How To Use WhatsApp As A Search Engine And Wikipedia By Activating WhatsApp Bot

How To Use WhatsApp As A Search Engine And Wikipedia By Activating WhatsApp Bot

whatsapp bot search engine wiki internetShort Bytes: In this article, I’m going to tell you how to use WhatsApp as a search engine by activating a WhatsApp bot. WhatsApp is one the most popular instant messaging apps and this feature could be used to get important information in the form of Wikipedia excerpts, news, dictionary etc. It should be noted the team that developed this bot is not associated with official WhatsApp in any manner.

Facebook-owned WhatsApp instant messaging application is being used by millions of people to stay in touch and use it as multimedia and group messaging platform. From time-to-time, we come across multiple WhatsApp tricks that promise to bring additional functionalities to this popular app. Today, we are going to tell you about a WhatsApp bot created to bring search engine-like feature to WhatsApp.

This WhatsApp search engine bot is created by and it allows you to access some internet features right on your WhatsApp messaging app. This virtual assistant-like feature works by automatically replying to your queries.

With the help of this bot, you can get live news updates, information on any topic from Wikipedia, read random quotes, get train information, enjoy some funny jokes and more. Note that this bot only works for Indian numbers.

How to activate WhatsApp Search Engine Bot On your phone?

Getting the services of WhatsApp Bot by Duta is very easy. Follow the steps below and enjoy the basic services right now:

  1. To start the bot, you need to create a contact with any name of your choice (here it’s WhatsApp Bot) and add this number: +91-7401004510
  2. Now launch your WhatsApp mobile app and create a group (here it’s WhatsApp Bot). Add the WhatsApp Bot contact to this group.
  3. You are now ready to you. You can add more friends and family members to the group, or enjoy the WhatsApp search bot on your own.

whatsapp bot duta wiki

Codes to use Wikipedia, Dictionary, News service etc. with WhatsApp Bot:

  1. To get Wikipedia information, type Wiki SEARCHTERM and send to the group.
  2. To join the English news channel, send +NEWS to the group (unsubscribe anytime by sending -NEWS )
  3. Know the meaning of a word by sending +DICT WORD to the group.
  4. Join Football or Cricket channel by sending +CRICKET or +FOOTBALL to the group.
  5. To play a GK quiz, simply send +GK to the group.

For more codes and information, visit

Note: This WhatsApp bot is not associated with WhatsApp in any manner. Such types of WhatsApp bots are very common on the internet and many of those are simply made for spamming purposes. However, I found this WhatsApp search bot free from such flaws. Still, I’ll advise you to use this feature with caution and share your experiences in the comments below.

Did you find this WhatsApp Bot helpful? Tell us your views in the comments below.

Also Read: How to Keep Your WhatsApp Data Safe With Google Drive and Encryption

The post How To Use WhatsApp As A Search Engine And Wikipedia By Activating WhatsApp Bot appeared first on fossBytes.



Semantic Search Engine Omnity Claims That It Can Beat Google And Buy It

Semantic Search Engine Omnity Claims That It Can Beat Google And Buy It

omnity google killer search engineShort Bytes: Omnity is a new semantic search engine that focuses on searching the hidden and high-value interconnections between different fields of knowledge. While Omnity founder refuses to call his company a competitor of Google, he thinks it could buy Google.

Anew search engine is in town and it’s dreaming of buying Google, thanks to its confidence in its technology. Omnity has been in stealth mode for the past four years and it decided to come out in the open at CES 2016.

Just a couple of days ago, Omnity was announced as a “next-generation semantic search and discovery tool”. The company calls itself a fundamental advancement in discovering technology and enabling the people to discover hidden interconnection between fields like finance, law, science, engineering, and medicine.

How Omnity performs a search operation?

Omnity release post explains that the search engine allows a user to use the complete document as a search query and discover the connected documents based on the content inside the document. This way, it finds related documents even if they are not directly related to each other via links.

This search query drops the arbitrary keywords like “the,” “he,” “she,” or “it” and looks for interconnections on a massive scale efficiently. After this, Omnity is able to process the remaining “rare words” to perform the search.

“The Omnity product highlights several unusual features. For example, a single person reading and pair-wise interconnecting a 100,000 documents would take nearly 10,000 years. Omnity can perform this function in a fraction of a second, which represents a trillion-fold acceleration,” said Brain Sager, Omnity co-founder.

Sager wants to upend the basic idea of search just like Google performed the search in 1998 while looking for academic articles.

What about Omnity vs Google?

“We don’t view ourselves as being complementary and not competitive with Google,” said Sager. When asked by Motherboard if this meant Omnity was looking to be acquired by Google, he mentioned something very surprising.

I use Google every day and it’s great, but no, we’re more likely to buy Google.

Read more about Omnity in their press release.

Add your views about Omnity in the comments below.

For more technology updates and interesting stories, follow fossBytes.
!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?’http’:’https’;if(!d.getElementById(id)){js=d.createElement(s);;js.src=p+’://’;fjs.parentNode.insertBefore(js,fjs);}}(document, ‘script’, ‘twitter-wjs’);

The post Semantic Search Engine Omnity Claims That It Can Beat Google And Buy It appeared first on fossBytes.


Google Is Powering A New Search Engine That Digs Internet’s Dirty Secrets

Google Is Powering A New Search Engine That Digs Internet’s Dirty Secrets

censys-search-engine-googleShort Bytes: Ever heard of Shodan and ‘appreciated’ its capabilities? Here, you are going to read about another similar, but a smarter hacker’s search engine. This search engine is called Censys and powered by Google’s infrastructure. Read more to know how it works and its strengths.

If you consider the usability and security factors, the humble routers and modems installed in your homes and offices are one of most important devices. However, time and again, the manufacturers have taken the security issue for granted.

According to the latest research by the Austrian company SEC Consult, more than 3 million modems and routers are vulnerable to online threats. This was uncovered with the help of a new search engine Censys, that is aimed to help the security researchers find such screwups.

Notably, world’s biggest search engine Google is providing its infrastructure to power Censys. This search engine is free to use and part of an open source project. “We’re trying to maintain a complete database of everything on the Internet,” says Zakir Durumeric, the University of Michigan researcher who is leading the project.

This search engine helped in unmasking the recent flaw reported in Dell computers and more.

Get best deals on gadgets and software at fossBytes store.

How Censys works?

Durumeric, along with other scholars, developed a software called ZMap which is used to collect search data and power the search engine. ZMap scans more than 4 billion IP addresses and collects new data every day. Depending upon the received data, Censys knows the encryption method (read “security flaw”) used by the devices beaming internet all around your home.

On its website, Censys writes: “Driven by Internet-wide scanning, Censys lets researchers find specific hosts and create aggregate reports on how devices, websites, and certificates are configured and deployed.”

About Google’s competition, Censys says that it’s “extremely grateful to Google, who graciously provides much of the infrastructure that powers Censys.”

The major competitor of Censys is “hacker’s search engine Shodan“. While Shodan employs a similar method, but a different and less advanced software. In their first impression, these “creepy” search engines might sound scary, but they are here to find the flaws in our devices and make the internet a safer place.

Add your views in the comments below.

With inputs from MIT Technology Review.

Download our Google chrome, Mozilla firefox and Opera extension to get instant updates –
fossbytes google chrome extension fossbytes firefox extension fossbytes opera extension fossbytes google chrome app

The post Google Is Powering A New Search Engine That Digs Internet’s Dirty Secrets appeared first on fossBytes.


How Search Engine Works and Makes Your Life Easier?

How Search Engine Works and Makes Your Life Easier?

how-search-engine-worksShort Bytes: Search Engine is a software that allows the display of relevant webpage results based on the search query input by the use of Web Crawling and Web Indexing, some fat formulae and intelligent algorithms in order to gather the appropriate data.

A few thousand searches were made in the time this webpage got loaded on your computer. But, does this ever stimulated your neurons, how a search engine works?

How Google serves you the best results at a blink of an eye? Actually, it doesn’t matter until Google, Bing are there. The scenario would’ve been very different if there was no Google, Bing, or Yahoo. Let us dive into the world of search engines and see, how a search engine works.

Peeping into the history

The search engine fairy tale began in 1990s when Tim Berners-Lee used to enlist every new webserver which went online, to the list maintained by the CERN webserver. Until September, 93, no search engines existed on the internet but only a few tools which were capable of maintaining a database of file names. Archie, Veronica, Jughead were the very first entrants in this category.

Oscar Nierstrasz from the University of Geneva is accredited for the very first search engine that came into existence, named W3Catalog. He did some serious Perl scripting and finally came out with the world’s first search engine on September 3, 1993. Furthermore, the year 1993 saw the advent of many other search engines. JumpStation by Jonathon Fletcher, AliWeb, WWW Worm, etc. Yahoo! was launched in 1995 as web-directory, but it started using Inktomi’s engine search from 2000 and then shifted to Microsoft’s Bing in 2009.

Now, talking about the name which is the prime synonym for the term search engine, Google Search, was a research project for two Stanford graduates, Larry Page and Sergy Brin, having its initial foot prints in March, 1995. Google’s working was initially inspired by Page’s back-linking method which did calculations based on how many backlinks originated from a webpage, so as to measure the importance of that page in the World Wide Web. “The best advice I ever got”, Page said, while he recalled, how his supervisor Terry Winograd supported his idea. And since then, Google never looked back.

It all begins with a crawl

A baby search engine in its nascent stage begins exploring the World Wide Web, with its small hands and knees it explores every other link it finds on a webpage and stores them in its database.

Now, let’s focus on some behind the scene technical thoughts, a search engine incorporates a Web Crawler software which is basically an internet bot assigned the task to open all the hyperlinks present on a webpage and create a database of text and metadata from all the links. It begins with an initial set of links to visit, called Seeds. As soon as it proceeds with visiting those links, adds new links in the existing list of URLs to visit, known as Crawl Frontier.

As the Crawler traverses through the links, it downloads the information from those web pages to be viewed later in the form of snapshots, as downloading the whole webpage would require a whole lot of data, and it comes at a pocket burning price, atleast in countries like India. And I can bet, if Google was founded in India, all their money would be used to pay the internet bills. Hopefully, that’s not a topic of concern as of now.

The Web crawler explores the web pages based on some policies:

Selection Policy: Crawler decides which pages it should download and which it shouldn’t. The selection policy focuses on downloading the most relevant content of a web page rather than some unimportant data.

Re-Visit Policy: Crawler schedules the time when it should re-open the web pages and edit the changes in its database, thanks to the dynamic nature of the internet which makes it very hard for the Crawlers to remain updated with the latest versions of the webpages.

Parallelization Policy: Crawlers use multiple processes at once to explore the links known as Distributed Crawling, but sometimes there are chances that different processes may download the same web page, so the crawler maintains a co-ordination between all the processes to eliminate any chances of duplicity.

Politeness Policy: When a crawler traverses a website, it simultaneously downloads web pages from it, thus increasing the load on webserver hosting the website. Hence, a term “Crawl-Delay” is implemented in which the crawler has to wait for a few seconds after it downloads some data from a webserver, and is governed by the Politeness Policy.

High-level Architecture of a standard Web Crawler:


The above illustration depicts how a web crawler works. It open the initial list of links and then links inside those links and so on.

Wikipedia writes, computer science researchers Vladislav Shkapenyuk and Torsten Suel noted that:

While it is fairly easy to build a slow crawler that downloads a few pages per second for a short period of time, building a high-performance system that can download hundreds of millions of pages over several weeks presents a number of challenges in system design, I/O and network efficiency, and robustness and manageability.

Also read: How to Build a Basic Web Crawler in Python

Indexing the crawls

After the baby search engine crawls all over the internet, it creates an Index of all the webpages it finds in its way. Having an index is way better than wasting time finding the search query from a heap of large sized documents, it’ll save both time and resources.

There are many factors which contribute to creating an efficient indexing system for a search engine. Storage techniques used by the indexers, size of the index, the ability to quickly find the documents containing the searched keywords, etc. are the factors responsible for efficiency and reliability of an index.

One of the major obstacles in the path to making successful web indices is the collision between two processes. Say one process wants to search a document and at the same time another process wants to add a document in the index, kind of creates conflict between the two processes. The problem is more worsened by the implementation of distributed computing by the search engines in order to handle more data.

Types of Index

Forward: In these type of indices, all the keywords present in a document are stored in a list. The forward index is easy to create in the starting phase of indexing as it enables asynchronous indexers to collaborate with each other.

search engine index

Reverse: The forward indices are sorted and converted to reverse indices, in which each document containing a specific keyword is put together with other documents containing that keyword. Reverse indices ease up the process of finding relevant documents for a given search query, which is not the case with forward indices.

search engine index

Parsing of Documents

Also called Tokenization, refers to the breakdown of components of a document such as keywords (called tokens), images and other media, so that they can be inserted in indices later on. The method basically focuses on understanding the native language and predicting the keywords that a user might search for, which serve as the foundation for creating an effective web indexing system.

Major Challenges include finding the word boundaries of keywords to be extracted, as we can see languages like Chinese and Japanese don’t generally have whitespaces in their language scripts. Understanding the ambiguity possessed by a language is also a point of concern, as some languages start to differ slightly or even considerably with geographical changes. Also, the inefficiency of some webpages to not clearly mentioning the language used is also a matter of concern and increases the workload on the indexers.

Search engines have the ability to recognize various file formats and successfully extract data from them, and it is necessary that utmost care should be taken in these cases.

Meta Tags are also very useful in creating the indices very quickly, they reduce web indexer’s efforts and eases the need to completely parse the whole document. You’ll find Meta Tags attached at the bottom of this article.

Also read: Here’s Why Google Showed Narendra Modi’s Picture As First Indian PM

Searching the index

Now, the baby search engine is not a baby anymore, he has learnt, how to crawl and how to grab things quickly and efficiently, and how to arrange his things systematically. Suppose, his friend asks him to find something from his arrangement, what will he do? There are four types of search queries in use, though they are not formally derived, but they have evolved over time, and have been found to sense valid in terms of real life queries made by users.

Navigational: This term is used for those queries in which the user wants to go to a specific webpage or website existing on the internet. For example, when you search fossBytes on Google, then you’re initiating a Navigational Query.

Informational: This type of queries have thousands of results and cover general topics which enhance the knowledge of the user. For example, when you search for, say Steve Jobs, you’ll be presented with all the links relevant to Steve Jobs.

Transactional: Queries focusing on user’s intent to perform a particular action, may involve a pre-defined set of instructions. For example, How to find your Lost/Stolen Laptop?

Connectivity: These type of queries are not frequently used, they focus on how connected is the index created from a website. For example, if you search, How many pages are there on Wikipedia?

Google and Bing have created some serious algorithms which are capable enough to determine the most relevant results for your query. Google claims to calculate your search results based on over 200 factors like quality of the content, new or old, safety of the webpage, and many more. They have the world’s greatest minds appointed at their Search labs, who do hard calculations and deal with mind-blowing formulae, only to make the Search more simple and quick for you.

Other notable features*

Image Search: You’ll be surprised to know Google’s inspiration behind their famous image search tool. J.Lo, yeah you heard that right, J.Lo and her green Versace(ver-sah-chay) gown at the Grammy Awards, 2000, were the real reason Google came out with its image search, as people were busy Googling about her.

At the time, it was the most popular search query we had ever seen. But we had no surefire way of getting users exactly what they wanted: J­.Lo wearing that dress. Google Image Search was born.

Said Eric Schmidt in his writing titled,” The Tinkerer’s Apprentice”, published on January 19, 2015.

Voice Search: Google was first to introduce voice search on its search engine after a lot of hard work and subsequently other search engines have also implemented it.

Spam Fighting: Search engines deploy some serious algorithms, so that they can guard you from spam attacks. A spam is basically a message or a file that is spread all over the internet, maybe for advertisement or for transmitting viruses. In this matter also, Google guys manually inform the website they find is responsible for spreading spam messages on the internet.

Location Optimization: The search engines are now capable of displaying results based on the location of the user. If search, What’s the weather like in Bengaluru, then the weather stats will be in reference with Bengaluru.

Understands you better: Modern search engines are capable of understanding the meaning of the user query rather than finding the keywords entered by the user.

Auto-complete: The ability to predict your search query as you type based on your previous searches and searches made by other users.

Knowledge Graph: This feature, provided by Google Search, shows off its ability to provide search results based on real life people, places, and events.

Parental Control: Search engines allow parents of small kinds to control what their child has been up to on the internet.

* It is hard to cover the vast list of features provided by these mighty search engines.

Winding Up

Search engines have contributed to make our lives simpler and the hard work they’ve been doing to harness all the information on the internet is priceless. But this exploration has led to the exhibition of our personal space on a public platform, and I must say, it is high time we should fluster about the path we have been traversing all this long, unless it’s too late for us to retrospect our actions and our life only be a biennale of embarrassments. We can’t deny the fact that search engines are now a vital part of our digital split personality. We only need to make use of the technology we’ve been given, not allow it to enslave us in the chains of our own misdeeds.

Okay, no more emotional talks, just adore the cuteness and talents of that baby search engine who has now become a teenager, and understands you much better. Google has been there to search everything for us, it is the internet for many of us, and we must cherish those good experiences we’ve earned while using Google Search. Oh! I forgot to mention Bing, you’re awesome too. Stay alert, stay safe and Google it.

Also read: Facebook Bringing Its Own Internal Search Engine for Mobile App

Watch this video and know more about search engines:

Read Further: How Does Google Track Live Traffic?

Have you ever clicked the I’m feeling Lucky button on Google Search. Open it and tell us which doodle you liked the best in the comments section below.

For more updates and interesting stories, subscribe to fossBytes newsletter.

(function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:8011048867343975,size:[0, 0],id:”ld-8768-4244″});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src=”//”;;p.parentNode.insertBefore(j,p);}})(window,document,”script”,”ld-ajs”);

The post How Search Engine Works and Makes Your Life Easier? appeared first on fossBytes.


Secrets of the pyramids: Researchers will use muon tomography to search for hidden chambers, construction methods

Secrets of the pyramids: Researchers will use muon tomography to search for hidden chambers, construction methods

All Giza Pyramids
Egyptologists have announced plans to use next-generation muon tomography to scan the inside of a number of Egyptian pyramids. Hopefully this will settle questions on how the pyramids were constructed, once and for all.

ExtremeTech » News & Updates For Hardcore Tech Fans | ExtremeTech

NYPD caught using X-ray vans to search the public, refuses court order to release details

NYPD caught using X-ray vans to search the public, refuses court order to release details

The NYPD is fighting to avoid disclosing how it operates its fleet of X-ray vans, but both court decisions and previous law requires that citizens have access to such information.

ExtremeTech » News & Updates For Hardcore Tech Fans | ExtremeTech

Lunar IceCube will search for a spot to build on the Moon

Lunar IceCube will search for a spot to build on the Moon

lunar icecube head
Water is life — and not just for alien microbes. Searching the moon for frozen water could help NASA find the site for a future lunar settlement, and launch pad.

ExtremeTech » News & Updates For Hardcore Tech Fans | ExtremeTech