Knowledge graphs represent a collection of interlinked descriptions of entities that put data in context via linking and semantic metadata and this way provide a framework for data integration, unification, analytics and sharing.
In this webinar, discussed the new Ontotext Platform. It is an All-in-One Platform for Linking Text and Knowledge Graphs. It provides Semantic Search, Exploration, Categorization and Recommendation as well as Deep Analytics. Watch this recording to learn more.
Semantic search bridges the language gap between humans and machines, and takes us further on our quest for meaningful information and knowledge discovery.
Semantic data integration is the process of combining data from disparate sources and consolidating it into meaningful and valuable information through the use of Semantic Technology. With Ontotext’s semantic integration tools, users can quickly design data processing jobs and integrate massive amounts of data.
An ontology is a formal description of knowledge as a set of concepts within a domain and the relationships that hold between them. Read about how ontologies not only introduce a sharable and reusable knowledge representation, but can also add new knowledge about the domain.