1. Articles in category: Semantic

    49-72 of 4058 « 1 2 3 4 5 6 ... 167 168 169 »
    1. Deep structured semantic model produced using click-through data

      A deep structured semantic module (DSSM) is described herein which uses a model that is discriminatively trained based on click-through data, e.g., such that a conditional likelihood of clicked documents, given respective queries, is maximized, and a condition likelihood of non-clicked documents, given the queries, is reduced. In operation, after training is complete, the DSSM maps an input item into an output item expressed in a semantic space, using the trained model. To facilitate training and runtime operation, a dimensionality-reduction module (DRM) can reduce the dimensionality of the input item that is fed to the DSSM. A search engine ...

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    2. Deduction of analytic context based on text and semantic layer

      A system includes reception of text, extraction of a plurality of linguistic entities and associated linguistic entity categories based on the text; determination of one or more semantic objects of a semantic layer based on the linguistic entity categories, and generation of a query of the semantic layer based on the plurality of linguistic entities, the associated linguistic entity categories, and the one or more semantic objects. The extraction of the plurality of linguistic entities may include identification of the plurality of linguistic entities from a plurality of semantic object-independent linguistic entity categories and a plurality of semantic object-dependent linguistic ...

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    3. i4 Recruitment Job Application for Semantic Web Developer | Monster.com

      By continuing you agree to Monster's Privacy Policy , Terms of Use and use of cookies . Semantic Web Developer at i4 Recruitment London, London SE19BG About the Job Semantic Web Developer - London, £45-55k plus package Our client is a successful and recognised software / web developer. Due to new business projects they require a Semantic Web Developer to join the team.

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      Mentions: London Linked Data
    4. Geographical location rendering system and method and computer readable recording medium

      A geographical location rendering method executed in a geographical location rendering system for identifying at least one semantic region is provided. A density clustering is performed on a plurality of user generated contents of respective geographical location name information to generate a plurality of region candidates. A name extraction is performed on the region candidates to extract and confirm a common region name of the region candidates as a name of the semantic region. A region scope of the region candidates is detected as a location scope of the semantic region according to a spatial density analysis.

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    5. Knowledge-based editor with natural language interface

      A computer-implemented method for knowledge based ontology editing, is provided. The method receives a language instance to update a knowledge base, using a computer. The method semantically parses the language instance to detect an ontology for editing. The method maps one or more nodes for the ontology for editing based on an ontology database and the knowledge base. The method determines whether the mapped nodes are defined or undefined within the knowledge base. The method calculates a first confidence score based on a number of the defined and undefined mapped nodes. Furthermore, the method updates the knowledge base when the ...

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    6. Semi-automated evaluation of biomedical ontologies for the biobanking domain based on competency questions.

      Semi-automated evaluation of biomedical ontologies for the biobanking domain based on competency questions.

      Semi-automated evaluation of biomedical ontologies for the biobanking domain based on competency questions.

      Stud Health Technol Inform. 2015;212:65-72

      Authors: Hofer P, Neururer S, Hauffe H, Insam T, Zeilner A, Göbel G

      Abstract BACKGROUND: Biosample collections and biobank information systems have become a key enabler for medical research. Therefore it is important to identify potentially relevant ontologies to semantically enrich information related to the biobanking domain.

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    7. Cross-language text clustering

      Methods are described for performing clustering or classification of texts of different languages. Language-independent semantic structures (LISS) are constructed before clustering is performed. These structures reflect lexical, morphological, syntactic, and semantic properties of texts. The methods suggested are able to perform cross-language text clustering which is based on the meaning derived from texts. The methods are applicable to genre classification, topic detection, news analysis, authorship analysis, internet searches, and creating corpora for other tasks, etc.

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    8. Evaluating Semantic Similarity between Chinese Biomedical Terms through Multiple Ontologies with Score Normalization: An Initial Study.

      Evaluating Semantic Similarity between Chinese Biomedical Terms through Multiple Ontologies with Score Normalization: An Initial Study.

      Evaluating Semantic Similarity between Chinese Biomedical Terms through Multiple Ontologies with Score Normalization: An Initial Study.

      J Biomed Inform. 2016 Oct 31;:

      Authors: Ning W, Yu M, Kong D

      Abstract BACKGROUND: Semantic similarity estimation significantly promotes the understanding of natural language resources and supports medical decision making.

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      Mentions: China Umls
    9. Semantic integration of medication data into the EHOP Clinical Data Warehouse.

      Semantic integration of medication data into the EHOP Clinical Data Warehouse.

      Semantic integration of medication data into the EHOP Clinical Data Warehouse.

      Stud Health Technol Inform. 2015;210:702-6

      Authors: Delamarre D, Bouzille G, Dalleau K, Courtel D, Cuggia M

      Abstract UNLABELLED: Reusing medication data is crucial for many medical research domains. Semantic integration of such data in clinical data warehouse (CDW) is quite challenging. Our objective was to develop a reliable and scalable method for integrating prescription data into EHOP (a French CDW).

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    10. Convolutional latent semantic models and their applications

      Functionality is described herein for transforming first and second symbolic linguistic items into respective first and second continuous-valued concept vectors, using a deep learning model, such as a convolutional latent semantic model. The model is designed to capture both the local and global linguistic contexts of the linguistic items. The functionality then compares the first concept vector with the second concept vector to produce a similarity measure. More specifically, the similarity measure expresses the closeness between the first and second linguistic items in a high-level semantic space. In one case, the first linguistic item corresponds to a query, and the ...

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    11. Biomedical question answering using semantic relations.

      (Save current location: 82.166.195.66) Abstract The proliferation of the scientific literature in the field of biomedicine makes it difficult to keep abreast of current knowledge, even for domain experts. While general Web search engines and specialized information retrieval (IR) systems have made important strides in recent decades, the problem of accurate knowledge extraction from the biomedical literature is far from solved.

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      Mentions: Medline
    12. Systems and methods for inferring gender by fusion of multimodal content

      A method and systems are provided. The method includes recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user. The method further includes performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions. The method also includes combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores, to infer a gender of a user.

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    13. Semantic Web Developer Job in London SE19BG, London UK

      Semantic Web Developer Job in London SE19BG, London UK

      About the Job Semantic Web Developer - London, £45-55k plus package Our client is a successful and recognised software / web developer. Due to new business projects they require a Semantic Web Developer to join the team. The successful candidate needs to have the interdisciplinary knowledge of a solid software development background as well as a deep insight into the Semantic Web and Linked Data areas.

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      Mentions: London Linked Data
    14. Apparatus, system and method for a semantic editor and search engine

      We describe here a system and method for creating, maintaining and using a semantic search engine environment for precise retrieval of curated answers to questions where the answers may be drawn from an authoritative document collection. The invention combines processing by human developers and software: semantic editing tools for creating, storing, maintaining queries and variants of queries, and query and document passage categories; links from queries to text passages that provide answers to these queries; a document retrieval store; means for matching user queries against stored queries; means for creating, storing, maintaining, and retrieving semantic and management metadata and categories ...

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    15. Determining quality of a summary of multimedia content

      A quality metric of a multimedia summary of a multimedia content item is determined based, in part, on semantic similarities of the summary and content item, rather than just on word frequencies. This is accomplished in some embodiments by identifying a semantic meaning of the summary and multimedia content item using vector analysis. The vectors of the summary and the vectors of the multimedia content item are compared to determine semantic similarity. In other examples, the quality metric of the multimedia summary is determined based on, in part, a coherence between an image portion of a summary and a text ...

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    16. Semantically aware, dynamic, multi-modal concordance for unstructured information analysis

      An apparatus includes a data processing system for generating and displaying a semantic type concordance. The data processing system includes memory storing a computer program, a display to display data of a concordance generated by the program, and a processor configured to execute the computer program. The computer program includes instructions for displaying a user interface configured to enable a user to select semantic types and specify at least one text document, generating a concordance of the at least one document based on the semantic types, and displaying data of the generated concordance on the display.

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    17. Detecting semantic errors in text using ontology-based extraction rules

      Semantic errors in a natural language text document are automatically detected by matching sentences in the document with stored ontology-based extraction rules that express both logically correct and logically incorrect relationships between the classes and properties of an ontology for a predefined knowledge domain of relevance to the natural language text document. The matching identifies logically correct and incorrect statements in the document which may be used for various applications such as automatic grading.

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    18. Systems and methods for creating, navigating, and searching informational web neighborhoods

      Systems and methods for the creation of hierarchical networks of overlapping informational web neighborhoods using percolation crawling. Each neighborhood comprises a set of closely linked pages that share a common set of concepts and intent and purpose. The neighborhoods represent web pages that share a common set of underlying concepts and semantic associations. Each such neighborhood can be semantically tagged.

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    19. Written word refinement system and method

      A method for processing an original user writing, implemented by a computer processor, to modify relationships between words, phrases, signs and symbols comprising the writing, where necessary, to generate a modified writing that more clearly conveys a semantic content intended by the user, or consistent with the core principles associated with its mechanisms, when compared to the original user writing. The method includes receiving an original writing from a user, processing to perform a linguistic analysis on the original user writing in accordance with a plurality of rules to identify semantic content and based on the processing, and the semantic ...

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    20. Measuring accuracy of semantic graphs with exogenous datasets

      Provided is a process including: obtaining a semantic similarity graph having nodes corresponding to documents in an analyzed corpus and edges indicating semantic similarity between pairs of the documents; for at least a plurality of nodes in the graph, evaluating accuracy of the edges based on neighboring nodes and an external corpus by performing operations including: identifying the neighboring nodes based on adjacency to the respective node in the graph; selecting documents from an external corpus based on references in the selected documents to entities mentioned in the documents of the neighboring nodes; and determining how semantically similar the respective ...

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    21. Method for extracting semantic distance from mathematical sentences and classifying mathematical sentences by semantic distance, device therefor, and computer readable recording medium

      A method of extracting the semantic distance from the mathematical sentence and classifying the mathematical sentence by the semantic distance, includes: receiving a user query; extracting at least one keyword included in the received user query; and extracting a semantic distance by, indexing one or more of natural language tokens and mathematical equation tokens including semantic information, extracting the semantic distance, between the at least one extracted keyword and the one or more indexed semantic information by referring indexed information, and acquiring a similarity of the received user query and the semantic information.

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    49-72 of 4058 « 1 2 3 4 5 6 ... 167 168 169 »
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