Tagging

Tagging is a user - generated way to organise a blog. This is a type of meta-data that uses key words instead of sentences to store data/information. This question around tagging is its reliability. Like many user-generated information they can be used in any way for whatever purpose the user wants. Due to think the information that the user has used to name a tag (holiday) may be misleading by having a tag that has no relation to the word holiday.

Search engines work by 'spiders' (software programmes) looking all over the web to find particular key words that the user has put in. The search engine then gives a list of links that best relate to the input information, the list is often organised by the most popular link being at the top and making its way down.
The search engine looks for key words that are stored in the meta-data (source page of the website). By picking up on the same words that are put in the search engine or closely relate to it, allows the user to see it.

Tagging is therefore similar to meta-data as they have data that is stored and in some cases categorised so that they will be easy to locate, whether that is through the users or through search engines.
Tagging is also like folksonomies as they both help organise information and make it easy to label as it is just one key word, it also means that if you have a picture on a networking site or just want to give any information a name so that you can go over it later, it can become very handy.

The difference between meta-data, tagging and folksonomies however is evident in their reliability. Meta-data is stored in web pages so that the information that is searched in a search engine can be found straight away. Tagging and folksonomies however is user generated, meaning any information or label given is dependent on the user that gave the label. If the user were to give a label of pizza to a picture of a car, if you were to go back and look for that photo, you would not be able to find it, which can mislead others.

Although tagging is incredibly unreliable, if it is used correctly it can be less time consuming and easier for others to find files that they are looking for without having great detail about it. As time passes are more users are using tags to label information, it is possible that this will become the primary way of looking for information rather than looking in libraries. By doing it online it is quicker and less effort. Search engine sites such as Google and Yahoo are now Internet giants as they are able to find any information through the web in seconds as they focus on getting the most important data users are most looking for. From this we can see that everything (on the web) is categorised.


folksonomies
folksonomy 2

Hard AI vs Soft AI

AI (Artificial Intelligence) is “the study and design of intelligent agents, where an intelligent agent is a system that perceives its environment and takes action, which maximises its chance of success” (Wikipedia).

Throughout the web, there are AI systems that are able to mimic human responses, leading the recipient to believe that there are talking to someone else (i.e. through social-networking sites) when they are actually communicating with computing intelligence. This is in fact known as “hard AI”, this creates machines that are made to think like us in order to understand how the human brain works, in a result whenever we communicate with AI we tend to think we care talking with another human being. Many sites however use security checks (CAPTCHA) when making a social-networking site or new e-mail account (such as Facebook and Hotmail) so that these AI cannot make fake accounts, as they cannot see the text but just hidden code.

‘Eliza’ is a computer program that tries to communicate in human form. Due to it being very basic programming, Eliza is extremely limited in terms of responses, only picks up on a few key words and doesn’t give a straight answer but tends to answer a question with a question.

Another similar type of AI programming is ‘A.L.I.C.E’, which is far more developed in terms of thought structure and explaining questions with impressive detail. It is far more human like as it uses ‘smiley faces’ which would leave us to believe that it was another human as smiley faces represents emotions.

Eliza first appeared in the 1960’s and A.L.I.C.E was connected to the net in 1995. The advancements it took from the basic program of Eliza has been impressive as A.L.I.C.E was created 35 years later. This shows that technology and AI advancements are on the rise. The question that arises would be if they are able to create an AI that is superior to its creator meaning it will become human like in every way such as showing emotion or having conversations with humans beyond the intellectual level but on something that will differ a robot from a human or if there is a limit on how human like they can make a robot.

I think that robots will always be robots, as they can only read texts that are put in, they are unable to get around the (CAPCHA) security and therefore unable to read text that humans can read, therefore limiting them. Although they can gives responds that are human like, they cannot give genuine opinions that they have thought of as they only come from the person that created them. Then again in another 35 years this may all be possible.


A.L.I.C.E
Eliza
AI deffinition