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Items tagged with "concept web" (5)

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Blob nano publication as a way to explain rich triples

Created: 2009-10-23 07:32:36 | Last updated: 2009-10-25 20:38:34

Credits: User Barend User Jan Velterop Network-member Concept Web Alliance (general)

License: Creative Commons Attribution-Share Alike 3.0 Unported License

This paper can be used to explain what triples in our context are meant to be and to serve I will present the paper on the semantic web conference workshop 26th of November

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Comments: 0 | Viewed: 74 times | Downloaded: 73 times

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Groups (2)
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Network-member BioSemantics Privileged Users @ Human Gene...

Unique name: LeidenBioSemanticsUsers
Created: Wednesday 23 September 2009 01:10:24 (UTC)

Group of colleagues at the Human Genetics Department of the Leiden University Medical Centre and closely collaborating groups who are interested to be prime users of new developments in BioSemantics and e-Science, and in return are willing to provide feedback and suggestions. See http://biosemantics.org for more information about the BioSemantics collaboration in the Netherlands.

15 shared items   |   1 announcements

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Network-member BioSemantics

Unique name: biosemantics
Created: Thursday 30 June 2011 13:06:48 (UTC)

Group for members of the BioSemantics group and their close collaborators.BiosemanticsWith the explosion of information in the biomolecular field, there is a dire need for information technology that assists in retrieving, extracting, and relating information and knowledge in the biomedical literature and databases. Biosemantics researchers and developers develop, evaluate, and apply such techn...

70 shared items   |   0 announcements

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Workflows (2)

Workflow Match gene lists based on information in l... (7)

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[THIS WORKFLOW IS IN BETA STAGE] This workflow computes the match between two lists of Entrez Gene Identifiers by means of concept profile matching (Jelier et al., van Haagen et al.). The result of this is a list of concepts ordered by their matching score (the length of the list set by maxMatchNr). Of this list the summed scores are explained by computing the concepts that contribute most to the combination of the matching genes. Example to explain (by analogy): When a group of informatic...

Created: 2012-04-17 | Last updated: 2012-04-25

Credits: User Marco Roos User Reinout van Schouwen User Eleni User Kristina Hettne Network-member BioSemantics

Attributions: Workflow Match concept profiles Workflow Explain concept scores

Workflow OPS_FreetextToTargetInfo (1)

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Workflow to retrieve target information for the concepts as refered to by humans (the input). Known issues: It produces error values for the concepts returned by ConceptWiki that are apparently not present in OPS (e.g. for "ezh2" and limit=10, it gives 7/10 error values vs "ezh2 (homo sapiens)" giving 2 valid values).

Created: 2013-06-18

Credits: User Marco Roos User Katy Wolstencroft User paul groth

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Non-Information Resource URI: http://www.myexperiment.org/tags/1635


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