Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: A method and system for automatically generating a self-updating naturally-reading narrative product summary including assertions about a selected product. In one embodiment, the system and method includes evaluating an existing narrative product summary, comparing an existing attribute name, attribute value, attribute unit, and assertion model, respectively, to a current attribute name, attribute value, attribute unit, and assertion model to determine if one of the comparisons shows a change. The system and method further determines a new attribute associated with the selected product, selects an alternative product, retrieves a new assertion model with assertions that describe the selected product and identify an alternative product in a natural manner.

Abstract: A method and system for automatically generating a self-updating naturally-reading narrative product summary including assertions about a selected product. In one embodiment, the system and method includes evaluating an existing narrative product summary, comparing an existing attribute name, attribute value, attribute unit, and assertion model, respectively, to a current attribute name, attribute value, attribute unit, and assertion model to determine if one of the comparisons shows a change. The system and method further determines a new attribute associated with the selected product, selects an alternative product, retrieves a new assertion model with assertions that describe the selected product and identify an alternative product in a natural manner.

Abstract: A method and system for automatically generating a self-updating naturally-reading narrative product summary including assertions about a selected product. In one embodiment, the system and method includes evaluating an existing narrative product summary, comparing an existing attribute name, attribute value, attribute unit, and assertion model, respectively, to a current attribute name, attribute value, attribute unit, and assertion model to determine if one of the comparisons shows a change. The system and method further determines a new attribute associated with the selected product, selects an alternative product, retrieves a new assertion model with assertions that describe the selected product and identify an alternative product in a natural manner.

Abstract: A method and system for automatically generating a self-updating naturally-reading narrative product summary including assertions about a selected product. In one embodiment, the system and method includes evaluating an existing narrative product summary, comparing an existing attribute name, attribute value, attribute unit, and assertion model, respectively, to a current attribute name, attribute value, attribute unit, and assertion model to determine if one of the comparisons shows a change. The system and method further determines a new attribute associated with the selected product, selects an alternative product, retrieves a new assertion model with assertions that describe the selected product and identify an alternative product in a natural manner.

Abstract: A method and system for automatically generating a self-updating naturally-reading narrative product summary including assertions about a selected product. In one embodiment, the system and method includes evaluating an existing narrative product summary, comparing an existing attribute name, attribute value, attribute unit, and assertion model, respectively, to a current attribute name, attribute value, attribute unit, and assertion model to determine if one of the comparisons shows a change. The system and method further determines a new attribute associated with the selected product, selects an alternative product, retrieves a new assertion model with assertions that describe the selected product and identify an alternative product in a natural manner.

Abstract: A method and system for automatically generating a self-updating naturally-reading narrative product summary including assertions about a selected product. In one embodiment, the system and method includes evaluating an existing narrative product summary, comparing an existing attribute name, attribute value, attribute unit, and assertion model, respectively, to a current attribute name, attribute value, attribute unit, and assertion model to determine if one of the comparisons shows a change. The system and method further determines a new attribute associated with the selected product, selects an alternative product, retrieves a new assertion model with assertions that describe the selected product and identify an alternative product in a natural manner.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: A method and system for automatically generating a self-updating naturally-reading narrative product summary including assertions about a selected product. In one embodiment, the system and method includes evaluating an existing narrative product summary, comparing an existing attribute name, attribute value, attribute unit, and assertion model, respectively, to a current attribute name, attribute value, attribute unit, and assertion model to determine if one of the comparisons shows a change. The system and method further determines a new attribute associated with the selected product, selects an alternative product, retrieves a new assertion model with assertions that describe the selected product and identify an alternative product in a natural manner.

Abstract: A method and system for automatically generating a self-updating naturally-reading narrative product summary including assertions about a selected product. In one embodiment, the system and method includes evaluating an existing narrative product summary, comparing an existing attribute name, attribute value, attribute unit, and assertion model, respectively, to a current attribute name, attribute value, attribute unit, and assertion model to determine if one of the comparisons shows a change. The system and method further determines a new attribute associated with the selected product, selects an alternative product, retrieves a new assertion model with assertions that describe the selected product and identify an alternative product in a natural manner.

Abstract: A method and system for automatically generating a self-updating naturally-reading narrative product summary including assertions about a selected product. In one embodiment, the system and method includes evaluating an existing narrative product summary, comparing an existing attribute name, attribute value, attribute unit, and assertion model, respectively, to a current attribute name, attribute value, attribute unit, and assertion model to determine if one of the comparisons shows a change. The system and method further determines a new attribute associated with the selected product, selects an alternative product, retrieves a new assertion model with assertions that describe the selected product and identify an alternative product in a natural manner.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: The method comprises processing plural product information records from the product information sources into one or more groups based on which product information records are likely to correspond to the same product, correlating a unique product ID corresponding to the product associated with each of said groups to identify the product, comparing each identified product to categories of a taxonomy to determine a category for the identified products in the taxonomy, and determining attributes for each categorized product based on the product information records corresponding to each group, creating product specifications based on the determined attributes and storing the product specification in the corresponding determined categories of the taxonomy.

Abstract: A method of aggregating product information from a plurality of sources in a networked computer environment regarding products of a product category including the steps of providing a server interconnected to the network computer environment for providing a crawler to visit the plurality of sources and gathering product phrase information from each of the plurality of sources via the crawler, where the crawler utilizes computational linguistics to gather the product phrase information which includes a phrase and at least one characteristic of the phrase. The characteristic of the phrase may be frequency, location, font size, font style, font case, font effects, font color, collocation and co-occurrence of the phrase.