many sources of real-time content including Twitter, Facebook updates, YouTube videos, blog posts, and news articles. This real-time content and conversations are accessible on both mobile devices and desktops.
3. For local search directories, real-time means structuring and displaying local business content, activities, product inventory, reviews, and opportunities in a live, constantly-updating manner to remain relevant to users in a time-crunched world. This
Building the Social Library Online - CopenhagenMeredith Farkas
The document discusses how social software can benefit libraries. It defines social software as tools that allow people to communicate, collaborate, and build community online. Examples include blogs, wikis, social networking sites, and more. The document outlines characteristics of social software like easy content creation and sharing. It explores how libraries can use social software to disseminate information, get feedback from users, provide remote services, and capitalize on collective intelligence. Finally, it provides strategies for implementing social software in libraries, such as involving staff, considering barriers to use, and starting small.
This document discusses using social media and Enterprise 2.0 tools for collaboration. It begins by asking which social media platforms people use like Twitter, LinkedIn, Facebook. It then discusses how these platforms and others like YouTube, Wikipedia can be used both personally and professionally. It focuses on how Enterprise 2.0 uses these same tools internally for engagement, communication, innovation and knowledge sharing among employees, customers and partners to increase productivity, collaboration and business agility.
This document discusses LinkedIn's efforts to personalize users' news feeds by ranking the large number of heterogeneous activity updates. Personalization models were developed to predict a user's click-through rate based on affinities between the user and activity types as well as between the user and actors. Testing showed that personalization achieved higher click-through rates than non-personalized approaches. The models were deployed at large scale to rank billions of possible user-activity pairs daily based on past interactions. Further work aims to personalize at finer levels such as by activity topic or individual user.
Jill Freyne - Collecting community wisdom: integrating social search and soci...DERIGalway
This document discusses integrating social search and social navigation to help users more efficiently find relevant information. It describes a system called Community Wisdom that monitors users' search and browsing behaviors to provide social support. An evaluation found users found more relevant papers 22% faster with less effort when social icons showed the activities of other users. Subjects noted the social icons helped them locate information easier on the ACM Digital Library.
This document discusses the evolution of the World Wide Web from Web 1.0 to Web 3.0. Web 1.0 allowed basic one-way interactions, while Web 2.0 introduced user-generated content through blogs and social media. Web 3.0 is described as utilizing semantics to connect data and people through applications built from small, customizable components in the cloud. Key characteristics of Web 3.0 include intelligent search, personalized interactions, behavioral advertising, and information validated by community feedback.
The document discusses Web 2.0 concepts and provides examples of how different characters could utilize various Web 2.0 technologies in their work or goals. It outlines concepts like blogging, forums, wikis, social networking, bookmarking, folksonomy, instant messaging, syndication, mashups, rich internet applications, and collaborative software. It then has groups brainstorm how a project manager, freelance consultant, campaign manager, university dean, public relations professional, and marketing VP could apply these concepts.
Presented at the Florida Library Association annual conference on April 7, 2010, by Britta Krabill, Susan Ariew, Gina Clifford, and Catherine Lavallée-Welch.
The document discusses the evolution of social media and the open graph. It notes that Mark Zuckerberg introduced the open graph in 2010 to replace Facebook Connect and allow information to be more openly accessible on the web. It also notes that venture capital funding of social media startups increased significantly between Q1 and Q4. Finally, it discusses trends toward social media becoming the next search engine and people's preference for using social sign-on to access websites and applications.
Multi-Layer Friendship Modeling for Location-Based Mobile Social Networksguanling
The document summarizes research on modeling friendships in location-based mobile social networks. It presents a multi-layered approach that combines metrics like user tags, social graph connections, and shared locations to predict potential new friendships. The researchers collected data from the social networking site Brightkite, analyzing over 1.5 million user updates, and tested whether their model using these metrics could accurately recommend new friend links formed in a later period. They found their combined metrics approach outperformed other models and that location data provided important predictive power for friend recommendations.
The document provides an overview of LinkedIn's Feed and FollowFeed systems. It discusses how the Feed aggregates updates from a user's network and recommendations. It then describes how the Activity Store stores social content and how FollowFeed uses an embedded index to retrieve and rank recent activities from a user's network. It concludes with an operational overview of how FollowFeed is deployed and managed at LinkedIn.
A brief introduction to social media and Open Social, with an emphasis on enterprise use cases.
Are you able to engage with customers when they're ready to act?
- Social Applications Background
- Social graph intro
- Federated Social Network
- Evolution of social networks
- Customer reach
- How your company is represented on the social web
- Social Application Development
- Defining characteristics of social applications
- Opensocial simplified application architecture
- Opensocial application hosts
Web 2.0 Collective Intelligence - How to use collective intelligence techniqu...Paul Gilbreath
Source: http://www.helioteixeira.org/ How to use Collective Intelligence techniques to ensure that your web application can extract valuable data from its usage and deliver that value right back to the users. (MODULE 1)
This document provides guidance on setting up and maintaining an online presence through blogging and social media. It outlines key concepts and components like blogs, tweets, colleagues and articles. It then provides step-by-step instructions on tasks like giving posts categories and tags, appropriately sizing images, and using tools like Bit.ly and Diigo for sharing links and collaborating with others.
2015 pdf-marc smith-node xl-social media snaMarc Smith
This document provides an introduction to social network analysis using the NodeXL tool. It discusses how NodeXL can be used to map social media networks from platforms like Twitter. Different types of social media networks are identified, including polarized crowds, tight crowds, brand clusters, community clusters, broadcast networks, and support networks. Examples of social network scholarship are presented. Strategies for using social network analysis to improve engagement on social media are also discussed.
The document discusses various concepts related to Web 2.0 including social media platforms, folksonomy/tagging, syndication, mashups, and collaborative software. It describes tools like blogs, forums, wikis, social networks, bookmarking, instant messaging, and e-commerce sites that enable user participation, collaboration, and sharing of information and content online. The rise of these Web 2.0 technologies and applications provides the infrastructure for more open innovation and new ways of working together.
2015 #MMeasure-Marc Smith-NodeXL Mapping social media using social network ma...Marc Smith
Networks are a powerful way to understand social media.
This talk reviews the ways the NodeXL application can be used to reveal the social media networks structures around topics.
The document discusses the rise of social networking as part of Web 2.0 and the increasing social aspects of the internet. It defines social networking as using websites to connect with other people and share content. Popular social networking sites mentioned include Facebook, LinkedIn, and MySpace. The document notes that many websites now have social elements like profiles, tags, and sharing. It also discusses issues around personal identity, privacy, and appropriate usage policies for social networks.
Profiling User Interests on the Social Semantic WebFabrizio Orlandi
Fabrizio Orlandi's PhD Viva @Insight NUI Galway (ex-DERI) - 31/03/2014.
Supervisors: Alexandre Passant and John G. Breslin.
Examiners: Fabien Gandon and Stefan Decker
This document discusses an activity ranking system for LinkedIn's feed. It describes LinkedIn's large, heterogeneous set of over 40 activity types that must be ranked. It considers straw man approaches like reverse chronological ranking or ranking by social popularity, but notes these don't ensure relevance. The system models each activity with features of the actor, viewer, and their relationship. It trains a logistic regression model on a large scale to predict click-through rates and rank activities. Desktop testing showed the importance of factors like freshness, impression discounting, and personalization for improving the ranking model.
Multi-Source Provenance-Aware User Interest Profiling on the Social Semantic WebFabrizio Orlandi
This document discusses improving user interest profiling techniques by leveraging linked data, the provenance of data, and the social semantic web. It aims to address challenges like information isolation across social media sites and the lack of provenance on the web of data. Key research questions focus on how to extract and aggregate user information from social media following linked data principles, the role of provenance for user profiling, and how to use the web of data and semantic technologies to enrich profiles. The work aims to represent user profiles interoperably and adapt profiling algorithms to different social media and data origins.
1. Real-time content and search allows information to be pushed to users as it becomes available, similar to instant messaging, increasing user engagement. This real-time approach is being implemented across social networks, search engines, and news sites.
2. There are many sources of real-time content including Twitter, Facebook updates, YouTube videos, blog posts, and news articles. This real-time content and conversations are accessible on both mobile devices and desktops.
3. For local search directories, real-time means structuring and displaying local business content, activities, product inventory, reviews, and opportunities in a live, constantly-updating manner to remain relevant to users in a time-crunched world. This
Building the Social Library Online - CopenhagenMeredith Farkas
The document discusses how social software can benefit libraries. It defines social software as tools that allow people to communicate, collaborate, and build community online. Examples include blogs, wikis, social networking sites, and more. The document outlines characteristics of social software like easy content creation and sharing. It explores how libraries can use social software to disseminate information, get feedback from users, provide remote services, and capitalize on collective intelligence. Finally, it provides strategies for implementing social software in libraries, such as involving staff, considering barriers to use, and starting small.
This document discusses using social media and Enterprise 2.0 tools for collaboration. It begins by asking which social media platforms people use like Twitter, LinkedIn, Facebook. It then discusses how these platforms and others like YouTube, Wikipedia can be used both personally and professionally. It focuses on how Enterprise 2.0 uses these same tools internally for engagement, communication, innovation and knowledge sharing among employees, customers and partners to increase productivity, collaboration and business agility.
This document discusses how HR can leverage social media and enterprise 2.0 platforms. It begins by defining key social media platforms like Facebook, Twitter, LinkedIn, and Wikipedia. It then discusses how these can be used for HR purposes like recruitment, networking, and knowledge sharing. The document also discusses enterprise 2.0 concepts like social networks, blogs, wikis and how these internal tools can boost productivity, innovation and engagement. It argues HR should drive adoption of these tools by establishing guidelines, introducing an element of fun, and motivating creativity.
1) The document discusses the relationship between identity and social networking in the enterprise, noting that identity communities see relationships as key while collaboration communities see identity as key.
2) It explores how profiles on enterprise social network sites relate to identity, noting gaps around how profiles are used, attributes, privacy, and implications of mixing personal and enterprise profiles.
3) Use case scenarios show how social roles and community participation can augment traditional enterprise identity information to provide a more complete picture of an employee.
This document discusses data mining techniques for social media. It begins by reviewing the growth of popular social media sites like Facebook, YouTube, and Twitter. It then discusses how social media generates huge amounts of user data through interactions and content sharing. The document outlines opportunities to use data mining on social networks to gain insights into human behavior, marketing analytics, and more. It reviews common problems studied, like community detection, node classification, and modeling information flow. The conclusion emphasizes that social media provides a massive, open dataset for developing recommender systems and targeting marketing through predictive analysis of user interests and trends.
Fyronic Seminar : Engaging with your stakeholders through Web 2.0, Social Media and Enterprise 2.0
Presented by : Franky Redant - Founder Fyronic, Consultant
Avoiding Anonymous Users in Multiple Social Media Networks (SMN)paperpublications3
Abstract: The main aim of this project is secure the user login and data sharing among the social networks like Gmail, Facebook and also find anonymous user using this networks. If the original user not available in the networks, but their friends or anonymous user knows their login details means possible to misuse their chats. In this project we have to overcome the anonymous user using the network without original user knowledge. Unauthorized user using the login to chat, share images or videos etc This is the problem to be overcome in this project .That means user first register their details with one secured question and answer. Because the anonymous user can delete their chat or data In this by using the secured questions we have to recover the unauthorized user chat history or sharing details with their IP address or MAC address. So in this project they have found out a way to prevent the anonymous users misuse the original user login details.
March 2008 presentation from a BEA Systems webinar about expertise location. Pathways lets users tag content and people, as well as bookmark internal content and external websites. It applies an algorithm to give ratings to users and information in the system.
Hear about the buzz but have no idea how to start? This is a crash course will help you understand why you should care about Twitter and how to get started.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Social Network Analysis (SNA) and its implications for knowledge discovery in...ACMBangalore
Social Network Analysis (SNA) and its implications for knowledge discovery in Informal Networks- Talk by Dr Jai Ganesh, SETLabs, Infosys at Search and Social Platforms tutorial, as part of Compute 2009, ACM Bangalore
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.
AIIM New England Social Networking PresentationDoug Cornelius
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.
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.
The document discusses principles and best practices for harnessing collective intelligence through Web 2.0 architectures. It describes how Web 2.0 is user-centered, decentralized, and collaborative. Two principles for successful participation architectures are that users add value directly through content or indirectly through their actions, and that network effects magnify this value. Harnessing collective intelligence provides benefits like rapid growth, trust-building, and improved products as the user base grows.
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 V2Johnny Teoh
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.
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.
Similar to Defrag: Pulling the Threads on User Data (20)
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%.
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.
The Newest release of Synaptica V7.1 will include this new Auto Match. The new Term AutoMatch tool will allow for the comparison of terms between two distinct Object Classes (vocabularies) and automatically perform a "mapping" between terms where there is a match based on whole or part of the term descriptions.
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--- March 31st 2009
About: Data portability is the ability for people to reuse their data across interoperable applications. The DataPortability Project works to advance this vision by identifying, contextualizing and promoting efforts in the space.
Recording of call available from March 31st to April 31st:
https://hidefconferencing.com/wav/conf268933_2138202.mp3
Info here:
http://synapticacentral.com/category/subjects/semantic-web-webinars
To listen to the Semantic Web: Part 1 Discover Webinar please visit
http://sw212-synaptica.mydj3.com/postwebinarC.phtml
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.
DataPortability Intro For Panel on Business Risks of Web 3.0. What Risks?daniela barbosa
Intro Slides for Daniela Barbosa for the following panel:
http://www.web3event.com/conference/sessionsbyday.php#B6
Business Risks of Web 3.0. What Risks?
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
Finding a Common Language: Bringing Complex and Disparate Vocabularies Togetherdaniela barbosa
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.
Understanding the Basics of Personal Data: Vendors, Users, and You (Web 2.0 NYC)daniela barbosa
Presentation used for Web 2.0 NYC session lead by Chis Saad and Daniela Barbosa titled: Understanding the Basics of Personal Data: Vendors, Users, and You
My notes and thoughts available here:
http://danielabarbosa.blogspot.com/2008/09/web-20-nyc-presentation-understanding.html
Part of the Dow Jones' InfoPro Alliance Webcast Series.
Wiki on Folksonomies and Taxonomies in the Enterprise: http://dowjonesfolksonomy.pbwiki.com/
More information here:
http://factiva.com/infopro/index.asp Presented by: Daniela Barbosa, Business Development Manager, Synaptica
Summary:
Results from a recent roundtable event on Folksonomies & Taxonomies were shared as well other research work that had been done focused on the topic.
Topics discussed include:
• What is the business value of a taxonomy/folksonomy and how can you deploy a solution that will grow with the organization?
• What’s the impact of social networking tools on the enterprise?
• Which governance tools can or should be applied?
• How do you merge folksonomies and existing taxonomies – or should you?
• Some best practices and common obstacles
To listen to the Webcast please visit:
http://w.on24.com/r.htm?e=99053&s=1&k=EF5C5961965A85A5CF52C5B4053B44C7
(Internet Explorer recommended for viewing)
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
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