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Sunday, 26 October 2014

Information Retrieval use of search engines

IR facilitates how search engines exploit natural language keywords or phrases to locate information gathered from a controlled source. It is this source called metadata which depends on organised structures to define how this digital data of information is maintained. The principal technology for an information need is IR (Information Retrieval), and yet it's full potential needs to be fully released amongst users who literal understanding of the IR or information retrieval system, in some cases still remains thorough primitive. We are confronted with our reality of how we perceive this challenge, we want instant information immediately without going through all the different stages involved to get there. Our reality cannot be totally relied upon when implementing our search retrieval strategy, we need some forms of control measure imported into the exercise to demonstrate the validity of our query investigations. One of the benefits of all information retrieval system is its ability to use natural language as representation of communication interface between the users and information representation this in fact could mean anything from a database to a user friendly search interface on a display screen.
 
Information retrieval is our identity fingerprint when entering digital information as metadata on the Internet contrary to traditional printed formats. The Internet as a hypertext platform can accommodate diversifying array of metadata formats using metadata standards such as Resource Description Framework, Dublin Core and many others, as software programs import variable formats with an upgrade capacity which is compatible with current standards for describing and organizing digital information. The metadata format has expanded into the traditional cataloguing space once reserved for printed materials such like books, journals, and documents. Then what is our perception of metadata? Well, it is digital information including: audio, video, text, pictures, and documents that can be stored, described or organized into other organized structural schemes by cataloguing, classification or database systems. Metadata conforms to hyperstructure system where HTML tags and hyperlinks enables indexed documents to be linked together.
 
Previous examples of metadata standards was given in the second of the paragraph, these involve Resource Description Framework (RDF) which form the infrastructure for encoding, modelling and exchanging metadata.  RDF uses XML (Extensive Markup Language) to process metadata exchanges using Transfer Syntax, requires search engines to capture content found on the web. Another standard mentioned was Dublin Core found in content description on Websites, webpages networked by weblink relationships.
 
Information retrieval systems contain keyword indexing mechanisms assisted with keyword search engines arguably search engines namely AltaVista, Google, Bing demonstrate similar method in keyword indexing so it can digitally search the full text collected inside a database for information retrieved from what is known to be stored. Clearly it seems keyword indexing is another example of how information is digitally represented being searched and retrieved relating to both content and description fulfil multimedia representation as social networking platforms like YouTube, Facebook, Twitter etc., in a digital age. Information representation to prove a high standard of representation must demonstrate an effective and direct way of emphasis on those attributes which highlight data based on author, language, and publication year.
 
The question we need to ask, what other mechanisms are helping keyword indexing perform its retrieval delivery? It all relies upon what vocabulary a system has, in this instance, it is a controlled vocabulary can contain a language of communication whether artificial or natural. An artificial language known as Thesauri will classification scheme maintained with specific heading lists and subject areas. An natural language is based on the language people speak, write and learn in any society or culture allows substantial meanings or subject concepts for these to function effectively when searching or retrieving.
 
Users are often challenged by two important realities when it comes to retrieving information through an OPAC (Online Public Access Catalogue) system, firstly what is my strategy for finding information, and secondly how can these be successfully retrieved within a short space of time. This is particularly true of researchers though armed with a research project title, often displaced to find themselves short changed when it comes to their understanding how they themselves retrieve the information they want confidently without wasting time. In the real world, users approach the issue desk for a practitioner to take and analyse information needs. Why? So as to perform searches with regard to ever changing situations. To do this, users may select any number of online services to answer their search query, nevertheless, they may satisfy their curiosity to go for an online service that is known for its popularity hence, Google, and use commands to initiate their search strategy.

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