The test: Does the use of a hashtag create a likelihood of association or confusion with the products or services of a trade mark owner?
Trade mark law generally protects the trade mark owner against use of its trade mark without permission in a way that may create a likelihood of confusion or association with other similar products or services.
For years, the children's role-playing contest has held the trademark for the phrase, and the similarities between the marks and the goods of the parties are so great as to create a likelihood of confusion, lawyers from the trademark office said in an initial refusal letter.
I agree with the Straphangers Campaign's assessment that a future fully automated subway system devoid of humans creates a likelihood for unreported criminal activity and is incompatible with the needs of New Yorkers ("For Future Subway Riders, Automation at the Station," news article, Jan . 31.
"It is axiomatic and commonplace that the same word may be used as a trademark by different parties provided that such use does not create a likelihood of confusion on the part of relevant consumers," the app makers' lawyers, Orrick, Herrington and Sutcliffe, write in response to the infringement claims.
And a patent acquisition that creates or enhances market power and creates a likelihood of anticompetitive effects will raise significant concerns.
This alignment, together with the corresponding subset of the tree and a codon substitution model, was used to create a likelihood function (LF) which models selection using the PyCogent framework [ 73].
A confusingly similar mark will create a likelihood of confusion among consumers.
Trademark infringement occurs when a person uses the trademark of another and creates a "likelihood of confusion" about the origin of the infringing persons goods.
To create a likelihood-based framework for estimating disease risks associated with the genetic information and other possible factors available, we use here an approach where a population based ascertainment procedure is combined through a statistical model with the demographic data describing also the non-ascertained part of the target population.
