FFAQ

= Abbreviated FAQ (Frequently Frequently Asked Questions) =

NOTE: This is not the entire FAQ, but rather a condensed version that aims to answer the most common questions people have about GoodRelations. If you don't find the answer to your question here, please see the full FAQ.

How can I add GoodRelations to my Web site?
Web shop software: For many popular shop applications (e.g. Magento, Joomla/Virtuemart, Wordpress/WPEC, Prestashop,...), there exist free extension modules that make adding GoodRelations RDFa for semantic SEO as easy as a few mouse-clicks. That is by far the simplest way of adding GoodRelations to your site, so make sure you check the current list of available modules first.

If your software package is not listed there, you should ask your vendor to add GoodRelations using this recipe. We provide free support for this!

CMS or static HTML for a store, restaurant, or company site: The easiest way is to use the on-line snippet generator tool that creates the markup for GoodRelations automatically - ready for copy-and-paste. Or follow the quickstart recipe.

Markup examples for special industries are given in the GoodRelations Cookbook.

What is the difference to schema.org and microdata?
schema.org is an entry-level markup for adding structured information to sites, currently understood, in microdata syntax only. GoodRelations is a much more powerful language, equally supported by traditional search engines, but also by mobile applications, browser extensions, and novel Web 3.0 applications.

With GoodRelations, you can
 * 1) describe your business in more detail than with schema.org (e.g. you can publish shipping charges, quantity discounts, product features, or opening hours),
 * 2) feed a larger number of clients and applications, and
 * 3) use powerful extensions for your vertical industry, e.g. automotive, restaurants, real estate, or similar.

What is the difference to hProduct/hListing microformats?
Microformats are a basic technique that aims at embedding meta-data about Web content in socially agreed "class" properties in HTML. While a bit simpler than RDFa or microdata syntaxes at first view, microformats have significant technical limitations:


 * Microformats use a fixed level of detail ("data granularity"); if you have more data, that is lost, if you have less, you must first improve your data. See also the page on dynamic data granularity.
 * Data from multiple pages (e.g. datasheets from the manufacturer and offers from retailers) cannot be combined easily.
 * Microformats markup is tied to the organisation of the visible content, which violates the principle of "separation of concerns" and is not feasible for non-trivial data structures.
 * The overloading of the HTML "class" property can have unintended sideeffects with stylesheets.

hProduct and hListing are microformat specifications for e-commerce that suffer from the technical limitations above. While some microformat specifications (e.g. hCard and hRecipe) have gained remarkable adoption for simple data structures despite these limitations, e-commerce data is inherently more complex.

In a nutshell, GoodRelations is a technically superior technique for adding e-commerce data to your Web site. Also, the big search engines have just renewed their support of GoodRelations, while microformats are only maintained as a legacy.

What is the difference to XML Schemata for E-Business?
XML schemas for E-Business, like BMEcat, ARTS XML, UBL are syntactic specifications for automated data interchange.

They are established techniques for exchanging business data between business partners that know each other and have manually initiated the exchange of respective files or streams. However, XML schemas don't work well for the early stages of business transactions, e.g. with new, potential suppliers or customers, because of the substantial effort for setting up and customizing a respective data interchange.

Also, XML schemas are inherently rigid, because they specify a single syntactic representation for the data.

In a nutshell, GoodRelations is much better suited for exchanging product or offer data with a huge number of unknown consumers over the Web.

If you have XML-based product or offer data, you can easily convert this into the GoodRelations format. For BMEcat, for instance, there is a powerful tool freely available.

What is Semantic SEO?
Semantic Search Engine Optimization (Semantic SEO) is the use of techniques from the Semantic Web technology stack for


 * 1) sending detailed information about the meaning of your page content to search engines and other data consumers,
 * 2) in a way that can be easily processed by computers.

In the narrower sense, Semantic SEO means using structured data, expressed using shared Web vocabularies like GoodRelations, to improve the appreciation of your value proposition by search engines. While traditional SEO tries to bring your page on a top rank of the organic search results for a broad range of Web users, Semantic SEO aims at bringing you on top of the results for exactly those Web users that match your products or services best.

Give the huge number of sites for a given topic, it is clear that only a few can be among the top listings. It is impossible for everybody to be top dog for everybody. With Semantic SEO, you can make your message heard by those Web users who would draw the most utility of your services.

Semantic SEO can be regarded as a branch of "Data Marketing", a term first coined by Scott Brinker. See his original post "Data as a new marketing channel".

How does GoodRelations relate to the Semantic Web and Linked Data?
GoodRelations is fully compatible with all related Semantic Web standards and can be used in Linked Data Scenarios, but it does not require the Semantic Web vision to become a reality. In technical terms, it is an OWL1 DL valid Web ontology available in RDF/XML syntax.

Since GoodRelations is a conceptual model for e-commerce data, it is not tightly bound to the broad diffusion of Semantic Web techniques. One could use GoodRelations in a variety of syntactical forms.

Who is behind GoodRelations?
GoodRelations was initially created by Martin Hepp during the years of 2007 and 2008, based on a lot of earlier work from 2000 onwards, namely the eClassOWL vocabulary for product and services types.

Martin Hepp is now a professor of General Management and E-Business at the Universität der Bundeswehr München, where he heads the E-Business and Web Science Research Group.

The Universität der Bundeswehr München is a public research university operated and funded by the Federal Republic of Germany. As a public institution, we are financially independent from short-term commercial interests and provide the long-term stability necessary to secure your investment into adopting a new technology.

Many organizations and individuals have since supported the work on the GoodRelations vocabulary. Please honor their help by visiting this page.