42 results about "Semantic link" patented technology

Semantically linked pages are queried based on a user supplied interest vector. The interest vector provides a weight for presenting results from the query of pages. The interest vectors are used to calculate the importance of pages of a query based on the weight of semantic links associated with the page known as page rank indicators. Optionally, the calculation is augmented by other page ranking algorithms. An indication of the resulting pages is displayed according to the calculated importance. Preferably the calculation utilizes a dot product of page rank and user interest vectors.

An extension of an inverse inference search engine is disclosed which provides cross language document retrieval, in which the information matrix used as input to the inverse inference engine is organized into rows of blocks corresponding to languages within a predetermined set of natural languages. The information matrix is further organized into two column-wise partitions. The first partition consists of blocks of entries representing fully translated documents, while the second partition is a matrix of blocks of entries representing documents for which translations are not available in all of the predetermined languages. Further in the second partition, entries in blocks outside the main diagonal of blocks are zero. Another disclosed extension to the inverse inference retrieval document retrieval system supports automatic, knowledge based training. This approach applies the idea of using a training set to the problem of searching databases where information that is diluted or not reliable enough to allow the creation of robust semantic links. To address this situation, the disclosed system loads the left-hand partition of the input matrix for the inverse inference engine with information from reliable sources.

An extension of an inverse inference search engine is disclosed which provides cross language document retrieval, in which the information matrix used as input to the inverse inference engine is organized into rows of blocks corresponding to languages within a predetermined set of natural languages. The information matrix is further organized into two column-wise partitions. The first partition consists of blocks of entries representing fully translated documents, while the second partition is a matrix of blocks of entries representing documents for which translations are not available in all of the predetermined languages. Further in the second partition, entries in blocks outside the main diagonal of blocks are zero. Another disclosed extension to the inverse inference retrieval document retrieval system supports automatic, knowledge based training. This approach applies the idea of using a training set to the problem of searching databases where information that is diluted or not reliable enough to allow the creation of robust semantic links. To address this situation, the disclosed system loads the left-hand partition of the input matrix for the inverse inference engine with information from reliable sources.

A data construct called a semcard is a semantic (meaning-based) software object including semantic meta-tags and meta-data that describes a target object or thing. A target object can be any type of digital or physical entity or identifier, or it can be tacit knowledge, such as ideas, concepts, processes or other data existing in a user's mind, provided that the user represents this knowledge in the semcard. A semcard embodies information about its own structure-rules, history, state, policies and goals regarding automation, display, access permissions, sharing and other operations of the semcard and any optional target object. It can also represent a semantic link between two semcards, or a semantically typed link or a standard Web hyperlink between a semcard and its referent target. A collection of semcards represents a knowledge network; single semcards, and knowledge networks, can be browsed, shared, searched, disseminated, manipulated, displayed, organized, and stored.

A method for enrichment of text which enables mixed data mining includes generating a model for structured data found in tables of a database. In the model, semantically-linked terms are associated with referents, such as field names or cell content of the fields, of the structured data. The referents may be a business object or refer to a business object. A plurality of candidate referring entities in textual data in the database, such as chunks of free text, is identified. For each candidate referring entity, a similarity measure between the candidate referring entity in the textual data and the model is computed to identify referring entities of the candidate referring entities and corresponding business objects / referents to which the referring entities refer. The textual data is enriched with information derived from the business objects.

A method and system are disclosed for creating a hyperlink together with an associated semantic link between a source entity, and a target entity. The source entity includes descriptive text. The system includes means for selecting text within the source entity, and means for selecting the target entity. Also, means are provided for selecting a type of semantic link, and means are provided for creating a hyperlink between said selected text and said target entity. The system further includes means for creating a semantic link of said type between said source entity and said target entity, including means for including in the hyperlink a reference to said semantic link. In the preferred embodiment of the invention, the means for selecting the type of semantic link includes means for prompting a user to select from among a plurality of candidate types of semantic links.

An apparatus and a method for automated semantic annotation of a process model having model elements named by natural language expressions, wherein said apparatus comprises at least one semantic pattern analyser which analyses the textual structure of each natural language expression on the basis of predefined semantic pattern descriptions to establish a semantic linkage between each model element to classes and instances of a reference process ontology for generating a semantically annotated process model.

Briefly, the present invention provides electronic methods and apparatus for storing and organizing access restricted multimedia objects. This is accomplished using semantic networks by interactively defining a semantic network, identifying a relationship between nodes by associating a label with each semantic link, attaching multimedia objects to nodes and restricting user access to multimedia objects and / or the semantic network. The method allows users to access and edit the semantic network in a Java-based platform-independent software environment. The present invention further provides a method for multiple users to collaboratively store and organize multimedia objects by providing a shared view via a network while defining the semantic network, identifying the relationship between nodes, and attaching multimedia objects to nodes. The method permits a first user to interactively edit the semantic network, transfer control to a second user, and allow the second user to edit the semantic network while maintaining the shared view. The present invention further provides a method for collaborative platform-independent authoring of multimedia documents, allowing a first user to edit a multimedia document, providing the first and a second user with a shared view of the document via a network, permitting the first user to transfer control of the document to the second user, and allowing the second user to edit the document while maintain the shared view. These tasks are performed in a platform-independent Java-based software environment. The method further comprises restricting access to multimedia documents and / or multimedia objects based on a set of access privileges.

The invention provides a subject area identifying method based on weight of a text structure. Based on a tree structure, the method provided by the invention comprises the following steps: resolving a webpage into a label tree and improving a data area excavation and semanteme link block identifying technology on the basis of tree matching, thereby realizing pre-processing for removing links; providing a concept of the weight of the text structure and identifying a subject area with the assistance of the calculation result of the weight of the text structure; and finally adopting a normalization method to calculate a relative length value of a text node in the subject area, and using the normalized relative length value for effectively removing the text node independent from a subject content, thereby realizing denoising in the subject area and acquiring an accurate subject content. By applying the technical scheme of the invention, valuable information on the webpage can be accurately and rapidly excavated, thus the subject area identifying method provided by the invention has a wide application prospect.

Briefly, the present invention provides electronic methods and apparatus for storing and organizing access restricted multimedia objects. This is accomplished using semantic networks by interactively defining a semantic network, identifying a relationship between nodes by associating a label with each semantic link, attaching multimedia objects to nodes and restricting user access to multimedia objects and / or the semantic network. The method allows users to access and edit the semantic network in a Java- or AJAX-based platform-independent software environment. The present invention further provides a method for rating semantic networks by allowing viewers to provide feedback regarding a semantic network's value or usefulness and then calculating a rating in accordance with the received feedback. The present invention further provides a method for linking semantic networks to build a knowledge base.

The invention discloses a prefetching method of cache data based on an incremental closing sequence mining. Through collecting the data access sequence of visiting the memory by the CPU, the data access sequence is transferred into a sequence input database, mining a frequent closed sequence adopting the incremental closing sequence mining arithmetic, extracting a cache data prefetching rule to use to conduct the data prefetching of the cache, so that there are semantic link and data prefetching intelligent between the data blocks, which enhances the hit ratio of the cache. The invention can mine the inputted sequence in an incremental way according to the environmental change in real time. Maintaining mass candidate closed sequences is not needed, so that a lot of space is saved, enhanced the hit ratio of the cache by 12%-25%. The invention has universality, being easy to widely apply to the real time environment that the sequence input string database is dynamic update, the range of variation is small, and the frequency is high.

A computer-implemented method of generating an issue library from a corpus of documents defining a citation network includes semantically linking, by a computing device, electronic documents within the corpus of documents by pairing reasons-for-citing in citing documents with cited-text-areas in cited documents and storing citation entries associated with the semantically-linked electronic documents in a citation-pairing metadata file. The method may further include searching the citation-pairing metadata file for reasons-for-citing and cited-text-areas that are semantically similar to at least one issue to thereby group similar documents and reasons-for-citing by issue, and storing information regarding groups of semantically-similar reasons-for-citing and cited-text-areas in a plurality of issue library metadata entities. Each issue library metadata entity is associated with an individual issue.

A method and an apparatus for automatic extraction of process model comprising model elements named by natural language expressions and annotated with semantic linkages to a reference process ontology are disclosed. The process model is split into partial process models by which an annotated partial process model is created. Process goals are decoupled from each annotated partial and hierarchical process goal tree is generated for each annotated partial process model.

The present invention provides electronic methods and apparatus for storing and organizing access to restricted multimedia objects. This is accomplished using semantic networks by interactively defining a semantic network, identifying a relationship between nodes by associating a label with each semantic link, attaching multimedia objects to nodes and restricting user access to multimedia objects and / or the semantic network. The method allows users to access and edit the semantic network in a Java- or AJAX-based platform-independent software environment. The present invention further provides a method for rating semantic networks by allowing viewers to provide feedback regarding a semantic network's value or usefulness and then calculating a rating in accordance with the received feedback. The present invention further provides a method for linking semantic networks to build a knowledge base.

A method for enrichment of text which enables mixed data mining includes generating a model for structured data found in tables of a database. In the model, semantically-linked terms are associated with referents, such as field names or cell content of the fields, of the structured data. The referents may be a business object or refer to a business object. A plurality of candidate referring entities in textual data in the database, such as chunks of free text, is identified. For each candidate referring entity, a similarity measure between the candidate referring entity in the textual data and the model is computed to identify referring entities of the candidate referring entities and corresponding business objects / referents to which the referring entities refer. The textual data is enriched with information derived from the business objects.

This system for assisting generating queries comprises means for generating a query using logic operators to link selected concepts. The generation means comprise means for determining logic operators of the query on the basis of the nature of predetermined semantic links between the selected concepts.

The invention discloses semantic link based recommendation method and device for a heterogeneous resource of a TV platform. The method comprises the steps of extracting text information of all media resources from a background media resource library; extracting feature word candidates of the media resources on the basis of the text information of each media resource; calculating the weight of the feature word candidates; filtering the feature word candidates on the basis of the weight to obtain the feature words; producing a feature word weight matrix T of the background media resource library; calculating the cluster similarity of each media resource in the background media resource library and the current media resource by the cluster method on the basis of the feature word weight matrix T in case that the current media resource viewed by a user is the media resource in the background media resource library; and selecting L media resources with the maximum cluster similarity to produce a media resource recommendation list.

Tree type data structure and structure of supporting multiple types of semantic chain network is adopted to build semantic chain network. The procedure includes following step: (1) inputting a resources file; (2) three markers are assigned to file; (3) checking structured semantic chain network; (4) semantic chain network in extensible markup language (XML) format is saved as content file in document and file of semantic chain network; (5) based on generated semantic chain network, coarse grain inference and fine grain inference is carried out for semantic information contained in semantic chain network; (6) converting content file in document and file of semantic chain network into files in hypertext markup language (HTML) format; (7) browsing semantic chain network. The file can be browsed by current each browser.

An explanatory integrity determination method and system determines the explanatory integrity of content by analyzing factors that include intentional deception, conscious and unconscious biases, and explanatory gaps. The analyzing is performed by an ensemble of machine learning-based models, including linguistic analysis, semantic chaining, and deep learning. The determined explanatory integrity of an item of content is delivered to a consumer of the content through user interfaces such as a graphical presentations and / or natural language interfaces and / or is applied as an element of decision making by a computer-implemented recommender system.

The invention discloses a page-level FTL solid state disk performance optimization method based on correlation perception. In an SSD based on a flash memory, an FTL is adopted to redirect write content to an idle physical address, and a mapping table from a logic address to the physical address is managed, which seriously affects the performance of the SSD based on the flash memory. In order to improve the performance based on the flash SSD, I / O correlation in workloads is utilized, a related perception page level FTL technology is provided, and a related perception mapping table is designed and a correlation prediction table is constructed based on correlation of reading operation so as to support rapid searching of mapping entries in the related perception mapping table. Moreover, the read-write cache is split, and a skew-perceived dirty item index is constructed, so that the cache hit rate is increased, and the garbage collection overhead is reduced. According to the method, the page mapping efficiency can be remarkably improved, the read-write performance is improved, and the junk collection overhead is reduced by using the semantic link related perception page level FTL method.

A semantic network establishing system includes an editing center, a translating center and a node detection center. The editing center generates at least a knowledge node and edits at least a semantic link for encoding a semantic relationship between the knowledge node and the related knowledge node. The translating center communicatively connects the editing center. The translating center acquires an editing content from the knowledge system and sends the editing content to the editing center for editing. The node detection center communicatively connects with the knowledge node, wherein the node detection center detects a state of said knowledge node for informing the user the state of the knowledge node, so that the user is encouraged to continuously edit.

The invention discloses a cross-ontology attribute chain reasoning method based on a cloud platform. The method comprises the following steps that: (1) utilizing a semantic connection method obtain a mapping knowledge domain H of a uniform format; (2) utilizing the mapping knowledge domain to obtain an attribute chain reasoning network C; (3) replacing an object and an attribute with corresponding id, and forming a mapping knowledge domain H' and an attribute chain reasoning network C'; (4) applying a MapReduce frame, carrying out the concurrent reasoning of the attribute chain on the mapping knowledge domain H' according to the C', and revising and updating the C'; (5) storing a reasoning result in hdfs, and adding the reasoning result into the mapping knowledge domain H'; (6) circulating the (4) and the (5) until no new reasoning facts are generated; and (7) combining reasoning results generated by multiple iterations on the hdfs. By use of the method, cross-ontology mass knowledge concurrent reasoning can be supported, the method exhibits high expansibility, and the method has a good practical value for the application of large-scale semantic data reasoning.

A method for provisioning application resources using semantic links is provided. Each application is divided into a set of separate resources corresponding to business logic linked to each other by semantic links. The application is configured based on user requirements. The provider assembles an application provisioning package, including creating a Virtual Environment (e.g., VM) on a customer site and launching an application instance on the VM based on required configuration determined by application resources and the semantic links required by these resources. A provisioning algorithm is implemented as a hierarchical tree. A root tree resource (object) is created. All relationships (semantic links) are determined. Existing linked objects are found and not yet existing ones are determined. The tree branch is created not further than one a link from a non-existent object. The leaf nodes of the tree are existing objects or objects that do not have the required links.

Tree type data structure and structure of supporting multiple types of semantic chain network is adopted to build semantic chain network. The procedure includes following step: (1) inputting a resources file; (2) three markers are assigned to file; (3) checking structured semantic chain network; (4) semantic chain network in extensible markup language (XML) format is saved as content file in document and file of semantic chain network; (5) based on generated semantic chain network, coarse grain inference and fine grain inference is carried out for semantic information contained in semantic chain network; (6) converting content file in document and file of semantic chain network into files in hypertext markup language (HTML) format; (7) browsing semantic chain network. The file can be browsed by current each browser.

A multimedia data organization process, i.e. creation, of a photo album or slideshow, said multimedia data being represented by contingent individuals (14a, 14b, 14c, 14d, 14e, 14f) of an instantiated ontology that in addition to generic individuals (EC, C, F, M, T, A) comprises semantic links between individuals, comprising: —the presentation to the user of the choice of at least one individual from the instantiated ontology, and in response to a user-prompted choice, —the selection and organization of a subset of multimedia data corresponding to the contingent individuals of the instantiated ontology according to at least one selection and / or organization rule engaging the user-chosen individual and the related semantic links.

A semantic network establishing system includes an editing center, a translating center and a node detection center. The editing center generates at least a knowledge node and edits at least a semantic link for encoding a semantic relationship between the knowledge node and the related knowledge node. The translating center communicatively connects the editing center. The translating center acquires an editing content from the knowledge system and sends to the editing center for editing. The node detection center communicatively connects with the knowledge node, wherein the node detection center detects a state of said knowledge node for informing the user the state of the knowledge node, so that the user is encouraged to continuously edit.