This is a high-level summary of three important ways to help people find information. The slides were presented at Vera Rhoades' information architecture class at the University of Maryland.
Is search always the right solution? There are many things you can do with a hammer, but it’s not so great if you need to turn a screw.
Text Classification is an alternative to search that may be more appropriate for social media data analysis. Text classification is the task of assigning predefined categories to free-text documents. It can provide conceptual views of document collections and has important applications in the real world. Using text classification as the foundation for analysis – i.e., teaching a machine to categorize posts the way humans do – can dramatically improve your ability to gather the right data and, ultimately, increase the chances that you’ll uncover what you need to know.
What IA, UX and SEO Can Learn from Each OtherIan Lurie
Google has become the arbiter how users experience a website. Their data-driven determinants of what constitute good UX directly influence how a site is found. This is wrong because people, not machines, should determine experience; Google does not tell the SEO or UX community what data is used to measure experience and many elements of experience cannot be measured.This presentation reveals why Google uses UX signals to determine placement in search results and how to create a customer pleasing and highly visible user experience for your website.
Ranking in Google Since The Advent of The Knowledge GraphBill Slawski
A Two Person Panel Discussion/Presentation by Bill Slawski and Barbara Starr On June 23, 2015
The Lotico Semantic Web of San Diego
The SEO San Diego Meetup
The SEM San Diego Meetup
http://www.meetup.com/InternetMarketingSanDiego/events/222788495/
User experience drives search engines, and hence their results. Search Engine Result Presentation/Placements naturally follow that route.
This means that search results are no longer exclusively based on just ranking criteria. Amongst other critical factors is understanding the notion of 'ordering vs ranking', the impact of context and many others.
Structured data and metadata evaluation methodology for organizations looking...Emily Kolvitz
The current state of findability on the web for many organizations is incipient. Search Engine Optimization (SEO) techniques change frequently and remain much a mystery to many companies. The one variable in the equation of web findability that remains a staple is good quality metadata under the hood of the website.
This research methodology will allow for :
An assessment of findability maturity on the web from an image-centric viewpoint
Help improve findability on the web by establishing a baseline for where your organization is at in terms of structured data content and visualize gaps or areas for improvement from a search engine neutral perspective
Is search always the right solution? There are many things you can do with a hammer, but it’s not so great if you need to turn a screw.
Text Classification is an alternative to search that may be more appropriate for social media data analysis. Text classification is the task of assigning predefined categories to free-text documents. It can provide conceptual views of document collections and has important applications in the real world. Using text classification as the foundation for analysis – i.e., teaching a machine to categorize posts the way humans do – can dramatically improve your ability to gather the right data and, ultimately, increase the chances that you’ll uncover what you need to know.
What IA, UX and SEO Can Learn from Each OtherIan Lurie
Google has become the arbiter how users experience a website. Their data-driven determinants of what constitute good UX directly influence how a site is found. This is wrong because people, not machines, should determine experience; Google does not tell the SEO or UX community what data is used to measure experience and many elements of experience cannot be measured.This presentation reveals why Google uses UX signals to determine placement in search results and how to create a customer pleasing and highly visible user experience for your website.
Ranking in Google Since The Advent of The Knowledge GraphBill Slawski
A Two Person Panel Discussion/Presentation by Bill Slawski and Barbara Starr On June 23, 2015
The Lotico Semantic Web of San Diego
The SEO San Diego Meetup
The SEM San Diego Meetup
http://www.meetup.com/InternetMarketingSanDiego/events/222788495/
User experience drives search engines, and hence their results. Search Engine Result Presentation/Placements naturally follow that route.
This means that search results are no longer exclusively based on just ranking criteria. Amongst other critical factors is understanding the notion of 'ordering vs ranking', the impact of context and many others.
Structured data and metadata evaluation methodology for organizations looking...Emily Kolvitz
The current state of findability on the web for many organizations is incipient. Search Engine Optimization (SEO) techniques change frequently and remain much a mystery to many companies. The one variable in the equation of web findability that remains a staple is good quality metadata under the hood of the website.
This research methodology will allow for :
An assessment of findability maturity on the web from an image-centric viewpoint
Help improve findability on the web by establishing a baseline for where your organization is at in terms of structured data content and visualize gaps or areas for improvement from a search engine neutral perspective
Semantic search helps business people find answers to pressing questions by wading through oceans of information to find nuggets of meaningful information. In this presentation we’ll discuss how semantic search and content analysis technologies are starting to appear in the marketplace today. We’ll provide a recap of what semantic search is and what the key benefits are, then we’ll answer the following questions:
• Is semantic search a feature, an application, or enterprise system?
• How can I add semantic search to my existing work processes?
• Will I need to replace my existing content technologies?
• What will I need to do to prepare my content for semantic search?
• Is semantic search just for documents or can I search my data too?
• Can I use semantic search to find information on the internet and other public data sources?
• Are there standards to consider?
If you think you need a search application, there are some useful first steps to take:
* validating that full-text search is the right technology
* producing sets of ideal results you'd like to return for a range of queries
* considering the value of supplementing a basic search result list with document clustering
* producing more specific requirements and investigating technology options
Enhanced Web Usage Mining Using Fuzzy Clustering and Collaborative Filtering ...inventionjournals
Information is overloaded in the Internet due to the unstable growth of information and it makes information search as complicate process. Recommendation System (RS) is the tool and largely used nowadays in many areas to generate interest items to users. With the development of e-commerce and information access, recommender systems have become a popular technique to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Web recommendation systems assist the users to get the exact information and facilitate the information search easier. Web recommendation is one of the techniques of web personalization, which recommends web pages or items to the user based on the previous browsing history. But the tremendous growth in the amount of the available information and the number of visitors to web sites in recent years places some key challenges for recommender system. The recent recommender systems stuck with producing high quality recommendation with large information, resulting unwanted item instead of targeted item or product, and performing many recommendations per second for millions of user and items. To avoid these challenges a new recommender system technologies are needed that can quickly produce high quality recommendation, even for a very large scale problems. To address these issues we use two recommender system process using fuzzy clustering and collaborative filtering algorithms. Fuzzy clustering is used to predict the items or product that will be accessed in the future based on the previous action of user browsers behavior. Collaborative filtering recommendation process is used to produce the user expects result from the result of fuzzy clustering and collection of Web Database data items. Using this new recommendation system, it results the user expected product or item with minimum time. This system reduces the result of unrelated and unwanted item to user and provides the results with user interested domain.
Search Analytics For Content Strategists @CSofNYCWIKOLO
Search is a conversation, learn to listen to what you visitors are telling you by understanding their search behavior. In this presentation we'll cover information foraging, search analysis, and how to use them and other techniques to improve your content without having to be a statistician.
- WTF is meme culture? / memes anatomy - Definition, examples, mechanisms and analysis issues for brands: "So / Cult", storytelling experts and "Curiouser", digital world's observers, combined to deliver a fun and sharp analysis about the meme culture.
Semantic search helps business people find answers to pressing questions by wading through oceans of information to find nuggets of meaningful information. In this presentation we’ll discuss how semantic search and content analysis technologies are starting to appear in the marketplace today. We’ll provide a recap of what semantic search is and what the key benefits are, then we’ll answer the following questions:
• Is semantic search a feature, an application, or enterprise system?
• How can I add semantic search to my existing work processes?
• Will I need to replace my existing content technologies?
• What will I need to do to prepare my content for semantic search?
• Is semantic search just for documents or can I search my data too?
• Can I use semantic search to find information on the internet and other public data sources?
• Are there standards to consider?
If you think you need a search application, there are some useful first steps to take:
* validating that full-text search is the right technology
* producing sets of ideal results you'd like to return for a range of queries
* considering the value of supplementing a basic search result list with document clustering
* producing more specific requirements and investigating technology options
Enhanced Web Usage Mining Using Fuzzy Clustering and Collaborative Filtering ...inventionjournals
Information is overloaded in the Internet due to the unstable growth of information and it makes information search as complicate process. Recommendation System (RS) is the tool and largely used nowadays in many areas to generate interest items to users. With the development of e-commerce and information access, recommender systems have become a popular technique to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Web recommendation systems assist the users to get the exact information and facilitate the information search easier. Web recommendation is one of the techniques of web personalization, which recommends web pages or items to the user based on the previous browsing history. But the tremendous growth in the amount of the available information and the number of visitors to web sites in recent years places some key challenges for recommender system. The recent recommender systems stuck with producing high quality recommendation with large information, resulting unwanted item instead of targeted item or product, and performing many recommendations per second for millions of user and items. To avoid these challenges a new recommender system technologies are needed that can quickly produce high quality recommendation, even for a very large scale problems. To address these issues we use two recommender system process using fuzzy clustering and collaborative filtering algorithms. Fuzzy clustering is used to predict the items or product that will be accessed in the future based on the previous action of user browsers behavior. Collaborative filtering recommendation process is used to produce the user expects result from the result of fuzzy clustering and collection of Web Database data items. Using this new recommendation system, it results the user expected product or item with minimum time. This system reduces the result of unrelated and unwanted item to user and provides the results with user interested domain.
Search Analytics For Content Strategists @CSofNYCWIKOLO
Search is a conversation, learn to listen to what you visitors are telling you by understanding their search behavior. In this presentation we'll cover information foraging, search analysis, and how to use them and other techniques to improve your content without having to be a statistician.
- WTF is meme culture? / memes anatomy - Definition, examples, mechanisms and analysis issues for brands: "So / Cult", storytelling experts and "Curiouser", digital world's observers, combined to deliver a fun and sharp analysis about the meme culture.
The majority of companies will have asset registers for maintaining and keeping track of their assets. However, the real challenge is keeping the information accurate and up to date.
Enterprise Integration Pack & On-Premises Data GatewayDaniel Toomey
Presentation delivered by Dan Toomey at the 2017 Global Integration Bootcamp in Brisbane. Many slides are courtesy of the Pro Integration product team at Microsoft.
Risk assessment principles and guidelinesHaris Tahir
Risk assessment principles and guidelines is a presentation slides was created and presented at Mission Critical Workshop. This slides is part of Business Continuity Management (BCM) presentation which intended for professional who is responsible for BCM or Risk Assessment Program.
How to Become a Thought Leader in Your NicheLeslie Samuel
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024.
Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights.
Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer.
Learn about:
- The essence and purpose of taxonomies and ontologies in information and knowledge management;
- Advantages of semantic layers leveraging organizational taxonomies; and
- Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
FaceTag: Integrating Bottom-up and Top-down Classification in a Social Taggin...Andrea Resmini
FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources.
It aims to show how the widespread homogeneous and flat keywords' space created by users while tagging can be effectively mixed with a richer faceted classification scheme to improve the �information scent� and �berrypicking� capabilities of the system. The additional semantic structure is aggregated both implicitly observing user behaviour and explicitly introducing a compelling user experience that facilitates the end-user creation of relationships between tags.
FaceTag current implementation is written in PHP / SQL and includes an open API which allows querying and integration from other applications.
FaceTag is a working prototype of a semantic collaborative tagging tool conceived for bookmarking information architecture resources. It aims to show how the flat keywords space of user-generated tags can be effectively mixed with a richer faceted classification scheme to improve the system information architecture.
his talk will feature some of my recent research into the alternative uses for Solr facets and facet metadata. I will develop the idea that facets can be used to discover similarities between items and attributes in a search index, and show some interesting applications of this idea. A common takeaway is that using facets and facet metadata in non-conventional ways enables the semantic context of a query to be automatically tuned. This has important implications for user-centric and semantically focused relevance.
Achieving the functions of a Uniform title, without a Uniform title?Jenn Riley
Riley, Jenn. "Achieving the functions of a Uniform title, without a Uniform title?" International Association of Music Libraries Archives and Documentation Centres Annual Conference 2006, June 18-23, 2006.
Taxonomy is a useful way to categorize your content so you can find it, re-use it, and help users browse and search through your content. It also helps with search engine optimization.
IWMW 2002: The Value of Metadata and How to Realise ItIWMW
Workshop session at IWMW 2002 on "The Value of Metadata and How to Realise It" facilitated by Dennis Nicholson.
See http://www.ukoln.ac.uk/web-focus/events/workshops/webmaster-2002/materials/nicholson/
Presentation for Metadata Working Group at Cornell. Based on book chapter (with Diane Hillmann) in "Metadata in Practice". For some reason it has become unexpectedly citable.
Post-conference workshop at tcworld India 2012. Provides background on structured authoring, XML, planning your topics, writing topics, and writing for re-use.
Presentation to the Information & Knowledge Management Society in Singapore, March 2008, on approaches to integrating controlled and uncontrolled vocabularies.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
2. Where does this fit in my project? Search Sitemap Portals Content Integration & Aggregation (Yahoo, Lexis/Nexis) Discover Metadata Navigation Filters Classify/ Organize Content Assets Create