Abstract: The present invention discloses a system and method for information retrieval by decoding barcodes from images obtained using a mobile device or computer. The barcode image is obtained via a digital camera or web cam attached to the mobile device or computer. After the barcode image has been obtained, the image is decoded using decoder residing in the mobile device or computer. Information contained in the barcode is displayed on the screen of the mobile device or computer. Further action is carried out according to information extracted from the barcode. Another method to decode the obtained image is to transmit the image through HTTP protocol to a server for decoding and carrying out instruction contained in the barcode.

Abstract: A method for processing natural language Chinese sentences can transform a Chinese sentence into a Triple representation using shallow parsing techniques. The method is concerned with parsing Chinese sentences by employing lexical and syntactical information to extract more prominent entities in a Chinese sentence, and the sentence is then transformed into a Triple representation by employing the Triple rules referring to elemental Chinese syntax—SVO (subject, verb, and object in order). The lexical and syntactical information in our method is referring a lexicon possessed of part-of-speech (POS) information and phrase-level syntax in Chinese respectively. The Triple representation consists of three elements which are agent, predicate, and patient in a sentence.

Abstract: The system consists of the following modules: natural language processing module, document database module, document metadata module, matching module and answer extraction module. The natural language processing module gets user's input Chinese query sentence and processes the sentence to obtain the corresponding deep syntactic structure. The document database module consists of a repository to store the documents about the knowledge of the application domains. The document metadata module is used to create the metadata for the entries stored in the document database. The matching module is used to compare the deep syntactic structure of the input query sentence with the metadata stored in the metadata module to obtain meaning-equivalent entries. The answer extraction module then extracts, according to the indices of the meaning-equivalent entries, the documents from the document database as the output for the user's request.