Each of us has been confronted by the problem of searching for information again. Irregardless of the data source i am using (Internet, file system on our disk drive, data base or a global information system of any big company) the problems is usually multiple and include the physical variety of the data base searched, the facts being unstructured, different file types as well as complexity of accurately wording the seek query.
We have already reached the stage when the volume of data on one single PC is comparable to the amount of text data stored within a proper library. And as to this unstructured data flows, in future there’re only going to increase, and for a very rapid tempo. If for the normal user this might be just a minor misfortune, for a big company absence of control over information can mean major problems. So the necessity to create seek systems and technologies simplifying and accelerating having access to the necessary information, originated long before. Such systems are numerous and moreover not each of them is based on a one of a kind technology. And the task of selecting the right one depends directly on the specific tasks to be solved sometime soon. While the demand for the great data searching and processing tools is usually steadily growing let’s consider the state of affairs with the supply side.
Not going deeply into your various peculiarities of the technology, each of the searching programs and systems can possibly be divided into three groups. These usually are: global Internet systems, turnkey business solutions (corporate facts searching and processing technologies) and simple phrasal or file look up a local computer. Different directions presumptively mean different solutions.
Everything is clear about look up a local PC. It’s not remarkable for virtually every particular functionality features accept for the options of file type (media, word etc. )#) and the search getaway. Just enter the name of the searched file (or component of text, for example in the Word format) that is it. The speed and result depend fully within the text entered into the query brand. There is zero intellectuality in that: simply looking through the available records to define their relevance. This was in its sense explicable: what’s the by using creating a sophisticated system for like uncomplicated needs.
Global search technologies
Matters stand totally different with the search systems operating from the global network. One can’t rely simply on looking throughout the available data. Huge volume (Yandex for case can boast the indexing capacity of more than 11 terabyte of data) on the global chaos of unstructured information will always make the simple search not only ineffective but long and labor-consuming. That’s why as of late the focus has shifted towards optimizing in addition to improving quality characteristics of search. Even so the scheme is still very simple (except the secret innovations of every different system) – the phrasal search through the indexed data base with right consideration for morphology and synonyms. Certainly, such an approach works but doesn’t solve the condition completely. Reading dozens of various articles dedicated to improving search through Google or Yandex, one can drive at the end that without knowing the hidden opportunities these systems finding a relevant document because of the query is a matter of more than a minute, and sometimes more than a couple of hours. The problem is that such a realization of search can be quite dependent on the query word or maybe phrase, entered by the user. A lot more indistinct the query the worse would be the search. This has become an axiom, or dogma, whichever you prefer.
Certainly, intelligently using the key functions on the search systems and properly defining the phrase with which the documents and sites are looked for, it is possible to get tolerable results. But this would be a result of painstaking mental work and time misused on looking through irrelevant information that has a hope to at least find some clues on how to upgrade the search query. On the whole, the scheme is the following: enter in the phrase, look through several effects, making sure that the query was not the best one, enter a new phrase and this stages are repeated till the relevancy of results achieves the highest possible level. But even in that case the chances to search for the right document are still few. No average user will voluntary buy the sophistication of “advanced search” (although it gives you a number of very useful functions such as choice of language, file format for example. )#). The best would be to simply insert your message or phrase and get a completely ready answer, without particular concern for the methods of getting it. Let the horse think – it offers a big head. Maybe this is not exactly until, but one of the Google search functions is referred to as “I am feeling lucky! ” characterizes wonderfully the existent searching technologies. Nevertheless, this technology works, not ideally and not absolutely justifying the hopes, but if you support the complexity of searching through this chaos of Internet data volume, it would be acceptable.
The third on the list are the turnkey solutions while using searching technologies. They are meant intended for serious companies and corporations, possessing really large data bases and staffed with a lot of information systems and documents. In process, the technologies themselves can also double for home needs. For example, a programmer working remotely on the office will make good use on the search to access randomly located on his disk drive program source codes. But these usually are particulars. The main application of the technology is solving the problem of quickly in addition to accurately searching through large data volumes and using the services of various information sources. Such systems usually operate by a brilliant scheme (although there are undoubtedly numerous unique strategies of indexing and processing queries underneath the symptoms): phrasal search, with proper consideration for those stem forms, synonyms etc. which just as before leads us to the problem connected with human resource. When using such technology the end user should first word the query phrases which might be the search criteria and presumably met from the necessary documents to be retrieved. But there is no guarantee that the user is able to independently choose or remember the correct phrase and in addition, that the search by this phrase will likely be satisfactory.
One more key moment would be the speed of processing a query. Certainly, when using the whole document instead of some words, the accuracy of search will increase manifold. But up to date, such an opportunity hasn’t been used because of the high capacity drain of a really process. The point is that search by words or phrases will not likely provide us with a highly applicable similarity of results. And the search by phrase equal in its length the main document consumes much time and computer system resources. Here is an example: while processing the query by one word there is absolutely no considerable difference in speed: whether it truly is 0, 1 or 0, 001 second seriously isn’t of crucial importance to the end user. But when you take an normal size document which contains about 2000 one of a kind words, then the search with factor for morphology (stem forms) in addition to thesaurus (synonyms), as well as generating a relevant list of results in the case of search by key words will take several a multitude of minutes (which is unacceptable for just a user).
The interim summary
As we can see, currently existing systems in addition to search technologies, although properly functioning, don’t solve the condition of search completely. Where speed is acceptable the relevancy leaves more for being desired. If the search is appropriate and adequate, it consumes lots of their time and resources. It is of course possible in order to resolve the problem by a very noticeable manner – by increasing the computer system capacity. But equipping the office with a multitude of ultra-fast computers which will continuously process phrasal queries composing of thousands of unique words, struggling as a result of gigabytes of incoming correspondence, technical literary works, final reports and other information is in excess of irrational and disadvantageous. There is a means.
The unique similar content search
At this time many companies are intensively working with developing full text search. The calculation speeds allow creating technologies that enable queries in a variety of exponents and wide array of ancillary conditions. The experience in creating phrasal search provides they then with an expertise to further build and perfect the search technology. For example, one of the most popular searches would be the Google, and namely one of it is functions called the “similar pages”. By using function enables the user to check out the pages of maximum similarity into their content to the sample one. Performance in principle, this function does not yet allow getting relevant results – there’re mostly vague and of low relevancy and in addition, sometimes utilizing this function shows complete absence of similar pages subsequently. Most probably, this is the reaction to the chaotic and unstructured nature of information from the Internet. But once the precedent has become created, the advent of the perfect search with not a hitch is just a matter of their time.
What concerns the corporate data finalizing and knowledge retrieval systems, here this matters stand much worse. The functioning (not existing in writing) technologies are very few. Without giant or the so called search technology guru has until now succeeded in creating a real identical content search. Maybe, the reason is it’s mostly not desperately needed, maybe – way too hard . to implement. But there is some sort of functioning one though.
SoftInform Search Technological know-how, developed by SoftInform, is the technology of in search of documents similar in their content towards sample. It enables fast and accurate try to find documents of similar content in any variety of data. The technology is based within the mathematical model of analyzing the document structure and selecting which, word combinations and text arrays, which results in forming an index of documents of maximum similarity the sample text abstract while using the relevancy percent defined. In contrast to the standard phrasal seek by the similar content search there’ no requirement to determine the key words previously – the search is conducted throughout the whole document. The technology works with several sources of information which might be stored both in text files connected with txt, doc, rtf, pdf, htm, html codecs, and the information systems of the favourite data bases (Access, MS SQL, Oracle, together with any SQL-supporting data bases). It also additionally supports the word and important words functions that enable to use a more specific search.
The similar search technology enables to help significantly cut time wasted on searching and reviewing identical or very similar documents, diminish the processing time for the stage of entering data into this archive by avoiding the duplicate docs and forming sets of data by way of certain subject. Another advantage of the SoftInform technology is it’s mostly not so sensitive to the computer system capacity and allows processing data for a very high speed even on everyday office computers.
This technology is just not a theoretic development. It has been tested and successfully implemented within a project of giving legal advice by using phone, where the speed of facts retrieval is of crucial importance. And it also will undoubtedly be more than useful in a knowledge base, analytical service and service department of any large firm. Universality and effectiveness on the SoftInform Search Technology allows solving a large spectrum of problems, arising while finalizing information. These include the fuzziness of facts (at the document entering stage you possibly can immediately define whether such a document already belongs to the data base or not) along with the similarity analysis of the documents which might be already entered into the data basic, and the search for semantically similar documents which saves time invested on selecting the appropriate key words in addition to viewing the irrelevant documents.
Besides its primary assignment (fast and premium quality search for information in huge volume like texts, archives, data bases) an Internet direction may be defined. For example, it is possible to see an expert system to process incoming correspondence and news that’ll become an important tool for analysts from different companies. Mainly, this will be possible a result of the unique similar content search technology, absent from from any of the existent systems so far except with the SearchInform. The problem of spamming search engines while using the so called doorways (hidden pages with phrase redirecting to the site’s main pages and helpful to increase the page rating with google) and the e-mail spam problem (an increasingly intellectual analysis would ensure higher higher level of security) would also be solved through this technology. But the most interesting perspective on the SoftInform Search technology is creating a new Search results, the main competitive advantage of which might be ability to search not through key words, but also for similar internet pages, which will add to the flexibility of search turning it into more comfortable and efficient.