Abstract: A system and method enable automatic importation of data from an external data source into an electronic workspace in the form of a visual hierarchy. To display data from a data source, data is retrieved from the external data source, and a visual presentation format for the data is created based on characteristics of the data (e.g., the field to which the data is assigned in the data source, the type of data, the value of the data, etc), where the visual presentation format is hierarchical. The data is then displayed in an electronic workspace in the form of visual hierarchy that is accordance with such visual presentation format. In the electronic workspace, a user can manipulate and supplement the data without affecting the data source, unless there is a trigger event that causes modifications to the data to be written back to the data source.

Abstract: One embodiment provides a system for extracting shadow entities from emails. During operation, the system receives a number of document corpora. The system then calculates word-collocation statistics associated with different n-gram sizes for the document corpora. Next, the system receives an email and identifies shadow entities in the email based on the calculated word-collocation statistics for the document corpora.

Abstract: One embodiment provides a system for searching related documents. During operation, the system receives a source document. The system then searches related documents based on semantic entities extracted from the source document. Next, the system receives user-adjusted search criteria and updates search results of related documents based on the user-adjusted search criteria.

Abstract: One embodiment of the present invention provides a system for estimating a similarity level between semantic entities. During operation, the system selects two or more semantic entities associated with a number documents. The system subsequently parses the documents into sub-parts, and calculates the similarity level between the semantic entities based on occurrences of the semantic entities within the sub-parts of the documents.

Abstract: One embodiment of the present invention provides a system for estimating a similarity level between documents. During operation, the system receives a number of documents, extracts a number of semantic entities from the documents, calculates the similarity level between the documents based on the extracted semantic entities, and produces a result indicating similar documents based on the calculated similarity level.

Abstract: One embodiment provides a system for comparing documents based on different document-similarity calculation methods using adaptive weighting. During operation, the system receives at least two document-similarity values associated with two documents, wherein the document-similarity values are calculated by different document-similarity calculation methods. The system then determines the weight of a respective document-similarity calculation method for each of the two documents, as well as a weight-combination function for calculating a combined weight of the respective document-similarity calculation method associated with the two documents. Next, the system generates a combined similarity value based on the document-similarity values and the weight-combination function.

Abstract: One embodiment provides a system for extracting shadow entities from emails. During operation, the system receives a number of document corpora. The system then calculates word-collocation statistics associated with different n-gram sizes for the document corpora. Next, the system receives an email and identifies shadow entities in the email based on the calculated word-collocation statistics for the document corpora.

Abstract: One embodiment provides a system for searching related documents. During operation, the system receives a source document. The system then searches related documents based on semantic entities extracted from the source document. Next, the system receives user-adjusted search criteria and updates search results of related documents based on the user-adjusted search criteria.

Abstract: One embodiment provides a system for comparing documents based on different document-similarity calculation methods using adaptive weighting. During operation, the system receives at least two document-similarity values associated with two documents, wherein the document-similarity values are calculated by different document-similarity calculation methods. The system then determines the weight of a respective document-similarity calculation method for each of the two documents, as well as a weight-combination function for calculating a combined weight of the respective document-similarity calculation method associated with the two documents. Next, the system generates a combined similarity value based on the document-similarity values and the weight-combination function.

Abstract: One embodiment of the present invention provides a system for estimating a similarity level between documents. During operation, the system receives a number of documents, extracts a number of semantic entities from the documents, calculates the similarity level between the documents based on the extracted semantic entities, and produces a result indicating similar documents based on the calculated similarity level.

Abstract: One embodiment of the present invention provides a system for estimating a similarity level between semantic entities. During operation, the system selects two or more semantic entities associated with a number documents. The system subsequently parses the documents into sub-parts, and calculates the similarity level between the semantic entities based on occurrences of the semantic entities within the sub-parts of the documents.

Abstract: A system and method enable automatic importation of data from an external data source into an electronic workspace in the form of a visual hierarchy. To display data from a data source, data is retrieved from the external data source, and a visual presentation format for the data is created based on characteristics of the data (e.g., the field to which the data is assigned in the data source, the type of data, the value of the data, etc), where the visual presentation format is hierarchical. The data is then displayed in an electronic workspace in the form of visual hierarchy that is accordance with such visual presentation format. In the electronic workspace, a user can manipulate and supplement the data without affecting the data source, unless there is a trigger event that causes modifications to the data to be written back to the data source.