1 / 2

Good For Science:

. . Good For Science:. User X is my absolute favorite Pittsburgher. I refuse to go home to Pittsburgh unless User X is there to ease the pain of the awful big-haired reality that Pittsburgh is. I love User X a ton and am always interested to see what this girl is up to.

Télécharger la présentation

Good For Science:

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1.  Good For Science: User X is my absolute favorite Pittsburgher. I refuse to go home to Pittsburgh unless User X is there to ease the pain of the awful big-haired reality that Pittsburgh is. I love User X a ton and am always interested to see what this girl is up to. User Y, you can't have User Z. I love him too much. I too have hugged him and I never want to let go. He is my teddy bear and I want to have his babies. A little piece of me dies every time that I call and you don't answer. You know it was meant to be, you can't avoid the truth... Come back to me schnookums!!!! Well everyone..this is my OLDER sister User M...wat can i say about her? hmmmz..well first of all...shes scary even tho shes like a million times shorter than me! =P..and shes really really really EMBARASSING! and she says im boy crazy..YOU ARE ER! *wink wink* newaiz gonna go now..b4 u can read this @ home.. Bubiez...love ya er..see ya @ home....dont hurt me =)

  2. Semantic web technologies allow for easy integration of social networks Social networks (with or without trust) layered on top of provenance gives more information about the provenance and context of the data Large scale scientific participation in (one or many) social networks, with information about their relationships and preferences, will help us judge the quality of data and annotations based on provenance and our social preferences

More Related