Florida Neighborhoods: Connecting Our Yards to Florida’s Water

Our yards and neighborhoods are channels to our waterways. Your yard is the fi rst line of defense for preserving Florida’s fragile environment. The health of Florida’s estuaries, rivers, lakes, springs and aquifers depends partly on how you landscape and maintain your yard. You don’t even have to live on the water to make a big difference. Rain that falls on yards, roads and parking lots can wash into waterways or leach into ground water, carrying pollutants — including fertilizers, pesticides, animal waste, soil and petroleum products. Improperly applied fertilizers and pesticides from residential areas pose a serious threat to the health of Florida’s waters.

Creating Your Florida-Friendly Yard
A Florida-Friendly Yard doesn’t merely offer good-looking landscapes; it also becomes an asset to the environment, protecting natural resources and preserving the state’s unique beauty. Recognizing that the home landscape is part of a larger natural system will help in creating a Florida-Friendly Yard. Designing an aesthetically pleasing Florida-Friendly Yard begins with good decisions based on what you and your landscape require:

The Technologies

The third common use of the term Semantic Web is to identify a set of technologies, tools and standards which form the basic building blocks of a system that could support the vision of a Web imbued with meaning. The Semantic Web has been developing a layered architecture, which is often represented using a diagram first proposed by Tim Berners-Lee, with many variations since. Figure 1 gives a typical representation of this diagram.

• While necessarily a simplification which has to be used with some caution, it nevertheless gives a reasonable conceptualisation of the various components of the Semantic Web. We describe briefly these layers.
• Unicode and URI: Unicode, the standard for computer character representation, and URIs, the standard for identifying and locating resources (such as pages on the Web), provide a baseline for representing characters used in most of the languages in the world, and for identifying resources.

The Semantic Web has lived its infancy as a clearly delineated body of Web documents. That is, by and large researchers working on aspects of the Semantic Web knew where the appropriate ontologies resided and tracked them using explicit URLs. When the desired Semantic Web document was not at hand, one was more likely to use a telephone to find it than a search engine. This closed world assumption was natural when a handful of researchers were developing DAML 0.5 ontologies, but is untenable if the Semantic Web is to live up to its name. Yet simple support for search over Semantic Web documents, while valuable, represents only a small piece of the benefits that will accrue if search and inference are considered together. We believe that Semantic Web inference can improve traditional text search, and that text search can be used to facilitate or augment Semantic Web inference. Several difficulties, listed below, stand in the way of this vision.

THE SEMANTIC WEB

In the current Web, Web pages are intended for human consumption. The content is encoded in HTML which provides manly formatting information and makes it difficult for machines to access the semantics of the content. Natural language processing would be needed to do so. To overcome this limitation the SemanticWeb aims to make theWeb’s content machine-processable. Tim Berners-Lee et al. define the Semantic Web as an extension of the Web, in which information is given well-defined meaning, better enabling computers and people to work in cooperation [2].

Since the Semantic Web provides machine-processable information based on a formal semantics, data can be shared and reused across application, enterprise, and community boundaries [11]. Therefore, two applications that support the same ontology are able to exchange data even if they were not meant to interoperate in the first place.

Introduction
The current evolution of the Web can be characterized from various perspectives [Jasper & Uschold 2001]:

Locating Resources: The way people find things on the Web is evolving from simple free text and keyword search to more sophisticated semantic techniques both for search and navigation.

Users: Web resources are evolving from being primarily intended for human consumption to being intended for use both by humans and machines .

Web Tasks and Services: The Web is evolving from being primarily a place to find things to being a place to do things as well [Smith 2001].

All of these new capabilities for the Web depend in a fundamental way on the idea of semantics. This gives rise to a fourth perspective along which the Web evolution may be viewed:

• Semantics—The Web is evolving from containing information resources that have little or no explicit semantics to having a rich semantic infrastructure.

Deeper into the passthroughs
Now there are a few things you should know about the different methods of *Me’s. I will try not to get technical since that would only confuse people new to the scene.

PassMe and PassMe2
There are two versions of PassMe: the original PassMe from Natrium42, and PassMe2. A PassMe(v1) only works if your DS has firmware version 1,2 or 3.

A workaround was made and the PassMe2 was born. There is one difficulty with the PassMe2 and that is that it requires SRAM (memory) on the GBA media that you boot your homebrew code from.

• PassMe/PassMe2 leaves your warranty intact.
• PassMe and PassMe2 require an original DS game to work (PassMe2 needs to be flashed to the original game you use).
• PassMe/PassMe2′s are made by different companies under different names, SuperPass, SuperKey, NeoKey, etc., but if you can, try to buy them from a developer and thus supporting homebrew development