Search engines work by sending out computer programs called spiders or robots to search the web and index pages. They gather information from pages, store it in a database, and allow users to search for pages using keywords. Search engines rank results based on an algorithm that considers things like how many other sites link to a page. However, not all web pages are accessible to search engines, with some excluded due to technical barriers or search engine policies. Developing an effective search strategy involves considering relevance, precision, and recall as well as using tools like Boolean logic and phrase searching.
Extracting and Reducing the Semantic Information Content of Web Documents to ...ijsrd.com
Ranking and optimization of web service compositions represent challenging areas of research with significant implication for realization of the "Web of Services" vision. The semantic web, where the semantics information is indicated using machine-process able language such as the Web Ontology Language (OWL) "Semantic web service" use formal semantic description of web service functionality and enable automated reasoning over web service compositions. These semantic web services can then be automatically discovered, composed into more complex services, and executed. Automating web service composition through the use of semantic technologies calculating the semantic similarities between outputs and inputs of connected constituent services, and aggregate these values into a measure of semantics quality for the composition. It propose a novel and extensible model balancing the new dimensions of semantic quality ( as a functional quality metric) with QoS metric, and using them together as a ranking and optimization criteria. It also demonstrates the utility of Genetic Algorithms to allow optimization within the context of a large number of services foreseen by the "Web of Service" vision. To reduce the semantics of the web documents then to support semantic document retrieval by using Network Ontology Language (NOL) and to improve QoS as a ranking and optimization.
Interpreting the Semantics of Anomalies Based on Mutual Information in Link M...ijdms
This paper aims to show how mutual information can help provide a semantic interpretation of anomalies in data, characterize the anomalies, and how mutual information can help measure the information that object item X shares with another object item Y. Whilst most link mining approaches focus on predicting link type, link based object classification or object identification, this research focused on using link mining to detect anomalies and discovering links/objects among anomalies. This paper attempts to demonstrate the contribution of mutual information to interpret anomalies using a case study.
This poster provides referencing services to linking bibliographical papers and citations with existing Linked Open Data. It aims to convert current bibliographical data in various digital library databases into semantic bibliographical data to enable research profiling and intelligent knowledge discovery
An information storage and retrieval system (ISRS) is a network with a built-in user interface that facilitates the creation, searching, and modification of stored data.
Extracting and Reducing the Semantic Information Content of Web Documents to ...ijsrd.com
Ranking and optimization of web service compositions represent challenging areas of research with significant implication for realization of the "Web of Services" vision. The semantic web, where the semantics information is indicated using machine-process able language such as the Web Ontology Language (OWL) "Semantic web service" use formal semantic description of web service functionality and enable automated reasoning over web service compositions. These semantic web services can then be automatically discovered, composed into more complex services, and executed. Automating web service composition through the use of semantic technologies calculating the semantic similarities between outputs and inputs of connected constituent services, and aggregate these values into a measure of semantics quality for the composition. It propose a novel and extensible model balancing the new dimensions of semantic quality ( as a functional quality metric) with QoS metric, and using them together as a ranking and optimization criteria. It also demonstrates the utility of Genetic Algorithms to allow optimization within the context of a large number of services foreseen by the "Web of Service" vision. To reduce the semantics of the web documents then to support semantic document retrieval by using Network Ontology Language (NOL) and to improve QoS as a ranking and optimization.
Interpreting the Semantics of Anomalies Based on Mutual Information in Link M...ijdms
This paper aims to show how mutual information can help provide a semantic interpretation of anomalies in data, characterize the anomalies, and how mutual information can help measure the information that object item X shares with another object item Y. Whilst most link mining approaches focus on predicting link type, link based object classification or object identification, this research focused on using link mining to detect anomalies and discovering links/objects among anomalies. This paper attempts to demonstrate the contribution of mutual information to interpret anomalies using a case study.
This poster provides referencing services to linking bibliographical papers and citations with existing Linked Open Data. It aims to convert current bibliographical data in various digital library databases into semantic bibliographical data to enable research profiling and intelligent knowledge discovery
An information storage and retrieval system (ISRS) is a network with a built-in user interface that facilitates the creation, searching, and modification of stored data.
The second part of a day-long presentation made on November 3, 2009, covering various aspects of library cataloging, MARC records, FRBR, RDA, authority control, etc.
The first part of a day-long presentation made on November 3, 2009, covering various aspects of library cataloging, MARC records, FRBR, RDA, authority control, etc.
With businesses continuously growing and changing, it can be difficult to keep up with your phone calls. Utilizing inbound call centers can improve workflow, as well as improve customer satisfaction.
How to Take Customer Experience SeriouslyMartha Brooke
At Interaction Metrics, we take customer experience seriously. We’re not satisfied with techniques—like simplistic satisfaction surveys—that merely scratch the surface of customer experience, and you shouldn’t be either. To improve customer experience, you need an approach that recognizes the complexity of experience. And, you need clear customer experience metrics that measure what matters.
Get serious. Get a free MetricsLAB™. Or, simply drop us a line! http://www.interactionmetrics.com/
3 Steps To Bettering Your Staff's Phone Skills Without A ScriptCentury Interactive
Phone scripts could be hindering phone performance at your business.
Having good phone skills and following a script are very different. Calls are crucial to your business. They are 3 times more likely to convert than other types of leads. Are you making sure your staff is prepared to handle every call with the importance it deserves?
When was the last time you we wowed by the customer service you received. This presentation will provide you with 10 crucial tips that will help you improve your overall customer service experience to your customer base.
It costs 5-15 more to acquire a new customer than it does keeping an existing one - that's why having an unforgettable customer service experience matters.
Also, I've published a book about providing that experience and how you can keep your customers happy and delighted with your service.
If you’ve ever worked in telemarketing or cold calling, you might have had your supervisor come by and remind you put on a smile when you’re on the phone with customers.
Obnoxious? Yes. Weird? Kind of. But not without it’s merits. “Smile while you dial” is the ultimate customer service best practice.
Why? Because customers can hear you smile. As humans, we pick up on vibes and adjust our own behavior to other people’s emotional cues. This you may already know.
But what if I told you that your tone of voice when you’re talking to your customers directly influences your company’s bottom line? Believe it or not, it does.
Tips from Calvin and Hobbes on how to be a good customerFreshdesk Inc.
What could a careless, mischievous six year old possibly teach you about being a good customer? Well, not much really, but he can surely tell you a lot about what you should NOT do.
Here are a few things you can learn from Calvin about being a good customer.
For more tips on customer support, head over to the Freshdesk blog - http://blog.freshdesk.com/
Top 5 Soft Skills: What Successful People Know that Every Employee Needs to K...BizLibrary
In this program, you’ll learn about the top 5 soft skills that are most predictive of employee, leadership and organizational success in today’s highly complex and rapidly changing environment. You’ll also gain quick tips to help jump-start your development efforts for each soft skill.
www.bizlibrary.com
Some of the most successful companies have one thing in common – they offer an amazing customer experience. If you’re working on improving your strategy, get inspired by these inspirational customer experience quotes.
If you find this presentation interesting, subscribe to blog.neosperience.com to stay up to date.
12 things Disney and Pixar teach us about customer support.Freshdesk Inc.
At first glance, movies about princesses, superheroes and talking snowmen may not really make sense in the customer support space. We gave it a shot anyway.
Spoiler Alert: They do.
For more tips on customer support, head over to the Freshdesk blog - http://blog.freshdesk.com/
My talk about customer discovery and understanding customer needs from the 2015 Lean Startup Conference in San Francisco, CA. Based on the book, Talking to Humans, by Giff Constable & Frank Rimalovski. More at http://talkingtohumans.com.
IST 561 Spring 2007--Session7, Sources of InformationD.A. Garofalo
Presentation provides a brief overview of Internet searching, Boolean operators, and internet resources of use to libraries in providing reference services.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
2. What are search engines?
designed to make surfing the web
simple, fast and rewarding for
Internet users
designed to search out Web pages
one at a time and collect the
results
3. What do search engines do?
gather together information
store it in a database
allow access to a list of individual
pages based on:
a word, or,
set of words that you submit in the
form of a query
4. How do search engines work?
they send out computer programs
known as “spiders” or “robotsquot; to
search the web
interested in reading and storing
the actual text that is shown on a
web page, not graphics, etc.
5. How, continued….
spider begins by visiting a single Web
page
it saves the text that if finds there
after it has collected the information on that
page, it looks for a link that will take it to
another page
when it reaches the next page, it starts the
process all over again
by following these steps over and over
again, search engines are able to find
and index far more web pages than a
human being
6. More how…..
search engines setup spiders to begin
their searches at web sites known as
directories
large web sites that contain lists of links
that have been collected by human beings
no way for spiders to find every page
listed on the World Wide Web
millions of web pages do not have any links
to them from other sites
without these links, spiders can’t find and
index those pages
7. How do search engines show
the results?
Sites are ranked based on the textual
content of a web page
A special set of criteria, or algorithm, is
used to decide which pages to display
Algorithms consider things like the title
of the page, the text of the page, how
many other web sites link to the page,
and even what text web sites that link
to a page use to describe it
8. Search engines--review
a series of computer programs that find
and save files at a very fast rate
when combined with algorithms
designed to sort content based on text
queries search engines become a useful
tool to find a little bit of information in
that vast collection of files known as the
World Wide Web
9. Which search engine is best?
Need to understand how each search
engine works
Check out the Bruce Clay, Inc. search
engine relationship chart:
http://www.bruceclay.com/searchenginere
lationshipchart.htm
10. Invisible Web (or Deep Web)
Some pages and links are excluded
from most search engines by policy
Others are excluded because search
engine spiders cannot access them.
Pages that are excluded are referred to
as the “Invisible Web” (or “Deep Web”)
you don't see these pages in search engine
results
estimated to be two to three or more times
larger than the “visible web”
11. Why invisible pages?
If a search engine doesn’t locate a
Web page it’s because:
Technical barriers prohibit access
Choices or decisions made by the
search engine (policy) exclude the page
12. Technical barriers
Typing or judgment is required
Searchable specialized databases
Logins and/or passwords required
13. Policy issues
Page format
Non-HTML pages
Script-based programs (those URLs
with a “?”)
14. Research issues
Different search tools give
different results
Failure to retrieve does not mean
that there is nothing available
Develop a search strategy
Learn the search engine’s search
tips
Evaluation
16. Failure to retrieve
crawling Web pages and locating sites for
search engines is based on using links from
one page to reach other pages to crawl
documents with few links tend to be overlooked
if pages are never discovered, they are not
available to researchers
Failure to retrieve can also be linked to the
search query used, or search strategy
17. Search strategy
three main considerations in the search
process
Relevance
Precision
Recall
18. Successful search strategy
ability to create an exact match
between search statement and
documents sought
size and content of the search engine
selected
search engine’s search tools
19. Process
involves consultation of definition tools
subject dictionaries
thesauri, etc.
subject familiarization
i.e. if searching on medical topics, become
familiar with basic terminology
same goes for research in any other
subject area
20. Formulating a strategy
be logical
spend time on search term selection and
combining to reduce the time spent
eliminating irrelevant search results
search engines are good for searching on
unusual or unique keywords, and for
combining keywords
be creative and flexible
look for subtle connections
be prepared to make intuitive leaps
21. Simplified search strategy
Formulation of the research question and its
scope
Identification of concepts within the question
Identification of search terms to describe
those concepts
Consideration of synonyms and variations of
those terms
Preparation of the search logic
Readiness to revise and redo a search
22. Boolean logic
describes certain logical operations that
are used to combine search terms
basic Boolean operators are AND, OR
and NOT
23. AND
limits results to those items that contain
both, or all, of the search terms in the
query
search query with the AND operator will
retrieve only those items containing
both all search terms
24. OR
helpful in the first phases of a search
especially if the searcher is unsure of what
information is available on the topic or
what words are used to categorize it
when used between two words, it
instructs the search tools to retrieve any
record containing either of the words
25. NOT
The third of the most common Boolean
operators
used to eliminate records containing a
particular word or combination of words
from the search results
26. Search engine search tips
Check the Help files of a search engine
Some search engines allow you to apply date
restrictions to a search
Word order in natural language searching can
greatly influence the search
A question phrased in difference ways can
produce different results
An added influence is the weight some search
engines place on words located earlier in the
search query
27. + sign
ensures that a search engine finds
pages that have all the words you
enter, not just some of them
28. - sign
a search engine will find pages
that have one word on them but
not another word
29. Phrase searching
ensures that terms appear in the order
they are entered
placing the phrase within quotation
marks tells the search engine to retrieve
pages where the terms appear exactly
in the order specified
30. Web page evaluation
Before you leave the list of search
results -- before you click and get
interested in anything written on the
page -- glean all you can from the
URLs of each page.
choose pages most likely to be
reliable and authentic