Posts Tagged ‘Semantic’
Ontology Matching Workshop in Germany This Fall
The Sixth International Workshop on Ontology Matching will take place in October in Bonn, Germany. The workshop will bring leaders from all genres and backgrounds to assess how academic advances are or are not addressing real-world requirements when it comes to ontology matching.
Read MoreNatural Language Processing Focus of Singapore Symposium
The Fourth International Symposium on Languages in Biology and Medicine will be held in December in Singapore. This interesting forum will address natural languages as a means of scientific and professional communication.
Read MoreNew Version of ontoprise Products Released
Karlsruhe has released OntoBroker 6.1 and OntoStudio 3.1 as part of the ontoprise product suite, the only infrastructure supporting all major W3C SemanticWeb recommendations including OWL, RDF(s), RIF and ObjectLogic.
Read MoreAccessing Your Data is Important
A consortium of European organizations have united to provide a single view of drug discovery across several data sources with semantic technology.
Read MoreThe Allure of Semantics
The Journal of Bone & Joint Surgery, Inc. has launched a new online presence that includes new products and several new features.
Read MoreSemantic Technology Continues to Move Forward
I am the first to admit my handwriting is worse than ever, I can’t remember the last time I hand wrote a letter, and I swore I’d never text. Generations have clashed as those who mourn the loss of the pen and paper and those who use an abbreviated version of the English language attempt to co-exist in this techno-advanced world.
Read MoreTSMC and Atrenta Working Together
Atrenta has announced the deployment of a comprehensive soft IP qualification program using Atrenta’s SpyGlass platform.
Read MoreBreaking Down Automatic Metadata Generation/Extraction
There are two approaches to automatic metadata generation/extraction and within those, many variations. Generally speaking, the statistical approach types are Bayesian, vector, neural nets, automatic clustering, and the like. These methods work off the principle that if in a big set of data two words occur together frequently, then those words are related conceptually.atistical methods depend on the algorithms that the developer has come up with. Some vendors lock down the numerical recipes and provide few or no user controls. These systems usually require “training”. The way that they do this is to take a list of terms, often a thesaurus, taxonomy or authority file and a corpus of text. The system manager processes the inputs with spot checking and often manual intervention by a human subject matter expert. When the system has been trained, test queries are run to verify that the system is performing as desired on fresh content.
Read MoreJob Hunters Using Semantic Technology
For the job hunter, it consists of a few pieces of paper. With email, those may not even be printed. For the recruiter, it could be hundreds and hundreds of resumes, CVs, or even printed emails on leads – all for one open position. A new service for individuals is opening doors for early adopters to experience what job hunting could look like in the near future.
Read MoreSemantic Technology Can’t Work Without Solid Taxonomies
Springer Science+Business Media is extending its collaboration with TEMIS to work on semantic enrichment and content linking for the SpringerLink platform.
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