An intelligent information agent is an autonomous software entity that can access heterogeneous information sources and acquire, mediate, and maintain relevant information on behalf of users. The document discusses different types of information agents including cooperative/non-cooperative agents, adaptive agents, rational agents, and mobile agents. It provides examples of software systems that implement different types of intelligent information agents like InfoSleuth, InfoSpiders, Kasbah, and SMART. The document concludes that intelligent information agents have a promising future in database retrieval and web search due to the large amount of information sources.
While more than 50% of mobile phone users in the U.S are smartphone
users according to comScore, most phones sporting a 4G antenna are
pricier than their 3G counterparts. Examining smartphone Web usage
across North America, Chitika Insights found that 4G phones contribute
to about 30% of the total traffic from all North American smartphones.
Within the 4G group, users of newer phones, specifically released after
July 2012, generated 53% of continental 4G smartphone traffic.
What Is Unstructured Data And Why Is It So Important To Businesses?Bernard Marr
Unstructured data is created at an incredible rate each day and with the advent of artificial intelligence and machine learning tools to gather, process, analyse and report insights from unstructured data, it now provides important business value to organizations. It’s essential for all businesses to start making the most of their unstructured data.
CIS 500 Complete Class Assignments, Case Studies and Term Paper - A Graded Work
Follow the link below to purchase all the assignments, case studies and term papers.
http://researcherclub.com/product.php?id_product=205
While more than 50% of mobile phone users in the U.S are smartphone
users according to comScore, most phones sporting a 4G antenna are
pricier than their 3G counterparts. Examining smartphone Web usage
across North America, Chitika Insights found that 4G phones contribute
to about 30% of the total traffic from all North American smartphones.
Within the 4G group, users of newer phones, specifically released after
July 2012, generated 53% of continental 4G smartphone traffic.
What Is Unstructured Data And Why Is It So Important To Businesses?Bernard Marr
Unstructured data is created at an incredible rate each day and with the advent of artificial intelligence and machine learning tools to gather, process, analyse and report insights from unstructured data, it now provides important business value to organizations. It’s essential for all businesses to start making the most of their unstructured data.
CIS 500 Complete Class Assignments, Case Studies and Term Paper - A Graded Work
Follow the link below to purchase all the assignments, case studies and term papers.
http://researcherclub.com/product.php?id_product=205
Leveraging Service Computing and Big Data Analytics for E-CommerceKarthikeyan Umapathy
Panel discussions on Leveraging Service Computing and Big Data Analytics for E-Commerce at the Workshop on e-Business (WeB) 2015 held on December 12, 2015 at Fort Worth, Texas, USA.
Singularity University Live Prediction Markets Simulation & Big Data Quantita...Melanie Swan
Singularity University Live Prediction Markets Workshop & Big Data Quantitative Indicators: Creating the future means being able to understand and operate within multiple areas of rapidly changing technology. We need to know how to harness the many digital tools and indicators at our disposal. Market principles are being deployed on a larger scale in novel ways to rethink traditional institutions and allow unprecedented global-scale collaboration, communication, remuneration, and real-time information flow through prediction markets, cyber-currencies (Bitcoin, etc.), and eLabor marketplaces.
Big Data Analytics and its Application in E-CommerceUyoyo Edosio
Abstract-This era unlike any, is faced with explosive
growth in the size of data generated/captured. Data
growth has undergone a renaissance, influenced
primarily by ever cheaper computing power and
the ubiquity of the internet. This has led to a
paradigm shift in the E-commerce sector; as data is
no longer seen as the byproduct of their business
activities, but as their biggest asset providing: key
insights to the needs of their customers, predicting
trends in customer’s behavior, democratizing of
advertisement to suits consumers varied taste, as
well as providing a performance metric to assess the
effectiveness in meeting customers’ needs.
This paper presents an overview of the unique
features that differentiate big data from traditional
datasets. In addition, the application of big data
analytics in the E-commerce and the various
technologies that make analytics of consumer data
possible is discussed.
Further this paper will present some case studies of
how leading Ecommerce vendors like Amazon.com,
Walmart Inc, and Adidas apply Big Data analytics in
their business strategies/activities to improve their
competitive advantage. Lastly we identify some
challenges these E-commerce vendors face while
implementing big data analytic
Using Ontology to Capture Supply Chain Code HalosCognizant
Manufacturers need to create a lingua franca that extends throughout the supply chain ecosystem, in order to generate insights from the digital data encircling their employees, partners, processes and customers.
Invited talk "Open Data as a driver of Society 5.0: how you and your scientif...Anastasija Nikiforova
This presentation is prepared as a part of my talk on the openness (open data and open science) in the context of Society 5.0 during the International Conference and Expo on Nanotechnology and Nanomaterials. It was very pleasant to receive an invitation to deliver the talk on my recently published article Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough? (Sensors 2021, 21(15), 5204), which I have entitled as “Open Data as a driver of Society 5.0: how you and your scientific outputs can contribute to the development of the Super Smart Society and transformation into Smart Living?“. The paper has been briefly discussed in my previous post, thus, just a few words on this talk and overall experience.
Open Innovation - Winter 2014 - Socrata, Inc.Socrata
As innovators around the world push the open data movement forward, Socrata features their stories, successes, advice, and ideas in our quarterly magazine, “Open Innovation.”
The Winter 2014 issue of Open Innovation is out. This special year-in-review edition contains stories about some of the biggest open data achievements in 2013, as well as expert insights into how open data can grow and where it may go in 2014.
Big data analytics and its impact on internet usersStruggler Ever
Big Data Analytic tools are promising techniques for a future prediction in many aspects of our life. The need for such predictive techniques has been exponentially increasing. even though, there are many challenges and risks are still of concern of researchers and decision makers, the outcome from the use of these techniques will considerable revolutionize our world to a new era of technology.
Sentiment analysis and classification of tweets using rapid miner toolValarmathi Srinivasan
In today’s world, Social networking sites like Twitter, Facebook are the great source of communication for internet users.
So it becomes an important source for understanding the opinions, views or emotions of people.
Here, the sentiment analysis is been performed of twitter data for the purpose of classification on the views, people have shared on Twitter, which is one of the most used social networking sites nowadays.
Using RapidMiner tool, various operations have been performed on the twitter data such as, Collecting tweets, analyzing sentiments, categorizing tweets and visualizing the sentiment polarity such as positive, negative and neutral to provide better view and the data will be stored in SQLSERVER Database for future use.
Dark Data Revelation and its Potential BenefitsPromptCloud
This presentation covers benefits, use cases, practical examples, potential issues and the approach that needs to be taken when it comes to harnessing the power of dark data (a largely untapped strategic play in the big data realm).
Leveraging Service Computing and Big Data Analytics for E-CommerceKarthikeyan Umapathy
Panel discussions on Leveraging Service Computing and Big Data Analytics for E-Commerce at the Workshop on e-Business (WeB) 2015 held on December 12, 2015 at Fort Worth, Texas, USA.
Singularity University Live Prediction Markets Simulation & Big Data Quantita...Melanie Swan
Singularity University Live Prediction Markets Workshop & Big Data Quantitative Indicators: Creating the future means being able to understand and operate within multiple areas of rapidly changing technology. We need to know how to harness the many digital tools and indicators at our disposal. Market principles are being deployed on a larger scale in novel ways to rethink traditional institutions and allow unprecedented global-scale collaboration, communication, remuneration, and real-time information flow through prediction markets, cyber-currencies (Bitcoin, etc.), and eLabor marketplaces.
Big Data Analytics and its Application in E-CommerceUyoyo Edosio
Abstract-This era unlike any, is faced with explosive
growth in the size of data generated/captured. Data
growth has undergone a renaissance, influenced
primarily by ever cheaper computing power and
the ubiquity of the internet. This has led to a
paradigm shift in the E-commerce sector; as data is
no longer seen as the byproduct of their business
activities, but as their biggest asset providing: key
insights to the needs of their customers, predicting
trends in customer’s behavior, democratizing of
advertisement to suits consumers varied taste, as
well as providing a performance metric to assess the
effectiveness in meeting customers’ needs.
This paper presents an overview of the unique
features that differentiate big data from traditional
datasets. In addition, the application of big data
analytics in the E-commerce and the various
technologies that make analytics of consumer data
possible is discussed.
Further this paper will present some case studies of
how leading Ecommerce vendors like Amazon.com,
Walmart Inc, and Adidas apply Big Data analytics in
their business strategies/activities to improve their
competitive advantage. Lastly we identify some
challenges these E-commerce vendors face while
implementing big data analytic
Using Ontology to Capture Supply Chain Code HalosCognizant
Manufacturers need to create a lingua franca that extends throughout the supply chain ecosystem, in order to generate insights from the digital data encircling their employees, partners, processes and customers.
Invited talk "Open Data as a driver of Society 5.0: how you and your scientif...Anastasija Nikiforova
This presentation is prepared as a part of my talk on the openness (open data and open science) in the context of Society 5.0 during the International Conference and Expo on Nanotechnology and Nanomaterials. It was very pleasant to receive an invitation to deliver the talk on my recently published article Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough? (Sensors 2021, 21(15), 5204), which I have entitled as “Open Data as a driver of Society 5.0: how you and your scientific outputs can contribute to the development of the Super Smart Society and transformation into Smart Living?“. The paper has been briefly discussed in my previous post, thus, just a few words on this talk and overall experience.
Open Innovation - Winter 2014 - Socrata, Inc.Socrata
As innovators around the world push the open data movement forward, Socrata features their stories, successes, advice, and ideas in our quarterly magazine, “Open Innovation.”
The Winter 2014 issue of Open Innovation is out. This special year-in-review edition contains stories about some of the biggest open data achievements in 2013, as well as expert insights into how open data can grow and where it may go in 2014.
Big data analytics and its impact on internet usersStruggler Ever
Big Data Analytic tools are promising techniques for a future prediction in many aspects of our life. The need for such predictive techniques has been exponentially increasing. even though, there are many challenges and risks are still of concern of researchers and decision makers, the outcome from the use of these techniques will considerable revolutionize our world to a new era of technology.
Sentiment analysis and classification of tweets using rapid miner toolValarmathi Srinivasan
In today’s world, Social networking sites like Twitter, Facebook are the great source of communication for internet users.
So it becomes an important source for understanding the opinions, views or emotions of people.
Here, the sentiment analysis is been performed of twitter data for the purpose of classification on the views, people have shared on Twitter, which is one of the most used social networking sites nowadays.
Using RapidMiner tool, various operations have been performed on the twitter data such as, Collecting tweets, analyzing sentiments, categorizing tweets and visualizing the sentiment polarity such as positive, negative and neutral to provide better view and the data will be stored in SQLSERVER Database for future use.
Dark Data Revelation and its Potential BenefitsPromptCloud
This presentation covers benefits, use cases, practical examples, potential issues and the approach that needs to be taken when it comes to harnessing the power of dark data (a largely untapped strategic play in the big data realm).
Intelligent Buildings: Foundation for Intelligent Physical AgentsIJERA Editor
FIPA is an IEEE Computer Society standards organization that promotes agent-based technology and the interoperability of its standards with other technologies. In the design phase of Intelligent Buildings, it is essential to manage many services and facilities, to do this, multi-agent systems are a good tool to manage them. In this paper, we will gereneral description of the features and elements of multiagent systems described by Foundation for Intelligent Physical Agents (FIPA). Secondly, we will focus on the architectures of these multiagent systems. And finally, we will propose a multi-agent system design to see the application in the design of a detached house where the lighting, air conditioning and security systems will be integrated.
The Matrix Mapper (MM) - This is a product for which the Aarktech - KBCRF consortium is looking for any of several options to develop the product that would mirror the capabilities of the Analysts' Notebook (AN), an application created by i2, an IBM subsidiary, which cannot be sold anywhere outside the US and Russia and is subject to stringent US Export Control (EC) regulations.
The AN is the most sought after (but not readily available) tool, worldwide, by global businesses as also the crime fighting, counter terrorist, counter insurgency and financial intelligence agencies of numerous countries. It has the capability to integrate mountains of text, video, audio, graphic and image data and to employ Big Data Analytics, Semantics, Social Network Analysis (SNA) and Knowledge Discovery methods to delineate the existence, incidence, pattern and correlation of linkages in order to throw up actionable and predictive results.
The tsunami of data being generated globally threatens to submerge and seriously impair the interests of government agencies as well businesses worldwide unless powerful tools are available to intelligently comprehend diverse data types like alpha-numeric, voice, video and graphic; analyse these tidal waves of data; decipher patterns as well as connections and arrive at inferences and conclusions that provide a firm basis for next steps be they brick and mortar or in cyber space.
Matrix Mapper would serve as the ultimate tool for very large scale, cross platform, data collation, mining, comprehension, analysis, networking/ pattern identification and prediction/ direction determination using knowledge discovery methods. The Matrix Mapper would, thus, prove indispensable to businesses in sectors as diverse as mining, oil & gas, power (generation & distribution), airlines, land and water transport, shipping, chain stores, agriculture/ food distribution, warehousing, courier concerns, accounting, banking and insurance. Government agencies/ departments which would find Matrix Mapper to be a kind of force multiplier include the defence forces, police, forest conservation, counter terrorism units, municipalities, railways and a variety of Public Sector Undertakings.
Useful and Effectiveness of Multi Agent Systemijtsrd
A multi agent system MAS or self cooperating system is a computerized system organized of multiple interacting intelligent agents. The problems that are difficult to solve for an individual agent or a monolithic system can be solved by multi agent system easily. MAS is a loosely coupled of software agents' network that interact to solve problems that are beyond the individual capacities or knowledge of each software agent. Distributed systems with a group of intelligent agents that communicate with other agents to achieve goals are directed by their masters. MAS group aims to develop new theory and computational models of higher order social cognition between people and computer systems by producing their abilities to reason about one another automatically. More specifically, multi agent control systems are fundamental parts of a wide range of safety critical engineering systems, and are commonly found in aerospace, traffic control, chemical process, power generation and distribution, flexible manufacturing, chemical processes, power generation and distribution, flexible manufacturing, robotic system design and self assembly structures. Moe Myint Myint ""Useful and Effectiveness of Multi-Agent System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23036.pdf
Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/23036/useful-and-effectiveness-of-multi-agent-system/moe-myint-myint
Analysis, modelling and protection of online private data.Silvia Puglisi
Do we have online privacy? And what is privacy anyway in an online context?
This work aim at discovering what footprints users leave online and how these represent a threat to privacy.
Software Agents are very useful in coming Software development process. This ppt discuss introduction and use of Agents in Software development process.
• Intelligent objects introduce a new vision for strengthening communication, relationship and business. Each system must be able to communicate with humans and non humans and its capabilities bring scalability, adaptability, flexibility and greater efficiency.
• IoT generates a big growth of complexity and a new method is necessary to correctly design app.
• We have developed on the field the method Here&Now to permit to manage contextual, liquid, intelligent and connected applications. This means designing software with a level of new cognitive artificial intelligence able to deploy applications that have a level of understanding depending on context; it learns from events and have some level of autonomy with respect to routine activities.
This is the first webinar about an IoT design method that we have created during these months.
• Intelligent objects introduce a new vision for strengthening communication, relationship and business. Each system must be able to communicate with humans and non humans and its capabilities bring scalability, adaptability, flexibility and greater efficiency.
• IoT generates a big growth of complexity and a new method is necessary to correctly design app.
• We have developed on the field the method Here&Now to permit to manage contextual, liquid, intelligent and connected applications. This means designing software with a level of new cognitive artificial intelligence able to deploy applications that have a level of understanding depending on context; it learns from events and have some level of autonomy with respect to routine activities.
Identical Users in Different Social Media Provides Uniform Network Structure ...IJMTST Journal
The primary point of this venture is secure the client login and information sharing among the interpersonal organizations like Gmail, Face book and furthermore find unknown client utilizing this systems. On the off chance that the first client not accessible in the systems, but rather their companions or mysterious client knows their login points of interest implies conceivable to abuse their talks. In this venture we need to defeat the mysterious client utilizing the system without unique client information. Unapproved client utilizing the login to talk, share pictures or recordings and so on. This is the issue to be overcome in this venture .That implies client initially enlist their subtle elements with one secured question and reply. Since the unknown client can erase their talk or information. In this by utilizing the secured questions we need to recuperate the unapproved client talk history or imparting subtle elements to their IP address or MAC address. So in this venture they have discovered an approach to keep the mysterious clients abuse the first client login points.
This is the Second webinar about a Megatris Comp ‘s IoT design method Here&Now.
The method has the scope to design contextual, liquid, intelligent and connected applications. This means to design software with a level of new cognitive artificial intelligence able to deploy applications that have a level of understanding depending on context; it learns from events and have some level of autonomy with respect to routine activities.
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.
Building Your Own AI Agent System: A Comprehensive GuideChristopherTHyatt
Building an AI Agent involves creating a computer system that can make decisions, choose tools, and take actions to achieve specific goals autonomously.
Learn how your entire supply chain can be monitored to prevent negative circumstances from catching you off guard such as: 3rd party suppliers being shut down from natural disasters, local legal actions, bad local publicity, and many more.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
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See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
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https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
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See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
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#AIFusionBuddyforBeginners,
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#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
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#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Mobile app Development Services | Drona InfotechDrona Infotech
Drona Infotech is one of the Best Mobile App Development Company In Noida Maintenance and ongoing support. mobile app development Services can help you maintain and support your app after it has been launched. This includes fixing bugs, adding new features, and keeping your app up-to-date with the latest
Visit Us For :
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
2. INTRODUCTION
The impacts of the increasing globalisation on the information
overload encompass the tedious tasks of the user to determine and
keep track of relevant information sources, to efficiently deal with
different levels of abstractions of information modelling at
sources, and to combine partially relevant information from
potentially billions of sources. A special type of intelligent
software agents, so called information agents, is supposed to cope
with these difficulties associated with the information overload of
the user. This implies its ability to semantically broker information
by providing pro-active resource discovery, resolving the
information impedance of information consumers and providers in
the Internet, and offering value-added information services and
products to the user or other agents.
3. WHAT IS AN INTELLIGENT INFORMATION
AGENT?
An intelligent information agent is an autonomous,
computational software entity that has access to one or
more heterogeneous and geographically distributed
information sources, and which is able to pro-actively
acquire, mediate, and maintain relevant information on
behalf of its users or other agents preferably just-in-time.
4. HETEROGENEITY: A MAJOR PROBLEM
Huge amount of heterogeneous information sources are
large volumes of (non-, semi-) structured, volatile
(dangling links, relocated), redundant (mirrored, copied)
data
“Information overload” is big problem to the user to
Searching for relevant information. Like (“needle-in-the-
hay-stack”)
5. CHARACTERISTICS
pro-actively acquires, mediates, and maintains relevant
information on behalf of its user(s) or other agents preferably
just-in-time.
Mediates Maintains
The Intelligent Information Agents architecture is a Java framework for
constructing a hybrid system of Intelligent Information Software Agents.
Initiate, coordinate,
and
control distribution of
information
(incl. query
processing,
brokering,
matchmaking)
Storage, Caching,
Consistency;
Assist users (visualization,
etc.)
adapt to user’s needs;
collaborate with agents on
demand
etc.
6. DEVELOPMENT OF INTELLIGENT
INFORMATION AGENTS
The European AgentLink special interest group on
intelligent information agents (I2A SIG) has been
founded in 1998.
The I2A SIG has been co-ordinated by Matthias Klusch
from the German Research Centre for Artificial
Intelligence (DFKI) since 1998, jointly with Sonia
Bergamaschi from University of Bologna, Italy, since
July 2001.
The mission of the AgentLink I2A SIG is to promote
advanced research on and development of intelligent
information agents across Europe.
7. MAIN FUNCTIONALITIES OF THE
INTELLIGENT INFORMATION AGENTS
The main functionalities of the intelligent information
agents include
intelligent search,
navigation guide,
auto-notification,
personal information management, and
dynamic personalized Web page retrieval.
8. CLASSES OF INFORMATION AGENTS
Non-cooperative or cooperative information agents
Its depending on the ability to cooperate or does not cooperate
with each other for the execution of their tasks. Several
protocols and methods are available for achieving cooperation
among autonomous information agents in different scenarios,
like hierarchical task delegation, contracting, and decentralised
negotiation.
Example: Non-cooperative information agents: Searchbots,
Meta-Searchbots
Cooperative information agents: RETSINA, InfoSleuth,
IMPACT, BIG, PLEIADES, MAVA, TSIMMIS, etc.
9. ADAPTIVE INFORMATION AGENTS
Adaptive information agents are able to adapt themselves
to changes in networks and information environments.
Examples of such agents are learning personal assistants
on the Web.
Example: Adaptive information agents: InfoSpiders,
Butterfly, ExpertFinder, Let’s Browse, Amalthaea,
Firefly, LikeMinds.
10. RATIONAL INFORMATION AGENTS
Rational information agents behave in a utilitarian way
in an economic sense. They act, and may even
collaborate, to increase their own benefits.
The main application domains of such kinds of agents
are automated trading and electronic commerce in the
Internet. Examples include the variety of shop bots, and
systems for agent-mediated auctions on the Web.
Shopbots, Kasbah, Bazaar, FCSI/COALA, FishMarket,
AuctionBot, UMDL
11. MOBILE INFORMATION AGENTS
Mobile information agents are able to travel
autonomously through the Internet.
Such agents enable dynamic load balancing in large-
scale networks, reduction of data transfer among
information servers, and migration of small business
logic within medium-range corporate intranets on
demand.
Example: Mobile information agents: D’Agents/Smart,
MIAOW/InfoSphere.
12. SOME SOFTWARES
o InfoSleuth (Cooperative information agents)
o Infospider (Adaptive information agents )
o Kasbah (Rational information agents )
o Scalable Mobile and Reliable Technology
(SMART) (Mobile information agents )
13. INFOSLEUTH (COOPERATIVE INFORMATION AGENTS)
InfoSleuth is a very powerful agent based software
application that performs information retrieval and fusion,
event detection, data analysis, knowledge discovery and
trend analysis using existing databases or the internet as
data sources.
Information retrieval and fusion: InfoSleuth agents
access and fuse information from a wide variety of types
of information sources, including external machines,
databases, text and image repositories and the World
Wide Web.
14. INFOSLEUTH (COOPERATIVE INFORMATION AGENTS)
Monitoring capabilities: InfoSleuth gives the user, on
request, dynamic focused notification as the world of
data changes. The user only need specify the style of
information to be monitored. InfoSleuth transparently
maps this to event monitoring on the appropriate
resources.
Distributed processing: InfoSleuth processes data where the
data is. It enhances efficiency by distributing the processing
of queries and data manipulations among multiple agents,
each responsible for some subpart of the entire world of
information.
15. INFOSLEUTH (COOPERATIVE INFORMATION AGENTS)
Collaborative Processing: InfoSleuth Agents cooperate
with each other by pooling their resources to answer
complex queries.
Dynamic Architecture: InfoSleuth agents can come and
go, i.e. be initiated, killed or moved, and InfoSleuth
increases (or degrades) gracefully, using whatever
services are available through the currently available set
of agents.
Scalability: InfoSleuth is extensible to a changing
distributed world of information under a paradigm
similar to that allowing growth of the Internet.
16. HOW INFOSLEUTH WORKS?
InfoSleuth is designed as an agent-based, object-oriented
system
The InfoSleuth system consists of agents, clients and tools.
Clients are user interfaces built using a common API
Agents are designed as instances of a set of Java classes
called the generic agent shell
Agents communicate via conversations using a language
called KQML (Knowledge Query and Manipulations
Language)
Tools such as the ontology creation and maintenance tools
are built independently and with no overriding architectural
hierarchy or relationship.
17. INFOSPIDERS
The InfoSpiders system was implemented to test the
feasibility, efficiency, and performance of adaptive, on-
line, browsing Web agents.
InfoSpiders design and implementation:
Algorithm
Agent architecture
Adaptive agent representation
20. INFOSPIDER AGENT ARCHITECTURE
The agent interacts with the information environment, that
consists of the actual networked collection (the Web) plus
data kept on local disks (e.g., relevance feedback data and
cache files).
The user interacts with the environment by accessing data on
the local client (current status of a search) and on the Web
(viewing a document suggested by agents) and by making
relevance assessments that are saved locally on the client and
will be accessed by agents as they subsequently report to the
user/client.
21. INFOSPIDER AGENT ARCHITECTURE
The InfoSpiders prototype is written in C and runs on
UNIX and MacOS platforms
The Web interface is based on the W3C library.
. Agents employ standard information retrieval tools
such as a filter for noise words and a stemmer based on
Porter’s algorithm.
agents store an efficient representation of visited
documents in the shared cache on the client machine
Each document is represented by a list of stemmed
keywords and links (with their relative positions).
22. INFOSPIDER AGENT REPRESENTATION
The adaptive representation of InfoSpiders consists of the
genotype
The first component of an agent’s genotype consists of the
parameter β ∈.
it represents the degree to which an agent trusts the
descriptions that a page contains about its outgoing links.
Each agent’s genotype also contains a list of keywords,
initialized with the query terms
Genotypes also comprise a vector of real-valued weights,
initialized randomly with uniform distribution in a small
interval [−w0, +w0].
23. INFOSPIDER AGENT REPRESENTATION
The keywords represent an agent’s opinion of what terms
best discriminate documents relevant to the user from the
rest.
The weights represent the interactions of such terms with
respect to relevance. The association of an agent’s
keyword vector with its neural net highlights the
significant difference between the representation in this
model and the vector space model.
The neural net has a real-valued input for each keyword
in its genotype and a single output unit.
24. KASBAH (RATIONAL INFORMATION AGENTS )
Kasbah is a Web-based system which allows users to
create autonomous agents which buy and sell goods on
their behalf.
Kasbah is a Website where users go to buy and sell
things. They do this by creating buying and selling
agents, which then interact in the marketplace.
the market place needs to ensure that the agent’s
participating in it speak a common language.
25. KASBAH (RATIONAL INFORMATION AGENTS )
It will direct agents to areas of common interest within the
marketplace. What this means is that when an agent enters,
the market place will ask what it is buying or selling, and
direct it to other agents buying and selling the same kinds of
things.
The other agents in the marketplace are also notified of the
arrival of the new agent.
For example, there might be a tent for cars, a tent for
apartments in Cambridge, a tent for stereo equipment, etc.
The marketplace also determines the terminology spoken,
that is, how goods are described. In Kasbah, this terminology
will be extendible by users.
26. SCALABLE MOBILE AND RELIABLE TECHNOLOGY
(SMART) (MOBILE INFORMATION AGENTS )
27. SCALABLE MOBILE AND RELIABLE TECHNOLOGY
(SMART) (MOBILE INFORMATION AGENTS )
SMART is a four tiered architecture that is built on top of Java
virtual machine.
The lowest layer is the Region Administrator, which is built on
Java virtual machine. It manages a set of agent systems and
enforces security policies on them. The Finder module at this level
ores the region administrators and the layers above it the naming
service.
The next layer is the Agent System layer. This layer acts as the
world of agents allowing them to create, migrate and destroy
themselves in this world.
This layer can have multiple contexts called places where agents
execute. The layer on top of this layer is the agent context layer,
also called the Place.
28. SCALABLE MOBILE AND RELIABLE TECHNOLOGY
(SMART) (MOBILE INFORMATION AGENTS )
The top most layers are the Agent Proxy layer. This layer
constitutes the mobile agent API which can be used by the
applications written in SMART.
The agent proxy communicates with the place server on
which the agent resides currently. The place server is
designed as an RMI server (non-CORBA object)
The place server interacts with the agent system, to which
the agent wants to migrate.
The place server may also communicate with its parent
agent system for certain agent management operations
such as register, locate and unregister.
30. CONCLUSION
The future of information agents in database information
retrieval and in Web search is promising. There is no
getting around the fact that there are simply too many
sources out there for a person sitting at his/her computer
to sift through in search of specific information. It is
much easier to submit a query to an agent and let it find
the information you need. This saves both time and
frustration in following links across the Internet, and it
promises a bright future for intelligent search agents.