Domain-specific data entity mapping method and system

A method for mapping data entities comprising:

• defining a data domain including a plurality of classification axes and a plurality of classification labels for each axis;
• accessing a plurality of data entities potentially having attributes of interest;
• identifying attributes in the data entities corresponding to the axes and labels of the data domain;
• and
• classifying the identified data entity attributes in accordance with the corresponding attributes based upon a one-to-many mapping of a data entity to a plurality of labels or axes.

A method for mapping data entities comprising:

• defining a data domain including a plurality of classification axes and a plurality of classification labels for each axis;
• generating a template based upon the domain definition for user selection of criteria for analysis of the data entities;
• accessing a plurality of data entities potentially having attributes of interest;
• identifying entity attributes corresponding to the axes and labels based upon the selection criteria;
• and
• classifying the identified data entity attributes in accordance with the corresponding attributes of the axes and labels.

A method for mapping data entities comprising:

• accessing a plurality of data entities potentially having attributes of interest;
• accessing a template for user selection of criteria for analysis of the data entities based upon a data domain definition including a plurality of classification axes and a plurality of classification labels for each axis;
• and
• classifying the data entities based upon corresponding attributes of the axes and labels selected as criteria in the template to classify the data entities in accordance with the domain definition.

A method for identifying documents of interest comprising:

• defining a data domain including a plurality of classification axes, a plurality of classification labels for each axis and a plurality of terms associated with the axes and labels;
• accessing a plurality of textual documents;
• identifying identify documents having terms corresponding to the axes, labels and associated terms based upon the axes, the labels and the terms of the data domain;
• and
• classifying the identified documents in accordance with the data domain.

A method for mapping intellectual property rights in a field of interest comprising:

• defining a data domain including a plurality of classification axes and a plurality of classification labels for each axis forming predefined, user selectable classification paths, and a plurality of terms associated with the axes and labels;
• accessing a plurality of patent documents, each having associated patent data;
• identifying patent data corresponding to the axes, labels and associated terms based upon the axes, the labels and the terms of the data domain;
• and
• classifying the identified patent data in accordance with a plurality of the axes or labels of the data domain.

A method for mapping data entities comprising:

• defining a data domain including a plurality of classification axes and a plurality of classification labels for each axis;
• accessing a plurality of data entities potentially having attributes of interest;
• identifying attributes in data entities corresponding to the axes and labels of the data domain;
• and
• classifying the identified data entity attributes in accordance with the corresponding attributes of the axes and labels.