Abstract: A method for storing customized attributes in a clinical document architecture (CDA) document to provide searching functionality in a clinical environment includes retrieving, from a clinical database, attributes to be attached to a document in accordance with scripted instructions received from a user. The method further includes concatenating the retrieved attributes in accordance with the scripted instructions to create a customized, derived attribute, storing the customized, derived attribute in the document, and sending the document with the customized, derived attribute to the clinical database for storage.

Abstract: A method for storing customized attributes in a clinical document architecture (CDA) document to provide searching functionality in a clinical environment includes retrieving, from a clinical database, attributes to be attached to a document in accordance with scripted instructions received from a user. The method further includes concatenating the retrieved attributes in accordance with the scripted instructions to create a customized, derived attribute, storing the customized, derived attribute in the document, and sending the document with the customized, derived attribute to the clinical database for storage.

Abstract: The invention provides a system and method for identifying text in a word set. The method may include retrieving a target term set including a plurality of target terms; retrieving the word set including a plurality of text words; normalizing target terms in the target term set to generate normalized terms; normalizing text words in the word set to generate normalized words; comparing the normalized terms with the normalized words to determine (1) a first match between a first normalized term and a first normalized word; and (2) a second match between a second normalized term and a second normalized word.

Abstract: Disclosed is a distributed computer application that utilizes the Internet and Web browsers as the interface to the distributed computer application server. Users who are providers of data utilize Secure Sockets Layer (SSL) enabled HyperText Transport Protocol (HTTP) to encrypt communications between their Web browser and the distributed computer application Web server (HTTPS). A Java servlet on the external HTTPS distributed computer application Web server handles the file upload from the Web browser and re-POSTs the data to a processing Java servlet on an internal HTTPS distributed computer application application server. The processing Java servlet on the internal HTTPS distributed computer application server is used to handle the file upload from the collection Java servlet on the external HTTPS distributed computer application Web server and saves the file locally in a database on the internal HTTPS distributed computer application application server.

Abstract: The present invention provides a system, method and computer program product for identifying and matching company names to business event information. A crawler crawls and downloads documents by starting from a pre-defined set of links. A parser breaks down the downloaded documents into components like text, titles and links. An evaluator evaluates the parsed documents and selects documents on the basis of amount of relevant information contained in the documents. An information extractor identifies the occurrences of company names in the text contained in the selected documents. It also identifies occurrences of business events, specified by a pre-defined set of event phrases, in the text contained in the selected documents. Further, the information extractor matches the identified company names to the identified business events in order to generate company-business event pairs.

Abstract: The invention provides a system and method for identifying text in a word set. The method may include retrieving a target term set including a plurality of target terms; retrieving the word set including a plurality of text words; normalizing target terms in the target term set to generate normalized terms; normalizing text words in the word set to generate normalized words; comparing the normalized terms with the normalized words to determine (1) a first match between a first normalized term and a first normalized word; and (2) a second match between a second normalized term and a second normalized word.