Patents by Inventor JIangbo Dang

JIangbo Dang has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20160224645
    Abstract: Methods for building a semantic knowledge base for ontology-based data integration. A method includes receiving a semantic knowledge base related to an application domain, wherein the semantic knowledge base comprises a graph database and a global ontology schema, receiving a data collection related to an application domain, the data collection comprising structured data, semi-structured data, and unstructured data, annotating the unstructured data into annotated data using predefined metadata defined by the global ontology schema, mapping and converting the structured data and the semi-structured data to semantic data into the graph database, integrating the annotated data with the semantic data in the graph database, and storing the semantic knowledge base in a database.
    Type: Application
    Filed: February 3, 2015
    Publication date: August 4, 2016
    Inventor: Jiangbo Dang
  • Patent number: 8751218
    Abstract: Systems and methods are disclosed that perform automated semantic tagging. Automated semantic tagging produces semantically linked tags for a given text content. Embodiments provide ontology mapping algorithms and concept weighting algorithms that create accurate semantic tags that can be used to improve enterprise content management, and search for better knowledge management and collaboration.
    Type: Grant
    Filed: February 1, 2011
    Date of Patent: June 10, 2014
    Assignee: Siemens Aktiengesellschaft
    Inventors: Jiangbo Dang, Murat Kalender, Candemir Toklu, Kenneth Hampel
  • Publication number: 20140040275
    Abstract: A semantic tagging engine automatically generates semantic tags for the given documents and enables semantic search, based on meanings of search terms and content tags. A Semantic Knowledge Management Tool (SKMT) forms a semantic search and knowledge management platform to search, analyze and manage enterprise content. SKMT scans different content sources and generates indexes of semantic keywords. Its interface allows users to manage various data sources, search, explore and visualize search results at semantic level. SKMT provides high precision of semantic search and semantic data visualization.
    Type: Application
    Filed: October 11, 2013
    Publication date: February 6, 2014
    Applicant: SIEMENS CORPORATION
    Inventors: JIangbo Dang, Murat Kalender, Candemir Toklu, Kenneth Hampel
  • Publication number: 20110196670
    Abstract: Systems and methods are disclosed that perform automated semantic tagging. Automated semantic tagging produces semantically linked tags for a given text content. Embodiments provide ontology mapping algorithms and concept weighting algorithms that create accurate semantic tags that can be used to improve enterprise content management, and search for better knowledge management and collaboration.
    Type: Application
    Filed: February 1, 2011
    Publication date: August 11, 2011
    Inventors: Jiangbo Dang, Murat Kalender, Candemir Toklu, Kenneth Hampel