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  • == What is an Ontology? == ...of interpretation by both humans and computers[ NCBO] .
    1 KB (188 words) - 17:15, 24 January 2013

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  • Mashup Editor has a steeper learning curve and can do much more than Yahoo! Pipes. However the need to be profic ...XHTML. Developers can directly embed meta-data from various models such an ontology, taxonomy or a tag cloud into their API descriptions. The embedded meta-dat
    18 KB (2,860 words) - 15:12, 20 April 2011
  • ...g Radicalization on Social Media using Knowledge-infused and Context-aware Learning]] * [[DAO]]: Drug Abuse Ontology
    9 KB (1,111 words) - 10:56, 15 December 2020
  • ==<b>Drug Abuse Ontology</b>== see here for our work on [ Drug Abuse Ontology.]
    19 KB (2,618 words) - 19:11, 11 November 2020
  • Semantic (Web) Technology In Action: Ontology Driven Information Systems for Search, Integration and Analysis], IEEE Data and by a variety of information-retrieval, statistical, and AI (machine learning and natural-language processing) techniques, at the Web scale. Semantic ana
    26 KB (3,817 words) - 17:24, 24 May 2017
  • required. Figure 2 shows an annotation referring to an ontology from from Ruby) but lacks an ontology’s
    14 KB (2,071 words) - 15:59, 30 July 2010
  • ...loged at the [ US National Center for Biomedical Ontology] ). Semantic models such the nonfunctional/system/ ontology
    22 KB (3,193 words) - 15:34, 3 August 2010
  • typically as an ontology. Then, we extract relevant use them to populate the ontology. Finally, we
    20 KB (3,011 words) - 18:12, 27 February 2014
  • The Semantics conveyed by ontology schemas ex-pressed in RDFS ( or OWL (http: ...seen as a top-down approach to relationship extraction. Beginning with an ontology schema containing a rich set of named relationships (and their synonyms), w
    24 KB (3,561 words) - 17:20, 22 November 2010
  • ...rocessing tool that allows biologists to formulate complex queries without learning the query language syntax. We demonstrate the significance of SPSE by usin ...ow complex SPARQL queries can be formulated easily with minimal skills and ontology background.
    8 KB (1,115 words) - 19:49, 11 July 2011
  • ...iption logics in the case of OWL-DL. It is very difficult to keep a single ontology logically consistent while maintaining high expressiveness and high connect ...ocks of knowledge that are not supposed to change frequently. The field of ontology was concerned with the essence and categorization of things, not with the t
    39 KB (6,172 words) - 22:36, 11 January 2013
  • ...ning course, open to registered members of the official American Red Cross learning management platform, takes two hours online. After completion, participant ...takeholders in emergency response. Step one is to create a common, modular ontology leveraging knowledge of these differences and flexible data management. The
    23 KB (3,252 words) - 21:13, 29 September 2014
  • ...logy KnoEO of the concepts and relationships concerned with an event. This ontology must be general enough so that it can be used on various events. Here is an ...construct a lexicon of words expressing relationships defined in the event ontology, and on the other hand, we extract the relationship indicators (e.g., the v
    9 KB (1,431 words) - 00:13, 20 November 2011
  • *Machine Learning *Ontology Development.
    12 KB (1,688 words) - 20:33, 11 December 2014
  • ...of Semantics in Computer Science, from the formal, top-down approaches in ontology engineering to the bottom-up approaches of social knowledge accumulation th * [[Human Performance and Cognition Ontology]]
    8 KB (1,093 words) - 22:43, 11 January 2013
  • ...on vocabularies. An example of a common vocabulary is the Dublin Core (DC) ontology, a set of universally accepted metadata used to describe a resource (e.g. d ...and mappings between terms having the same meaning. Taxonomies, a form of ontology, can express simple relationships in the materials domain.
    35 KB (5,077 words) - 20:54, 23 November 2015
  • ...n the Web, this knowledge is aligned with concepts in the DOLCE Ultra Lite ontology[]. Figure 1 provides a simple examp ...tructure learning that derives qualitative dependencies and (ii) parameter learning that quantifies dependencies. We have investigated how to combine these app
    61 KB (8,752 words) - 18:31, 23 October 2014
  • ...the observation (note: prefix ssn is used to denote concepts from the SSN ontology). A feature (ssn:Feature) is an object or event in an environment, and a p ...tructure learning that derives qualitative dependencies and (ii) parameter learning that quantifies dependencies. We have investigated how to combine these app
    50 KB (7,247 words) - 18:36, 1 August 2014
  • ..., such as the Semantic Web, Natural Language Processing (NLP), and Machine Learning (ML), to advance the analysis of social media data for drug abuse epidemiol * [[DAO]]: Drug Abuse Ontology
    18 KB (2,453 words) - 21:33, 18 September 2020
  • ...cus term, we check whether there is a direct match to a class label in the ontology as the type. If a candidate type is not found, we further analyze focus ter ...D.H.: Knowledge acquisition via incremental conceptual clustering. Machine learning 2(2), 139–172 (1987) <br>
    14 KB (2,314 words) - 16:16, 11 April 2016
  • mind. This conceptual knowledge, represented formally in the form of an ontology, can be used to annotate data and infer new knowledge from interpreted data ...on to form additional input for the CC system. CC systems utilize machine learning and other AI techniques in achieving all this without being explicitly prog
    24 KB (3,538 words) - 20:33, 21 May 2015

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