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.

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.

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.

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.