Semantic Web Search Engines\nThis page collects links to Semantic Web Search Engines. Semantic Web Search Engines use robots to crawl RDF data from the Web and provide search and navigation facilities over crawled data.The page is part of the community project [[SweoIG/TaskForces/CommunityProjects/LinkingOpenData|]]
SOBOLEO is a system for web-based collaborative engineering of SKOS ontologies and annotation of web resources. Users collaboratively create a taxonomy, use it to annotate web resources and use it as background knowledge during search.
Jena is a Java framework for building Semantic Web applications. It provides a programmatic environment for RDF, RDFS and OWL, SPARQL and includes a rule-based inference engine.
Jena is open source and grown out of work with the HP Labs Semantic Web Programme.
"BinPad Editor is a tool that helps you organize and publish content in BinPad. Visualize your own content in an intuitive, amazing way. The public version is coming soon. Examples of a Curriculum Vitae and travel log created by BinPad Editor are provided."
"BinPad Editor is a tool that helps you organize and publish content in BinPad. Visualize your own content in an intuitive, amazing way. The public version is coming soon. Examples of a Curriculum Vitae and travel log created by BinPad Editor are provided."
The ctrl semantic engine is the first product of the Research and Development group at PRAGMATECH. The main functionality of ctrl's API is to identify the set of (disambiguated) key topics. In ctrl we have moved from words to concepts, then from simple concepts to topics (which are not phrases, but complex 'disambiguated' concepts), and, subsequently, to key topics that represent what a certain document is about.
START, the world's first Web-based question answering system, has been on-line and continuously operating since December, 1993. It has been developed by Boris Katz and his associates of the InfoLab Group at the MIT Computer Science and Artificial Intelligence Laboratory. Unlike information retrieval systems (e.g., search engines), START aims to supply users with "just the right information," instead of merely providing a list of hits. Currently, the system can answer millions of English questions about places (e.g., cities, countries, lakes, coordinates, weather, maps, demographics, political and economic systems), movies (e.g., titles, actors, directors), people (e.g., birth dates, biographies), dictionary definitions, and much, much more. Below is a list of some of the things START knows about, with example questions. You can type your question above or select from the following examples.
ProductDB aims to be the World's most comprehensive and open source of product data. Not only do we want to create a page for every product in the world, we want to connect the underlying structured data together into one huge interlinked dataset... read more
