Posts Tagged ‘GoodRelations’

The Future of E-Commerce Data Interpretation: Semantic Markup, or Computer Vision?

How will webpage data be interpreted in the next few years?  The Semantic Web community has high hopes for ever evolving semantic standards to help systems identify and extract rich data found on the web, ultimately making it more useful.  With the announcement of Schema.org support for GoodRelations  in November, it seems clear semantic progress is now being made on the e-commerce front, and at an accelerated rate.  Martin Hepp, founder of GoodRelations, estimates the rate of adoption of rich, structured e-commerce data to significantly increase this year.

diffbot logo and semantic web cubeHowever, Mike Tung, founder and CEO of a data parsing service called DiffBot, has less faith that the standards necessary for a true Semantic Web will ever be completely and effectively implemented.  In an interview on Xconomy he states that for semantic standards to work correctly content owners must markup the content once for the web and a second time for the semantic standards.  This requires extra work, and affords them the opportunity to perform content stuffing (SEO spam).

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Announcing: Best Buy Product Catalog via Semantic Endpoints

Logo for BBYOpenA new resource has been announced on Best Buy’s BBYOpen blog: Metis Alpha. Like Best Buy’s earlier forays into Semantic Web use, this one started with a business problem. As the announcement states: “These days, consumers have a rich variety of products available at their fingertips. A massive product landscape has evolved, but sadly products in this enormous and rich landscape often get flattened to just a price tag. Over time, it seems the product value proposition, variety, descriptions, specifics, and details that make up products have all but disappeared. This presents consumers with a ‘paradox of choice’ where misinformed decisions can lead to poor product selections, and ultimately product returns and customer remorse.”

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Semantic Tech Checks In As The Holiday Shopping Begins

 

Photo credit: FlickR/crd!

 

With Thanksgiving Day, Black Friday and Small Business Saturday behind us, and Cyber-Monday right in front of us, it is clear the holiday season is in full force. Apparently, retailers – both online and real-world – are doing pretty well as a group when it comes to sales racked up.

Reports have it that e-commerce topped the $1 billion mark for Black Friday in the U.S. for the first time this year, with Amazon, Walmart, Best Buy, Target and Apple taking honors as the most visited online stores, according to ComScore. Consumers spent $11.2 billion at stores across the U.S. on Black Friday, said ShopperTrak, down from last year but probably impacted by more people heading out to more stores for deals that began on Thursday night. The National Retail Federation put total spending over the four-day weekend at a record $59.1 billion, up 13 percent from $52.4 billion last year.

Not surprisingly, semantic technology wants in on the shopping action. Social intelligence vendor NetBase, for instance, just launched a new online tool that analyzes the web for mentions of the 10 top retailers to show the mood of shoppers flocking to those sources. The Mood Meter, which media outlets and others can embed in their sites, ranks the 10 brands based on sentiment unearthed with the help of its natural language processing technology.  Read more

GoodRelations Fully Integrated with Schema.org

Schema.org and GoodRelations logosSchema.org has announced that GoodRelations is now fully integrated into the markup vocabulary backed by Google, Yahoo!, Bing/Microsoft, and Yandex (read our past schema.org coverage). GoodRelations is the e-commerce vocabulary that has been developed and maintained by Martin Hepp since 2002 (previous coverage).

In the official announcement, R.V. Guha (Google) says, “Effective immediately, the GoodRelations vocabulary (http://purl.org/goodrelations/) is directly available from within the schema.org site for use with both HTML5 Microdata and RDFa. Webmasters of e-commerce sites can use all GoodRelations types and properties directly from the schema.org namespace to expose more granular information for search engines and other clients, including delivery charges, quantity discounts, and product features.”

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Describing Classifieds with GoodRelations

GoodRelations, the web vocabulary for eCommerce, has shared specific instructions for how to describe classified ads as part of the GoodRelations Cookbook. This particular “recipe” begins, “The special challenge when exposing structured data for classified ads are the following: (1) You typically just have a headline, a body text, and incomplete contact information. (2) The exact identity of the offering party is unknown and often limited to a screen-name or just the phone number.” Read more

Schema.org adds “Additional Type” Property

schema-dot-org logoDan Brickley announced today that schema.org has added the property “additionalType” to the basic building block, schema.org/Thing. As Brickley says, “The additionalType property makes it possible for Microdata-based publishers to list several relevant types, even when the types are from diverse, independent schemas. This is important for schema.org as it allows our markup to be mixed with other systems, without making it too hard for consuming applications to interpret. A description can use a schema.org type as a base, but mention others (e.g. from DBpedia, Freebase, eventually Wikidata…) to improve the specificity and detail of the description.”

As RDFa already allows for use of multiple vocabularies (through the ‘typeOf’ attribute), it is recommended that RDFa publishers use that native syntax.

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SemTechBiz’s Schema.org Panel: Which Way Will It Go?

Perhaps one of the most anticipated panels at next week’s Semantic Technology & Business Conference in San Francisco is the Wednesday morning session on Schema.org. Since the announcement of Schema.org just prior to last year’s SemTech Business Conference on the west coast, using the Schema.org shared vocabularies along with the microdata format to mark up web pages has been much debated, and created questions in the minds of webmasters and web search marketers along the lines of, “Which way should we go? Microdata or RDFa?”

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Semantic Commerce: Structuring Your Retail Website for the Next Generation Web

Are you wondering why your product pages don’t stand out in search results like those from Amazon (shown below) or other competing e-commerce websites? These expanded results are commonly known as Rich Snippets (as named by Google) and are the result of having your HTML structured correctly with semantic markup. Whether you’re savvy to HTML5 and the latest design trends, or you haven’t updated your website code in years, this is article will explain why it’s important you structure your data properly utilizing semantic standards.

Sample of Rich Snippet result

There are a number of ways to structure your data to make it more relevant to search engines, as well as social media sites. As an e-commerce retailer it is important to understand which of these standards you should consider including in your website. You should take some time to ensure you are implementing semantic markup, and doing it correctly. It has the power to better inform potential customers with upfront knowledge prior to landing on your site. Customers can see product reviews, pricing and stock information, and even images before clicking through to your website. This can lead to increased click-through rates, improve conversions, and generally enhance your SEO objectives.

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Catching Up With Yandex: What Russia’s Leading Search Engine Has To Say About Schema.org

Update: Yandex today (April 26th) reported that net income in the first three months of 2012 rose 53 percent from the same period last year to 1.26 billion rubles ($43 million) as text-based advertising revenue rose, according to Bloomberg. Sales gained 51 percent to 5.9 billion rubles.

In November Russian search engine Yandex joined Google, Microsoft Bing, and Yahoo! to collaborate on schema.org. The Semantic Web Blog recently caught up by email with Alexander Shubin, Yandex product manager and head of strategic direction, to discuss this and other developments.

The Semantic Web Blog: Can you update us about how Yandex is doing? We know it’s still leading search traffic in Russia, but do you see more competition there, and how have international expansion plans been proceeding?

Shubin: Yandex is the leader in Russia with 59 to 60 percent market share. Russia is one of the few countries where a local search engine keeps a leading position, in spite of international players’ expansion.

Last year Yandex was launched in Turkey, where we suggest 12 services (including web search) so far. According to our statistics, yandex.com.tr processes more than 1 million queries daily. Turkey is the first non-Russian speaking market for us and we have done a lot of work to deliver services that would be interesting for the local community.  The main target for Yandex in Turkey, where one search engine still keeps 90 percent of search market, is to become the Number 2 player and to deliver more local search results and services than our competitor does.

Turkey is more or less an experiment for us: If we meet our target there, we can potentially do the same on any other non-Russian speaking market. But it is too early to make any conclusions or announcements so far as we have worked in Turkey only half of year. Stay tuned!

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Google Announces Updates to Rich Snippets

Google has announced two updates to rich snippets, the enhanced format that they announced in 2009 for displaying content in search results that use semantic markup.

The first update addresses an issue raised on answers.semanticweb.com in July of 2011. Prior to this update, only some places in the world saw rich snippets in their local results. Now product rich snippets is getting global support, meaning that users worldwide will be able to preview product information in the rich snippet. Here is an example from www.google.fr:

sample of rich snippet from Google France

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