Social Semantic Cloud of Tags

Archive for the ‘Uncategorized’ Category

How Do Citronella Collars Work?

Friday, August 5th, 2011

Just how do citronella bark collars work? Like every other receiver collar, they can fit around a dog’s neck – easily adjustable for safety and comfort. However, unlike standard collars, these have a microphone and reservoir that holds a citronella mist. Once the dog barks, the microphone will get the seem and spray an excellent citronella mist in to the air. Dogs possess a keen olfaction and get fragrances rapidly and simply. The scent of citronella is extremely offensive and undesirable to dogs. The citronella spray, inside the collar reservoir, is totally safe and will not cause any injury to your pet, humans, or other plants that your dog might be around or interact with. Use of this collar will rapidly train your pet that his/her woofing triggers the undesirable perfumed spray, thus if he/she doesn’t bark, there won’t be any spray. Effective and humane training made very easy and simple.

Frequently present in insect repellents, citronella is-natural and based on an extremely aromatic grass based in the southern nations of Asia. When the plant is processed, it is really an all-natural oil with lots of uses, including the use in a citronella collar. This is among the best and many humane training products currently available, a lot more effective and humane than other such products like a shock collar.

Precisely how effective are citronella bark collars? They are among the greatest ranked effective training products currently available. They may be used with similar effectiveness on all dimensions and kinds of dogs. Bear in mind that no device is 100% however, the citronella bark collars are extremely close. These collars will be to train your pet to prevent unnecessary and continuously pointless woofing. You should bear in mind that the dog might be woofing because something is wrong – health-smart or some other reasons requiring attention.

The citronella bark collar is really are a highly desirable approach to training, especially over other products for example shock collars. Rather than getting a shock or jolt directly with each bark, just like a surprise collar, your pet is going to be corrected by having an all-natural and eco-friendly spray of citronella. Yes, the present within shock collars could be modified, however just the idea of this process brings chills to a lot of dog lovers. It’s because of this that citronella bark collars would be the perfect and also the most loving method to train your pet to prevent excessive and nuisance barking and cease this interfering with behavior once and for all. Enjoy time spent together with your pet, rather than wasting that point in frustration and anger.


Papers about Tag Ontologies

Wednesday, July 27th, 2011

We wrote two papers about tag ontologies. There are many efforts to bridge between social tagging and Semantic Web technologies. Although we focused on representation issues of tagging activities, it might be useful to know current efforts.

1. Hak-Lae Kim, Alexandre Passant, John Breslin, Simon Scerri, Stefan Decker, Review and Alignmnet of Tag Ontologies for Semantically-Linked Data in Collaborative Tagging Spaces, In Proceedings of the 2nd International Conference on Semantic Computing, San Francisco, USA, 2008.

Abstract. As the number of Web 2.0 sites offering tagging facilities for the users’ voluntary content annotation increases, so do the efforts to analyze social phenomena resulting from generated tagging and folksonomies. Most of these efforts provide different views for the understanding of various web activities. Results from various experimental research should be utilized to improve existing approaches underlying tagging data and contribute further to weaving the Web. However, in practice, there are not enough solutions taking advantage of these results. Even though we can mine social relations via tagging data, it proves no worth for users if this data cannot be reused.

In this paper we propose a solution for tag data representation which allows data reuse across different tagging systems. To achieve this goal, we analyze current social tagging practices, existing folksonomy usage as well as Semantic Web approaches to data annotation and tagging. We survey and compare existing tag ontologies in an attempt to investigate mapping possibilities between different conceptual models. Finally, we present our method for federation among existing ontologies in order to generate re-usable, semantically-linked data that will underly tagging data.

2. Hak-Lae Kim, Simon Scerri, John Breslin, Stefan Decker, Hong-Gee Kim, The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies, In Proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, Germany, 2008.

Abstract. There is a growing interest on how we represent and share tagging data for the purpose of collaborative tagging systems. Conventional tags are not naturally suited for collaborative processes. Being free-text keywords, they are exposed to linguistic variations like case (upper vs lower), grammatical number (singular vs. plural) as well as human typing errors. Additionally, tags depend on the personal views of the world by individual users, and are not normalized for synonymy, morphology or any other mapping. The bottom line of the problem is that tags have no semantics whatsoever. Moreover, even if a user gives some semantics to a tag while using or viewing it, this meaning is not automatically shared with computers since it’s not defined in a machine-readable way. With tagging systems increasing in popularity each day, the evolution of this technology is hindered by this problem, since tagging metadata is not readily generated and shared. In this paper we discuss approaches to represent collaborative tagging activities at a semantic level, and present conceptual models for collaborative tagging activities and folksonomies. We present criteria for the comparison of existing tag ontologies and discuss their strengths and weaknesses in relation to these criteria.