Word-Based Information Retrieval

Searching documents containing keywords is a very common way. This word-based information retrieval method is affected by two supplementary problems. First of all, if you use the same search meaning as the keyword, you may see relevant and inappropriate search results. Next, if you use only the title keyword, the text associated with the keyword does not contain text, it contains the context, so related text may be missed.

Context affects all aspects of information retrieval. The context of the searcher affects how you interact with the search system, how to predict the response to the system, and how to determine the information objects to search. Formation of Information Environment The ultimate goal of many information access systems (digital libraries, Web, intranet, etc.) is to provide appropriate content to end users. This content is increasingly a combination of text, multimedia, and metadata, formatted according to the format used.

Cross-language search is an interdisciplinary task based on technology and resources for information retrieval and natural language processing, which in turn promotes the implementation of this web-based dictionary at the global digital library conference. Independent code function across languages ​​for interacting with code written in different languages. It is also known as language interoperability, the ability to exchange and use information (usually on large heterogeneous networks consisting of multiple LANs)

English is always the main focus of information retrieval, it is a tradition. Many of these search algorithms and heuristic algorithms come from English-speaking countries and are based on that language. Over the years these search methods have been adopted by other language communities and have created multilingual unique monolingual search systems. However, in order to ensure complete information exchange, the information retrieval system requires multilingual or cross language. (December 2003)