12570 results about "Document preparation" patented technology

The method, program and system secures sensitive data/objects found in a data source document with an editor. The simple editor identifies and displays, in situ, the sensitive words/objects per each security level. Level tags are inserted and adjunctive words/objects are marked/displayed per the level's protocol. The precursor document is processed to extract sensitive and adjunctive words/objects. The stripped data is either separately stored or partial versions of the secured document are stored per protocol. A comprehensive editor secures content data and meta data contained in a data document object model (DOM). The editor maps the source document root, branch and leaf components as binary files populated with content data and meta data. Security introns, earlier identified based upon the level's informational attributes, are excluded. Security exons are copied from the source content and meta data binary files into a security safe document (template). Filtration, extraction, dispersal and storage follow.

Documents and other items can be delivered electronically from sender to recipient with a level of trustedness approaching or exceeding that provided by a personal document courier. A trusted electronic go-between can validate, witness and/or archive transactions while, in some cases, actively participating in or directing the transaction. Printed or imaged documents can be marked using handwritten signature images, seal images, electronic fingerprinting, watermarking, and/or steganography. Electronic commercial transactions and transmissions take place in a reliable, "trusted" virtual distribution environment that provides significant efficiency and cost savings benefits to users in addition to providing an extremely high degree of confidence and trustedness. The systems and techniques have many uses including but not limited to secure document delivery, execution of legal documents, and electronic data interchange (EDI).

A document similarity detection and classification system is presented. The system employs a case-based method of classifying electronically distributed documents in which content chunks of an unclassified document are compared to the sets of content chunks comprising each of a set of previously classified sample documents in order to determine a highest level of resemblance between an unclassified document and any of a set of previously classified documents. The sample documents have been manually reviewed and annotated to distinguish document classifications and to distinguish significant content chunks from insignificant content chunks. These annotations are used in the similarity comparison process. If a significant resemblance level exceeding a predetermined threshold is detected, the classification of the most significantly resembling sample document is assigned to the unclassified document. Sample documents may be acquired to build and maintain a repository of sample documents by detecting unclassified documents that are similar to other unclassified documents and subjecting at least some similar documents to a manual review and classification process. In a preferred embodiment the invention may be used to classify email messages in support of a message filtering or classification objective.

In a collaborative computing environment, a method and system for displaying revisions associated with a hosted electronic document are disclosed. In accordance with the disclosed method and system, select revisions of an electronic document may be displayed to a user, recreating a visual history play-back of the evolution of the electronic document. The electronic document may be displayed in a web-browsing application, utilizing a Document Object Model (“DOM”) retrieving the select revisions via Asynchronous JavaScript and XML (“AJAX”) calls to a remote device/server.

The disclosure provides for creating a finalized document relating to a transaction. A buyer selects documents associated with a proposed transaction and indicates trade terms of an agreement relating to the documents selected. The trade terms are presented to a seller on an electronic form via an electronic document platform. The electronic form includes a combined purchase order proforma invoice, a transportation document, and a shipping document. The seller can amend the trade terms on the form, and each amendment creates a new version of the form. Negotiations of the trade terms between the buyer and the seller are conducted electronically and the negotiated fonn detailing the negotiation of the trade terms is generated and displayed electronically, also. A compliance check is performed and is triggered in response to a digital signature of the form. Payment is initiated to the seller after a verification of credit of the buyer.

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 presenting a graphical menu item on a display. A system and method of metadata search ranking is disclosed. The present invention utilizes a combination of popularity and/or relevancy to determine a search ranking for a given search result association.

A term-by-document matrix is compiled from a corpus of documents representative of a particular subject matter that represents the frequency of occurrence of each term per document. A weighted term dictionary is created using a global weighting algorithm and then applied to the term-by-document matrix forming a weighted term-by-document matrix. A term vector matrix and a singular value concept matrix are computed by singular value decomposition of the weighted term-document index. The k largest singular concept values are kept and all others are set to zero thereby reducing to the concept dimensions in the term vector matrix and a singular value concept matrix. The reduced term vector matrix, reduced singular value concept matrix and weighted term-document dictionary can be used to project pseudo-document vectors representing documents not appearing in the original document corpus in a representative semantic space. The similarities of those documents can be ascertained from the position of their respective pseudo-document vectors in the representative semantic space.

A system and method for searching for documents within spaces in a distributed computing environment are provided. A client sends a lookup message to a space which stores documents. The lookup message may specify desired characteristics, such as a name or partial XML schema, of the stored documents. The documents may include XML service advertisements and XML device advertisements as well as general-purpose XML documents. A set of zero or more documents which match the lookup message are discovered. In one embodiment, the lookup message may include a desired name. If the lookup message includes both a desired name and a desired schema, the set of discovered documents may include both discovered documents having a name that matches the desired name and discovered documents having a schema that matches the desired schema. If the lookup message includes neither a desired name nor a desired schema, the set of discovered documents may include substantially all the documents stored in the space. After the matching documents are found, the space may send a lookup response message to the client. For each discovered document, the lookup response message may include a name and an advertisement. Each advertisement may include information which is usable by the client to obtain the respective discovered document or access the resource (e.g., a service) that the document advertises. The advertisements and messages may be expressed in a data representation language such as XML.

A method on an information processing unit performing steps for creating a user interface (UI) to assemble a document that conforms to a particular document type definition. The method hides the specific syntax of document type definitions such as DTDs and schemas from the user. The method begins with a selection from a user for a document type or an existing document. Once the document type is selected or determined from the existing document the document type definitions are retrieved. The document type definitions include one or more elements. The method parses the elements which are subsequently mapped to one or more interface controls such as icons, pull-down menus, buttons, selection boxes, progress indicators, on-off checkmarks, scroll bars, windows, window edges for resizing the window, toggle buttons, forms, and UI widgets. UI can be GUIs or interactive voice response systems. A UI editor is presented by assembling the one or more interface controls without presenting specific document type definition syntax to a user. The UI editor permits the user to create and edit the content objects that are associated with the interface controls. The content objects are aggregated in an XML compatible format and ready to be checked in for further processing. The method permits specific UI interfaces to be created for specific publishing environments and at the same time permit the creation of reusable content objects.

The serving of advertisements with (e.g., on) video documents may be improved in a number of ways. For example, a system may (a) accept information defining at least one ad spot associated with at least one instance of an video document, (b) accept offers to have advertisements served in the ad spot(s), and (c) arbitrate among competing advertisements, using at least the offers, to determine at least one advertisement to be served in that ad spot(s). As another example, a system may (a) accept relevance information for an advertisement, (b) determine at least one video document using the accepted relevance information, (c) present information about the video document(s) to an advertiser associated with the advertisement, and (d) accept, from the advertiser, an offer to have its advertisement served with at least one of the video document(s) accepted. As yet another example, a system may (a) accept relevance information for an video document, (b) determine a plurality of advertisements relevant to the video document using the relevance information and serving constraints of the advertisements, and (c) select at least one of the determined relevant advertisements to be served with the video document. Examples of video documents include video files published on the Internet, television programs, live or recorded talk shows, video-voice mail, segments of an video conversation, etc.

The method and system identifies and classifies and monetizes intangible asset (I.A.) unstructured digital data in a computer system by ownership characterizations and intellectual property (I.P.) classifications. Enterprise and non-enterprise data collections are searched based upon an expanded project specification (of descriptive functions, characteristics and objectives). Primary search terms from the project are expanded by content, contextual and taxonomic analysis to generate a plurality of search string parameters employed to search the data collections. The search engine returns data and documents, ownership characteristics are ascertained by comparison of the returns and I.P. classifications are made based upon the returns. This process also handles unstructured enterprise specific data not otherwise located in the data collections or unstructured data from other I.A. programs such as H.R. performance modules, supply chain modules or CRM modules. Unstructured data matching an organized data set from project and the search returns is integrated into the organized data set.

A process and system for database storage and retrieval are described along with methods for obtaining semantic profiles from a training text corpus, i.e., text of known relevance, a method for using the training to guide context-relevant document retrieval, and a method for limiting the range of documents that need to be searched after a query. A neural network is used to extract semantic profiles from text corpus. A new set of documents, such as world wide web pages obtained from the Internet, is then submitted for processing to the same neural network, which computes a semantic profile representation for these pages using the semantic relations learned from profiling the training documents. These semantic profiles are then organized into clusters in order to minimize the time required to answer a query. When a user queries the database, i.e., the set of documents, his or her query is similarly transformed into a semantic profile and compared with the semantic profiles of each cluster of documents. The query profile is then compared with each of the documents in that cluster. Documents with the closest weighted match to the query are returned as search results.

The method, system and a computer program and a computer product for managing workers and documents is provided. The method includes storing industry representations and a list of workers with data related to the workers, linking the industry representations to the workers and selecting at least one worker from based on the industry representations for that worker. The method also includes scheduling workers to a job based on whether they have all of the required industry representations. In addition, the method includes uploading industry representations and bar code scanning industry representations into the database. The method further includes dispatching said industry representations to other users and automatically mapping fields of the dispatched data in the destination database. In addition, the method includes selectively encrypting only sensitive fields in data transmission between two entities.

A system for internet navigation using soft hyperlinks is disclosed, in connection with an illustrative information retrieval system with which it may be used. The navigation tool provides freedom to move through a collection of electronic documents independent of any hyperlink which has been inserted within an HTML page. A user can click on any term in a document page, not only those that are hyperlinked. For example, when a user clicks on an initial word within the document, the disclosed system employs a search engine in the background to retrieve a list of related terms. In an illustrative embodiment, a compass-like display appears with pointers indicating the first four terms returned by the search engine. These returned terms have the highest degree of correlation with the initial search term in a lexical knowledge base that the search engine constructs automatically. The disclosed system allows the user to move from the current document to one of a number of document lists which cover different associations between the initial word clicked on by the user and other terms extracted from within the retrieved list of related terms. The disclosed system may further allow the user to move to a document that is considered most related to the initial word clicked on by the user, or to a list of documents that are relevant to a phrase or paragraph selection indicated by the user within the current page.

A method and apparatus for selecting and converting database records or sets of related documents into network data and presenting that data in a network visualization system that enables users to select among, and move between various network displays by selecting one or more attributes of the data to be represented as the nodes and links of the network.

One implementation of a method reassembles complete client-server conversation streams, applies decoders and/or decompressors, and analyzes the resulting data stream using multi-dimensional content profiling and/or weighted keyword-in-context. The method may detect the extrusion of the data, for example, even if the data has been modified from its original form and/or document type. The decoders may also uncover hidden transport mechanisms such as, for example, e-mail attachments. The method may further detect unauthorized (e.g., rogue) encrypted sessions and stop data transfers deemed malicious. The method allows, for example, for building 2 Gbps (Full-Duplex)-capable extrusion prevention machines.

A system and method provides universal access to voice-based documents containing information formatted using MIME and HTML standards using customized extensions for voice information access and navigation. These voice documents are linked using HTML hyper-links that are accessible to subscribers using voice commands, touch-tone inputs and other selection means. These voice documents and components in them are addressable using HTML anchors embedding HTML universal resource locators (URLs) rendering them universally accessible over the Internet. This collection of connected documents forms a voice web. The voice web includes subscriber-specific documents including speech training files for speaker dependent speech recognition, voice print files for authenticating the identity of a user and personal preference and attribute files for customizing other aspects of the system in accordance with a specific subscriber.