Abstract: A mobile application enables employees to manage their goals and track their performance at any time, and from any place. A mobile device such as a tablet computer or a smart phone can download goal information over the Internet from a remote server. The mobile device can provide user interfaces through which its user can work on the goal. The mobile device can upload the result of the work performed on the mobile device to the remote server. The mobile application also enables an employee to augment his or her goal and performance data using data from third-party systems. The data from the third party systems can be incorporated into the goal and performance data as evidence of the employee progressing toward his goals. For example, such data from a third-party system might include tweets from a Twitter feed, or stock prices from a NASDAQ ticker feed.

Abstract: A mobile application enables employees to manage their goals and track their performance at any time, and from any place. A mobile device such as a tablet computer or a smart phone can download goal information over the Internet from a remote server. The mobile device can provide user interfaces through which its user can work on the goal. The mobile device can upload the result of the work performed on the mobile device to the remote server. The mobile application also enables an employee to augment his or her goal and performance data using data from third-party systems. The data from the third party systems can be incorporated into the goal and performance data as evidence of the employee progressing toward his goals. For example, such data from a third-party system might include tweets from a Twitter feed, or stock prices from a NASDAQ ticker feed.

Abstract: Tables form an important kind of data element in text retrieval. Often, the gist of an entire news article or other exposition can be concisely captured in tabular form. Information other than the key words in a digital document can be exploited to provide the users with more flexible and powerful query capabilities. More specifically, the structural information in a document is exploited to identify tables and their component fields and let the users query based on these fields. Component fields can include table lines, caption lines, row headings, column headings, or other table components. Empirical results have demonstrated that heuristic method based table extraction and component tagging can be performed effectively and efficiently. Moreover, experiments in retrieval using the system of the present invention strongly indicate that such structural decomposition can facilitate better representation of user's information needs and hence more effective retrieval of tables.