The DARPA Agent Markup Language ( DAML ) was the name of a US funding program at the US Defense Advanced Research Projects Agency (DARPA) started in 1999 by then-Program Manager James Hendler , and later run by Murray Burke, Mark Greaves and Michael Pagels . The program focused on the creation of machine-readable representations for the Web.
12-573: DAML may refer to: DARPA Agent Markup Language , a markup language for the Semantic Web Digitally Added Main Line , a method for multiplexing , i.e. transmitting and receiving multiple telephone transmission signals over a single twisted pair Digital Asset Modeling Language , a "smart contract" language Topics referred to by the same term [REDACTED] This disambiguation page lists articles associated with
24-696: A neutral point of view , as is done in the Misplaced Pages . Current ontology research derived in part from DAML is leading toward the expression of ontologies and rules for reasoning and action . Much of the work in DAML has now been incorporated into RDF Schema , the OWL and their successor languages and technologies including schema.org Schema.org Schema.org is a reference website that publishes documentation and guidelines for using structured data mark-up on web-pages (called microdata ). Its main objective
36-400: A website is incorrect, it will show in this report. Some schema markups such as Organization and Person are commonly used to influence search results returned by Google's Knowledge Graph . There are a number of items that a web page can be marked up with using a Schema, with examples including: The following is an example of how to mark up information about a movie and its director using
48-442: Is to standardize HTML tags to be used by webmasters for creating rich results (displayed as visual data or infographic tables on search engine results) about a certain topic of interest. It is a part of the semantic web project, which aims to make document mark-up codes more readable and meaningful to both humans and machines. Schema.org is an initiative launched on June 2, 2011, by Bing , Google and Yahoo! (operators of
60-545: The Investigators working on the program was Tim Berners-Lee . Working with the program managers and other participants, Tim helped shape the effort to create technologies and demonstrations for what is now called the Semantic Web , leading in turn to the growth of knowledge graph technology. A primary outcome of the DAML program was the DAML language, an agent markup language based on RDF . This language
72-427: The deprecated Google Structured Data Testing Tool, or more recent Google Rich Results Test Tool, Schema.org Markup Validator, Yandex Microformat validator, and Bing Markup Validator can be used to test the validity of the data marked up with the schemas and Microdata. More recently, Google Search Console (formerly webmaster tools) has provided a report section for unparsable structured data. If any Schema code on
84-654: The meaning of the sites (see Semantic Web ). The initiative also describes an extension mechanism for adding additional properties. In 2012, the GoodRelations ontology was integrated into Schema.org. Public discussion of the initiative largely takes place on the W3C public vocabularies mailing list . Much of the vocabulary on Schema.org was inspired by earlier formats, such as microformats , FOAF , and OpenCyc . Microformats, with its most dominant representative hCard , continue (as of 2015) to be published widely on
96-461: The title DAML . If an internal link led you here, you may wish to change the link to point directly to the intended article. Retrieved from " https://en.wikipedia.org/w/index.php?title=DAML&oldid=1122478627 " Category : Disambiguation pages Hidden categories: Short description is different from Wikidata All article disambiguation pages All disambiguation pages DARPA Agent Markup Language One of
108-517: The web, where the deployment of Schema.org has strongly increased between 2012 and 2014. In 2015, Google began supporting the JSON-LD format, and as of September, 2017 recommended using JSON-LD for structured data whenever possible. Despite the advantages of using Schema.org, adoption remained limited as of 2016. A survey in 2016 of 300 US-based marketing agencies and B2C advertisers across industries showing only 17% uptake. Such validators as
120-607: The world's largest search engines at that time) to create and support a common set of schemas for structured data markup on web pages. In November 2011, Yandex (whose search engine is the largest in Russia ) joined the initiative. They propose using the schema.org vocabulary along with the Microdata , RDFa , or JSON-LD formats to mark up website content with metadata about itself. Such markup can be recognized by search engine spiders and other parsers , thus granting access to
132-577: Was a syntax, layered on RDF and XML , that could be used to describe sets of facts making up an ontology . DAML+OIL had its roots in three main languages - DAML, as described above, OIL (Ontology Inference Layer) and SHOE , an earlier US research project. A major innovation of the languages was to use RDF and XML for a basis, and to use RDF namespaces to organize and assist with the integration of arbitrarily many different and incompatible ontologies. Articulation ontologies can link these competing ontologies through codification of analogous subsets in
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#1732772358660144-703: Was followed by an extension entitled DAML+OIL which included researchers outside of the DARPA program in the design. The 2002 submission of the DAML+OIL language to the World Wide Web Consortium (W3C) captures the work done by DAML contractors and the EU / U.S. ad hoc Joint Committee on Agent Markup Languages. This submission was the starting point for the language (later called OWL ) to be developed by W3C's web ontology working group , WebOnt. DAML+OIL
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