32479 results about "Documentation" 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.

A method of retrieving and manipulating electronic information that relates to a printed document. Each printed document contains an initialization marking that is recognizable by an external sensory device and unique to the printed document. When a reader of the printed document desires to retrieve and manipulate electronic information that relates to the printed document, the reader initializes the system by using the sensory device to recognize the initialization marking. The sensory device transfers a code embedded in the initialization marking to a computing device. This configures the computing device to access the stored data and instruction sets associated with the printed document. In addition to the initialization marking, areas throughout the printed document (e.g., text, tables, figures, etc.) also contain markings that are recognizable by the external sensory device. The reader of the printed document uses the sensory device to recognize the markings and transfer the code embedded in the markings to the computing device. The computing device uses the code to retrieve and display the electronic information that relates to that area of the printed document.

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.

A voice-enabled document system facilitates execution of service delivery operations by eliminating the need for manual or visual interaction during information retrieval by an operator. Access to voice-enabled documents can facilitate operations for mobile vendors, on-site or field-service repairs, medical service providers, food service providers, and the like. Service providers can access the voice-enabled documents by using a client device to retrieve the document, display it on a screen, and, via voice commands initiate playback of selected audio files containing information derived from text data objects selected from the document. Data structures that are components of a voice-enabled document include audio playback files and a logical association that links the audio playback files to user-selectable fields, and to a set of voice commands.

An ontology-based parser incorporates both a system and method for converting natural-language text into predicate-argument format that can be easily used by a variety of applications, including search engines, summarization applications, categorization applications, and word processors. The ontology-based parser contains functional components for receiving documents in a plurality of formats, tokenizing them into instances of concepts from an ontology, and assembling the resulting concepts into predicates. The ontological parser has two major functional elements, a sentence lexer and a parser. The sentence lexer takes a sentence and converts it into a sequence of ontological entities that are tagged with part-of-speech information. The parser converts the sequence of ontological entities into predicate structures using a two-stage process that analyzes the grammatical structure of the sentence, and then applies rules to it that bind arguments into predicates.

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.

Personalized advertisements are provided to a user using a search engine to obtain documents relevant to a search query. The advertisements are personalized in response to a search profile that is derived from personalized search results. The search results are personalized based on a user profile of the user providing the query. The user profile describes interests of the user, and can be derived from a variety of sources, including prior search queries, prior search results, expressed interests, demographic, geographic, psychographic, and activity information.

A integrated customer interface for providing telecommunications management to a customer at a browser involves a web server and a client application. The web server manages a client session supports communication of request messages received from the browser to a network management resource. The client application is integrated for use within the browser, downloadable from the web server in accordance with a predetermined customer entitlement, and programmed to be in interactive communications with the network management resource.

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 serving of one or more ads to a user device considers determined characteristics of a user device, such as whether or not the user device supports telephone calls. At least some ads may include call-on-select functionality. When such an ad is selected (e.g., via a button click), instead of loading a document (e.g., Web page) for rendering, a telephone number associated with the ad by an advertiser can be automatically dialed.

A system and method for limiting access to and preventing unauthorized use of an owner's digital content stored in an information network and available to clients under authorized conditions. The network includes at least one server coupled to a storage device for storing the limited access digital content encrypted using a random-generated key, known as a Document Encryption Key (DEK). The DEK is further encrypted with the server's public key, using a public/private key pair algorithm and placed in a digital container stored in a storage device and including as a part of the meta-information which is in the container. The client's workstation is coupled to the server for acquiring the limited access digital content under the authorized condition. A Trusted Information Handler (TIH) is validated by the server after the handler provides a data signature and type of signing algorithm to transaction data descriptive of the purchase agreement between the client and the owner. After the handler has authenticated, the server decrypts the encrypted DEK with its private key and re-encrypts the DEK with the handler's public key ensuring that only the information handler can process the information. The encrypted DEK is further encrypted with the client's public key personalizing the digital content to the client. The client's program decrypts the DEK with his private key and passes it along with the encrypted content to the handler which decrypts the DEK with his private key and proceeds to decrypt the content for displaying to the client.

A search engine for searching a corpus improves the relevancy of the results by refining a standard relevancy score based on the interconnectivity of the initially returned set of documents. The search engine obtains an initial set of relevant documents by matching a user's search terms to an index of a corpus. A re-ranking component in the search engine then refines the initially returned document rankings so that documents that are frequently cited in the initial set of relevant documents are preferred over documents that are less frequently cited within the initial set.

Methods and apparatus consistent with the invention provide improved organization of documents responsive to a search query. In one embodiment, a search query is received and a list of responsive documents is identified. The responsive documents are organized based in whole or in part on usage statistics.

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.