Abstract: Dynamic translation of idioms is performed with respect to electronic communications. An idiom search application is activated which identifies an idiom within a phrase and searches a corpus for a translation of the idiom and one or more associated characteristics. In response to detection of the translation in the corpus, profile metadata related to the observed communication is collected and compared to the one or more characteristics. The idiom and the collected profile metadata are stored in a corpus that supports a search of the idiom. In response to absence of the translation in the corpus, the idiom is dynamically translated. The translated idiom is presented proximal to the evaluated expression.

Abstract: Identification and processing of idioms is performed with respect to electronic communications. An expression is detected in connection with a potential idiom and a confidence level is assigned to the potential idiom. Upon assigning a first confidence level, the potential idiom is identified as an idiom, and an explanation of the idiom is identified. The idiom, corresponding explanation, and corresponding metadata are stored in a corpus that supports a search of the idiom. Upon assigning a second confidence level to the idiom, a secondary application becomes activated, and the secondary application creates a message containing an alert including the detected potential idiom and the assigned second confidence level.

Abstract: Identification and translation of idioms is performed with respect to electronic communications. Confusion with an expression is determined. Based on the confusion an idiom within the expression and an explanation of the idiom is identified. The idiom and corresponding explanation are extracted from the electronic communication. The language of the idiom is identified and the idiom is translated to a second language. The idiom, corresponding explanation, translation, and/or corresponding metadata are stored in a corpus that supports a search of the idiom.

Abstract: Dynamic translation of idioms is performed with respect to electronic communications. An idiom search application is activated which identifies an idiom within a phrase and searches a corpus for a translation of the idiom and one or more associated characteristics. In response to detection of the translation in the corpus, profile metadata related to the observed communication is collected and compared to the one or more characteristics. The idiom and the collected profile metadata are stored in a corpus that supports a search of the idiom. In response to absence of the translation in the corpus, the idiom is dynamically translated. The translated idiom is presented proximal to the evaluated expression.

Abstract: Identification and processing of idioms is performed with respect to electronic communications. An expression is detected in connection with a potential idiom and a confidence level is assigned to the potential idiom. Upon assigning a first confidence level, the potential idiom is identified as an idiom, and an explanation of the idiom is identified. The idiom, corresponding explanation, and corresponding metadata are stored in a corpus that supports a search of the idiom. Upon assigning a second confidence level to the idiom, a secondary application becomes activated, and the secondary application creates a message containing an alert including the detected potential idiom and the assigned second confidence level.

Abstract: Identification and translation of idioms is performed with respect to electronic communications. Confusion with an expression is determined. Based on the confusion an idiom within the expression and an explanation of the idiom is identified. The idiom and corresponding explanation are extracted from the electronic communication. The language of the idiom is identified and the idiom is translated to a second language. The idiom, corresponding explanation, translation, and/or corresponding metadata are stored in a corpus that supports a search of the idiom.

Abstract: Dynamic translation of idioms is performed with respect to electronic communications. An electronic communication is observed and movement of indicia proximal to a phrase in the electronic communication is detected. In response to the detection, an idiom search application is activated which identifies an idiom within the phrase and searches a corpus for a translation of the idiom and one or more associated characteristics. In response to detection of the translation in the corpus, profile metadata related to the observed communication is collected and compared to the one or more characteristics. The idiom and the collected profile metadata are stored in a corpus that supports a search of the idiom. In response to absence of the translation in the corpus, the idiom is dynamically translated. The translated idiom is presented proximal to the evaluated expression.

Abstract: A method, system and program product of managing multiple versions of enterprise meta-models within an enterprise model using semantic based indexing. The steps include: receiving a query; determining from the query a topic and at least two versions of a topic map meta-model of the enterprise meta-models to compare; applying the query to a merged topic map meta-model of the at least two versions of the topic map meta-model by searching a topic map based index of the merged topic map meta-model for the topic, producing a result; and using the result to translate the topic from the query in at least one of the at least two versions of the topic map meta-model to coexist and correspond to the other version of the topic map meta-model, allowing data between the at least two versions topic map meta-model of the enterprise meta-models within the enterprise model to be correlated.

Abstract: A method, system and program product of managing multiple versions of enterprise meta-models within an enterprise model using semantic based indexing. The steps include: receiving a query; determining from the query a topic and at least two versions of a topic map meta-model of the enterprise meta-models to compare; applying the query to a merged topic map meta-model of the at least two versions of the topic map meta-model by searching a topic map based index of the merged topic map meta-model for the topic, producing a result; and using the result to translate the topic from the query in at least one of the at least two versions of the topic map meta-model to coexist and correspond to the other version of the topic map meta-model, allowing data between the at least two versions topic map meta-model of the enterprise meta-models within the enterprise model to be correlated.

Abstract: An information engineering writer's tool uses stored common, semi-common and unique information objects to build audience specific documentation, including specific instruction manuals. A recursive processing program retrieves and sorts called information objects a first time and then sorts the contents for nested calls to other information objects. Each information object is stored a single time. Recall of nested information objects is desirably limited to a single time for each printing or previewing of constructed documents.