We now are in a time of information explosion and the digital revolution that modified a lot on the planet has seen in recent years major changes therefore of rapid technological developments in various aspects of life, where they truly became dependent on it and knowledge. Because modern tools has become a partner at work, where they moved into in all places of work in developed countries. Today we have to take us from this complex simple fact into truth more adaptable Where we must take advantage of smart technology and computers and used to facilitate the examination and interpretation of natural terms automatically must be a computer program is able to find the syntactical structure of the sentence or traffic monitoring semantic so this means of text, it might be impossible to do each one of these tasks machine.
There a great relationship between the content analysis, man-made intelligence, where functions content examination of artificial intelligence in many domains, including sociology, psychology, marketing and multimedia where the result content evaluation at the point of linking the concepts and what kind of relations with each other, artificial intellect is the research of respect simulated intelligence started out in the fifties the last century
has been worried by the other sciences became of unnatural cleverness now many applications, where he became artificial intelligence exists around us in a whole lot of places
“content analysis is a study technique for the objective, organized, and quantitative description of the manifest content of communication, Berelson (1952) “.
“says that it’s any way of making inferences by systematically and objectively identifying given characteristics of text messages, Holsti (1968)”.
“Artificial intelligence can be involved with the attempt to develop intricate computer programs that’ll be capable of executing difficult cognitive duties, (Eysenck, . (1990)”.
“The art of fabricating machines that perform functions that want intelligence when performed by people, (Kurtweil, 1990) “.
Content examination of the partnership words along and put synonyms and the relationship of the word in the written text and other activities on the research of the content plays an important role in the development of the knowledge of artificial intellect
There are numerous similarities between your natural language control and content research. Where that content evaluation predicated on disassembly and deduction. That is mean it dismantles the text to see the single-frequency in the text or article, Then extrapolates the relationship between every other word. On the other hand, we find that the natural dialect processing is determined by :
First: morphological analysis: considering studying grammatical relationships between words and phrases and also considering knowing pronouns that is corresponding words and phrases together and all grammatical information generally speaking.
Second: grammar research: enthusiastic about learning about human relationships between words between one another also cares about and composition of the sentence. and predicated on morphological stage.
Third: semantic research: the part that is interesting in understand this is of the sentence by matching rational information and it is determined by both the morphological and grammatical stage.
We realize that the natural terminology control has several levels first is programmed reading of text messages and speech acceptance, which is morphological analysis and know what type of words and the relationship between the pronouns between one another and accurate knowledge of it because often we find two phrases completely alike in the form of writing, but the meaning of both is quite different. Example: “we provided monkeys banana because she was starving, ” and ” we offered monkeys banana because it was ripe “, Grammatical configuration is similar, but the pronoun in the first word back to monkeys, and in the next back again to banana. Understand correctly sentence is not possible without understanding of the properties of monkeys and patterns of bananas.
The third phase is to create text or speech and can automatically make speech in a number of was, like the previous technology of speech taking, which is characterized by a limited quantity of recorded vocabulary, which way has art work technical mother nature only; This means that they don’t have any romantic relationship with the terminology. also the former can generate talk examination, where it is in this way coded list of vocabulary required pronunciation audio tracks signal pressure. But in a way to generate conversation by the guidelines, demonstrating areas of language to generate continuous speech without being restricted to a restricted variety of vocabulary. Another stage is the automatic translation of the written text a similar way to generate texts where written words are changed into machine rules understand.
Libraries in traditional form was the key way to obtain information whenever a whole lot of the beneficiaries, and with the introduction of modern technology, which includes become ubiquitous and the introduction of what is known as a network Web (WWW) INTERNET thus the libraries convert their holdings to digital format to become available on the net, to good classification and collection of such massive amounts of information and an incredible number of internet pages that on the web and that occur daily need to manufactured intelligence means we need to machine a good play these functions to give beneficiaries in manner warehouse and organizer. Increased information on the net has compelled designers to develop wise systems for high reliable in exploration.
The beginning the various search engines is a computer software that really helps to find documents stored on the net and retrieval has been built so that it is building indexes of documents form the foundation of the data helps in finding the mandatory data.
the most popular search engines Google, Yahoo!, AltaVista
There is the likelihood of developing new tools for se’s to search for information predicated on artificial cleverness. Where artificial cleverness systems have characteristics nearer to natural terms understanding. brains systems know the things Because it do words and Concepts evaluation, and thus it offers greater capabilities of current search engines.
Search motors regular start to see the web is a block of words jammed in an incredible number of pages, Se’s google discriminate successfully of linkage between words,
the marriage of the written text word, its closeness word from word by customer searches
by successful linkage between words .
For example, when you search in the Yahoo search engine for a term and there is wrong grammatical or linguistic Thus Yahoo gives phrase says Do you indicate this, of course, the search engines don’t understand the term, but designed to compare what with the other person and their Keyword Match or conformity.
example when you search for “catalogs about women, ” it may looking for expression books and the word woman without searching for the term “about” thus results show method of the search end result for books women.
search engines seeking to link between words and put the conclusions and determine the partnership between words to find her external webpages that abound where these words and for that reason usually appear near the top of the search results list. . and this engine unit can think and future task for intelligent engine unit Which he relies in his focus on the link between the important parts of the information in the several web pages and spaced web pages on the web to get and find intended effect.
If we seek to Smarter Information handling, (Se’s with artificial cleverness techniques), (Smart machines on the net):
Is the engine that understands what’s recommended by the user
So that machines can know what is meant by individual and utilize the technology and the potential of unnatural intelligence to assist in and boost the efficiency of search and information retrieval.
the field of communications technology, artificial cleverness and computer have significant capabilities in finalizing digital content resources on the Internet from the examination and formulation of synonyms and other update services
There intelligent engine unit was developed taking a look at images for example web browser shows the image and shows similar things, as well as the stores that you can Buy them, etc. All this needs examination and cleverness together
There is also Google Squarad is engine unit enjoy artificial cleverness in that it does not display webpages only, but looking for the reality that it locates on the Internet and categorizes them. Its aim is to meet the needs of beneficiaries and gain access to directly to the data they need.
Web inventor is Tim Berners-Lee, It has the aim is to make machines know very well what means the items of the net webpage. Therefore can for future programs that serve us since it gives the smart results recognized by artificial intelligence.
we need in the Semantic Web for Ontology: it is just a representation of the principles in a specific area and their relationship to both of these dialects, and other languages are built collectively. Ontology use the RDF or OWL language
Semantic Web offers a logical final result of such thinking humans. Where we can ask the continuing future of search engines that are buying a particular concept and bring internet pages does not speak about notion, but it’s a good engines know that talking about this concept wanted by an individual.
“Seeks artificial cleverness in providing machinery and se’s are able to simulate human cleverness, the artificial intelligence systems to come for all of us to looking for everything and perhaps to find you”.
Are programs man-made intelligence that mimic real human performance and action. It was built to storing The data and experience in a specific field. Is is designed to transfer human intelligence to personal computers through the design of software and computing that mimic human being behavior, thinking and Find appropriate answers to Problems and ability the system to be Refined that Problems in correct ways or the cheapest possible problems.
Expert system includes three main parts :
Knowledge basic (Contains information and understanding of Particular field),
inference engine unit ( system for Variety and select appropriate knowledge bases and prepared the knowledge and management )and INTERFACE ( Preparation of appropriate tools for conversation between the user and the data ).
Using of expert systems in indexing processes it is indexing descriptive or indexing objective a particular topic by which rules are arranged access details and lists of subject matter headings and therefore the use of indexes to service the search and retrieval process. The expert systems have been added to the development Create MARC record 6 and to apply some of the guidelines in AACR2 for cataloging
Using Expert Systems to evaluation of Full texts or in the form of texts and multimedia (voice, image, animated movies. . . ect) and in accordance with specific criteria. He is allows an individual to type in appropriate words to him in something where the noticeable meaning of what that you have got the same interpretation or has the relationship between him. This system for the management of electronic digital texts as well as linking information easier with the knowledge bottom and which lead to the introduction of the capability to search and retrieval in a specific subject or particular field. As well as the systems in a position to classification the text into predefined categories predicated on their content and Availability this content in electronic form then retrieval the written text by text message retrieval systems and when user searching for this content and discover. The systems describes his works a successful word classifier.
Through this research conclude that unnatural intelligence is the knowledge of helped solve a lot of problems which require high exactness and response speed and has been able to simulate the machine and It includes many of the functions such ( reasonable thinking, planning and cognition, as well as the ability to make decisions and change things)and the ability to store and manage with the great levels of information
This has helped manufactured cleverness in analyze the content either using expert systems, which is one of the programs of artificial intellect and capacity to learn and experience in a number of areas including field of evaluation, whether analyzing texts or analyzing mass media, classification and information retrieval. Easy operation describe the info and analyzed in exact manner to be easy retrieval. Or natural terms control that morphological research and linguistic research of the sentences to reach on a clear meaning. Generally artificial brains helped in facilitate and develop many things, including reported above and the development of several areas such(Computer Research, medicine and other ). but is definitely the areas of artificial intelligence is limited compared to real human activity.