Semantic Web Development Tools
Extracting and manipulating RDF from semistructured data and writing client applications to handle RDF data are common tasks that can be made easier and more efficient using software tools. Web designers and search engine optimization (SEO) experts often generate machine-readable annotations or convert existing structured data to a different serialization. While web site markup can be edited in any text editor, some advanced features are desired when working with semantic annotations, so an advanced text editor is a fundamental tool. Annotators can be used for semantically annotating your web pages and RDFizers to convert text, HTML, and XML documents to RDF. Application developers writing Semantic Web applications in Java, JRuby, Clojure, Scala, Python, and other programming languages often work with Integrated Development Environments, many of which support the integration of semantic software libraries. Ontology editors are widely deployed and used in ontology engineering, many of which support reasoning as well. Linked Data software tools are useful for extracting Linked Data, visualizing Linked Data interconnections, as well as exporting and publishing Linked Data. Semantic Web browsers can display structured data extracted from web pages, generate a map from geospatial data on your smartphone, and provide advanced navigation and interactivity features unavailable in traditional web browsers.