Abstract: The present disclosure provides for categorization of lists of words. The method comprises querying DBpedia to find the resources related to the given list of words. Once the resources are found, the corresponding media Wikipedia categories can be retrieved, as well as their ancestors, generating a graph of categories. A number of graph analysis algorithms can then be applied to the graph, each returning a selected category. For each algorithm a classifier is trained to decide whether the output of the algorithm is indeed the “best” category. An ensemble weighted majority voting can then be used to select the best category based on votes cast by each classifier. The disclosure demonstrates a more accurate selection of the best category and can include an ensemble majority rated voting algorithm comprising all voting members initially casting one vote; i.e., highest frequency, most frequently occurring word, least common ancestor and centrality measures.

Abstract: A computer-implemented method and system for creating data sources for a variable data publishing (VDP) marketing campaign pattern. The method and system can be utilized to generate a data source from external sources, such as Encyclopedic knowledge-bases, when desired data is not locally available. A user can specify a conceptual identity, and the method and system automatically map the conceptual identity to an appropriate database, generate semantic queries, and query the database to develop the data source for use in the campaign.

Abstract: The present invention generally relates to systems and methods for assessing a multi-media marketing campaign under development. The techniques presented assess, for example, whether pairs of touchpoints of the campaign are compatible in terms of best practices related to content and style and whether contributors to the touchpoints are effectively collaborating.

Abstract: A system and method for semantically classifying numerical data includes using semantic classification techniques on ‘nearby’ non-numerical data to identify a context whereby opaque data sets of numbers can be semantically classified inside of that context. An Electronic Knowledge Base is used to query against the context and determine the semantics of the opaque numeric data sets.

Abstract: An improved automated planning method and system includes the use of an automated planner for validating a workflow plan with respect to device capabilities. As such, the present invention provides for an improved method and system for implementing and managing workflow plans utilized in printing environments such as, for example, print shops. A plurality of device capability descriptions can be converted into a data indicative of facts and operators for utilizing in a knowledge-based reasoning system. Next, a workflow plan can be converted into properties indicative of a goal state. The goal state and the data indicative of facts and operators can then be utilized in association with a domain-independent or domain-dependent planner to determine if said workflow plan is valid and executable in order to thereby validate said workflow plan.

Abstract: A method of automatically visualizing the content and messaging of documents in a marketing campaign design environment are provided. The exemplary method includes receiving an identification of a specified Touchpoint of the plurality of Touchpoints in a campaign; instantiating the specified Touchpoint and its elements into a knowledge model; executing semantic inferencing engine to determine inferences based on the plurality of Touchpoints instantiated into the knowledge model; transforming inferences into implicit requirements about the contents for each of the Touchpoints; displaying a representation of the specified Touchpoint; and including within the representation of the specified Touchpoint the Touchpoint contents as described by the explicit and implicit requirements.

Abstract: The present disclosure provides for categorization of lists of words. The method comprises querying DBpedia to find the resources related to the given list of words. Once the resources are found, the corresponding media Wikipedia categories can be retrieved, as well as their ancestors, generating a graph of categories. A number of graph analysis algorithms can then be applied to the graph, each returning a selected category. For each algorithm a classifier is trained to decide whether the output of the algorithm is indeed the “best” category. An ensemble weighted majority voting can then be used to select the best category based on votes cast by each classifier. The disclosure demonstrates a more accurate selection of the best category and can include an ensemble majority rated voting algorithm comprising all voting members initially casting one vote; i.e., highest frequency, most frequently occurring word, least common ancestor and centrality measures.

Abstract: Methods and systems herein receive a selection of at least one variable data printing (VDP) pattern from a first user to compose an initial sample design. The methods receive image, text, and graphics into the initial sample design from the first user and the user tags such image, text and graphics with VDP pattern elements. The processes of receiving the image, text, and graphics and tagging alter the initial sample design into the tagged sample design. Further, the methods and systems can automatically convert the tagged sample design into at least one different format file. The methods and systems can automatically provide the different format file to at least one second user. Additionally, the second user can include data components into the different format file to support the composition of a targeted marketing campaign sample.

Abstract: An improved automated planning method and system includes the use of an automated planner for generating a plan template and a final plan generator to produce a fully parameterized workflow plan. Such an approach provides for the generation of fully parameterized workflow plans utilized in rendering environments. A plurality of device capability descriptions can be converted into a data indicative of facts and operators for use with an automated planner, which can be either domain-independent or domain-dependent. Next, a formal product description can be converted into properties indicative of a goal state. The goal state and the data indicative of facts and operators can then be utilized with the automated planner to synthesize a plan template. The plan template is then provided to a final plan generator, along with a formal product description, to produce a fully parameterized workflow plan.

Abstract: Embodiments of the disclosure simplify the design process by drawing inferences based on data input by the user and making design suggestions to the user. In accordance with one aspect of the present disclosure, apparatus are provided that assist users in the design of a personalized marketing campaign. A user interface is disclosed that allows the user to input data and receive information. A personalized marketing campaign knowledge database is disclosed that contains data encoding concepts extracted from complete personalized marketing campaigns and semantic definitions of those concepts. A semantic inference engine is also disclosed which draws inferences based on a comparison of the semantics of the data entered by the at least one user and the semantic definitions of the concepts encoded in the knowledge database, and communicates those inferences to the at least one user to assist the user in construction of the marketing campaign.

Abstract: In accordance with one aspect of the present disclosure, apparatus are provided that allow for the automatic categorization of the subsets of a user-supplied data set, for example recipient lists for a multivariable distribution campaign. A user interface is disclosed that facilitates the uploading of the user's recipient list. A categorizer is disclosed which categorizes subsets of the user-supplied data. A storage mechanism is disclosed which stores reference categories of data expected by the multi-variable campaign logic. A mapper is disclosed which maps the user supplied data categorized by the categorizer to the reference categories stored by the storage mechanism.

Abstract: Apparatus are provided that includes a consumer access device configured to provide a product consumer with access to an online store and to allow the product consumer to enter data into a feedback form relating to a product purchased from a provider. A provider device is configured to communicate with the consumer access device information regarding the product such that the product consumer can input feedback information in the feedback form. A feedback engine is configured to process data regarding the product such that the feedback form is updated by the feedback engine. The feedback engine can be configured to communicate with one or more databases of product information to obtain updated data regarding the product such that the feedback form can be updated, and the feedback engine can be configured to adjust the level of detail in the feedback form depending on the knowledge of the product consumer.

Abstract: Apparatus are provided that includes a data communications device configured to communicate one or more offers regarding a product or service to one or more target recipients. A data segmentation engine is configured to communicate with the data communication device and to process data regarding the target recipients interaction with the one or more offers. The data segmentation engine is configured to tag the target recipients with data associated with the offer and with data regarding the target recipients interaction with the offer. A graphing engine is configured to create one or more semantic representations of behavior of the one or more target recipients, and the resulting semantic representations can include information tagged to each target recipient by the data segmentation engine. The semantic representations are used to determine which set of target recipients will be communicated with subsequent semantically-related offers.

Abstract: A method and system for making marketing campaigns discoverable to non-recipients via, for example, the Internet. In one example, information from a VDP marketing campaign is used to generate metadata that is embedded in web pages that support the VDP campaign. A non-recipient Internet user may discover the VDP campaign through various paths, such as via search engine results returned to the user during a web search.

Abstract: A method and user interface for eliciting and processing user feedback includes displaying on a computing device display a digital asset, wherein the digital asset has an associated list having at least one keyword; displaying on the computing device display a user feedback interface, the user feedback interface comprising at least one input component configured to receive user generated input; receiving a keyword replacement pair via the at least one input component; storing the keyword replacement pair; analyzing the stored keyword replacement pair; and producing results indicting potential changes to the digital asset based upon the analyzing. Based upon the results of the analysis, an updated version of the digital asset may be produced including any user suggested changes.

Abstract: As set forth herein, computer-implemented methods and systems facilitate providing an approach for using defined patterns of variable-data campaigns to enable a marketing service provider to express a non-expert user's desired campaign intent, using natural language and campaign intent terms, as well as to accurately capture the non-expert user's intent by communicating using non-technical campaign terminology. Communication of semantically robust campaign intent to variable-data campaign graphic designers and developers is facilitated by the described systems and methods, as is automated creation of a variable-data logic (plan) file based on semantic campaign intent. The described systems and methods facilitate the creation of variable data publishing (VDP) marketing campaigns by the non-expert, including verification and validation of the variable-data logic.

Abstract: A system and method for semantically classifying numerical data includes using semantic classification techniques on ‘nearby’ non-numerical data to identify a context whereby opaque data sets of numbers can be semantically classified inside of that context. An Electronic Knowledge Base is used to query against the context and determine the semantics of the opaque numeric data sets.

Abstract: A computer-implemented method and system for creating data sources for a variable data publishing (VDP) marketing campaign pattern. The method and system can be utilized to generate data source from external sources, such as Encyclopedic knowledge-bases, when desired data is not locally available. A user can specify a conceptual identity, and the method and system automatically map the conceptual identity to an appropriate database, generate semantic queries, and query the database to develop the data source for use in the campaign.

Abstract: As set forth herein, computer-implemented methods and systems facilitate providing an approach for using defined patterns of variable-data campaigns to enable a marketing service provider to express a non-expert user's desired campaign intent, using natural language and campaign intent terms, as well as to accurately capture the non-expert user's intent by communicating using non-technical campaign terminology. Communication of semantically robust campaign intent to variable-data campaign graphic designers and developers is facilitated by the described systems and methods, as is automated creation of a variable-data logic (plan) file based on semantic campaign intent. The described systems and methods facilitate the creation of variable data publishing (VDP) marketing campaigns by the non-expert, as well as communication and collaboration with the rest of a VDP design team.

Abstract: Systems and methods for automatically assigning items to printable media are disclosed. A computer readable medium is in communication with a computing device and includes programming instructions for electronically obtaining a first template that includes a plurality of first content items, each including a first content area. For each first content item, first content area properties and first content item properties are identified. A second template including a plurality of second content areas is electronically obtained. For each second content area, second content area properties, second content item properties and content rules are automatically identified. For each first content item, it may be determined whether a first content item corresponds to a second content area based on the rules. The first content item may be automatically assigned to the second content area. A representation of each assigned content item may be printed.