Sig.ma – Live views on the Web of Data
From the website:
In Sig.ma, elements such as large scale semantic web indexing, logic reasoning, data aggregation heuristics, pragmatic ontology alignments and, last but not least, user interaction and refinement, all play together to provide entity descriptions which become live, embeddable data mash ups.
Read one of various versions of an article on Sig.ma for the technical details.
From the Web Technologies article cited on the homepage:
Sig.ma revolves around the creation of Entity Profiles. An entity profile – which in the Sig.ma dataflow is represented by the “data cache” storage (Fig. 3) – is a summary of an entity that is presented to the user in a visual interface, or which can be returned by the API as a rich JSON object or a RDF document. Entity profiles usually include information that is aggregated from more than one source. The basic structure of an entity profile is a set of key-value pairs that describe the entity. Entity profiles often refer to other entities, for example the profile of a person might refer to their publications.
No, this isn’t an implementation of the TMRM.
This is an implementation of one way to view entities for a particular type of data. A very exciting one but still limited to a particular data set.
This is a big step forward.
For example, it isn’t hard to imagine entity profiles against particular websites or data sets. Entity profiles that are maintained and leased for use with search engines like Sig.ma.
Or going a bit further and declaring a basis for identification of subjects, such as the existence of properties a…n in an RDF graph.
Questions:
- Spend a couple of hours with Sig.ma researching library related questions. (Discussion)
- What did you like, dislike or find surprising about Sig.ma? (3-5 pages, no citations)
- Entity profiles for library science (Class project)
[…] On entity profiles, see: Sig.ma. […]
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