International Business Machines Corporation

W Scott Spangler

Ying Chen

Jeffrey Thomas Kreulen

Qi He

Larry Lee Proctor

Reiner Kraft

Robert Lee Angell

Richard D Hennessy

Thomas D Griffin

Bin He

James J Rhodes

David Charles Martin

James William Cooper

Tapas Kanungo

Stephen Kane Boyer

Amit Behal

Justin Thomas Lessler

Herschel J R Weintraub

Xin Jin

Amy W Chow

A system and method for processing a document to generate a set of related documents. A system is provided that includes a textual analytics system that analyzes unstructured data contained in a source document and extracts a set of structured information about the source document; and a compare system that identifies a set of related documents by comparing the set of structured information with metadata indexed from a set of publications.

System and method for using text analytics to identify a set of related documents from a source document

According to one embodiment, a semi-supervised data integration model for named entity classification from a first repository of entity information in view of an auxiliary repository of classification assistance data is provided. Training data are compared to named entity candidates taken from the first repository to form a positive training seed set. A decision tree is populated and classification rules are created for classifying the named entity candidates. A number of entities are sampled from the named entity candidates. The sampled entities are labeled as positive examples and/or negative examples. The positive training seed set is updated to include identified commonality between the positive examples and the auxiliary repository. A negative training seed set is updated to include negative examples which lack commonality with the auxiliary repository. In view of both the updated positive and negative training seed sets, the decision tree and the classification rules are updated.

Semi-supervised data integration model for named entity classification

Embodiments of the invention relate to technology prediction. A technical dictionary of technical terms is constructed based on a collection of documents. The technical terms are partitioned into equivalence classes. A table is generated that correlates technical terms across equivalence classes based on temporal co-occurrence of the technical terms across the equivalence classes. For a given technical term the table is accessed to determine a first set of technical terms that correlate to the given technical term. The table is accessed again to determine a second set of technical terms that correlate to the first set of technical terms. It is predicted that the second set of technical terms will correlate to the given technical term in the future.

Technology prediction

Consumer-generated media (CGM) and/or other media are monitored to allow an organization to become aware of, and respond to, issues that may affect how it is perceived by the public. An extract, transform, load (ETL) engine is used to process CGM and other media content, and an analytical engine utilizes a multi-step progressive filtering approach to identify those documents that are most relevant. The filtering approach includes executing broad queries to extract relevant content from different CGM and other sources, extracting text snippets from the relevant content and performing de-duplication, defining organizational identity (e.g., brand name, trade name, or company name) and hot-topic models using a rule-based and statistical-based approach, and using the models together in an orthogonal filtering approach to effectively generate alerts and reports. The methodology is found to be substantially more effective compared to a conventional keyword based approach.

Method of monitoring electronic media

A method for presenting to an end-user the intermediate matching search results of a keyword search in an index list of information. The method comprising the steps of: coupling to a search engine a graphical user interface for accepting keyword search terms for searching the indexed list of information with the search engine; receiving one or more keyword search terms with one or more separation characters separating there between; performing a keyword search with the one or more keyword search terms received when a separation character is received; and presenting the number of documents matching the keyword search terms to the end-user, and presenting a graphical menu item on a display. In accordance with another embodiment of the present invention, an information processing system and computer readable storage medium carries out the above method.

Interactive process for recognition and evaluation of a partial search query and display of interactive results

A computing system and method explores a knowledge repository by accepting a natural language query from a user, determining a distance between the query and every category in every partitioning of the knowledge repository, and displaying a radial graph ( ) of the nearest categories. Further, in response to a user selecting a category, visually displaying matching elements in the category along with its nearest neighbor categories in a scatter plot ( ).

Method and system for knowledge repository exploration and visualization

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San Martin, CA, United States of America

W Scott Spangler