Posts Tagged ‘structured data’

Google Launches schema.org Markup Support for Business Contact Info

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Yesterday, the Google Webmaster Central blog reported, “We are launching support for schema.org markup to help you specify your preferred phone numbers using structured data markup embedded on your website. Four types of phone numbers are currently supported: Customer service; Technical support; Billing support; Bill payment. For each phone number, you can also indicate if it is toll-free, suitable for the hearing-impaired, and whether the number is global or serves specific countries. Learn how to specify your national customer service numbers.” Read more

Hopper Opens Travel Database to the Public

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Sean O’Neill of Tnooz reports, “Last week saw the soft launch of Hopper, the long-awaited consumer trip planning engine that claims to be powered by the ‘world’s largest structured database of travel information’. Since last summer, the site has put wannabe users on a waiting list, allowing only a handful to become beta testers. But as of now, the bouncer’s gone. Anyone can create an account, road-test tools, and book flights. Founded in 2007 and based in Boston and Montreal, the company has 23 full-time employees and has received more than $22 million in funding from backers such as Brightspark, Atlas Venture, and OMERS Ventures. It claims to have breakthrough semantic search technology.” Read more

Google’s Structured Data Dashboard Now Offers Markup Error Reports

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According to a new post by Mariya Moeva on the Google Webmaster Blog, “Since we launched the Structured Data dashboard last year, it has quickly become one of the most popular features in Webmaster Tools. We’ve been working to expand it and make it even easier to debug issues so that you can see how Google understands the marked-up content on your site. Starting today, you can see items with errors in the Structured Data dashboard. This new feature is a result of a collaboration with webmasters, whom we invited in June to>register as early testers of markup error reporting in Webmaster Tools. We’ve incorporated their feedback to improve the functionality of the Structured Data dashboard.” Read more

Leveraging Structured Data in E-Commerce

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Barbara Starr of Search Engine Land recently wrote, “Ever since the Hummingbird update, there has been a ton of Internet buzz about entity search. What is entity search? How does it work? And what exactly is an ‘entity’? However, the topic of entity search as it relates to e-commerce and Google Shopping has been neglected. Everything you have learned to date about entity search, semantic search and the semantic Web also applies to e-commerce. The big difference in the shopping vertical compared to other search verticals is that all entities searched for are of the same type. Every product in Google is, in fact, an entity of type ‘product.’ It should therefore be treated and optimized as such.” Read more

The Promise of Natural Language Processing

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Nathan Safran of Search Engine World recently wrote, “The early days of search required that users query a search engine in query -> database format. That is, to extricate relevant results, the user must phrase the query in such a way that the machine can understand the request, query the database, and return results. Along the way many have claimed to solve this machine language problem, promising users can use natural language processing – the normal everyday language humans use as opposed to the ‘query a database’ language search has traditionally required (remember Ask Jeeves?).” Read more

Hello, Good-Bye at Wikidata

rsz_wikidLast week saw Denny Vrandecic leave Wikidata as director of the project that as of last week passed a milestone of 20 million statements and as of this Monday saw the creation of its fifteen-millionth item, about a Wikipedia category related to beetles. This week also sees Lydia Pintscher, community communications for technical projects including Wikidata, take on the responsibility of product manager for Wikidata.

In a farewell blog post, entitled Data For the People, Vrandecic provided his thoughts about how far Wikidata has come, as well as the possibilities and challenges that lie ahead.

The Semantic Web Blog caught up with Vrandecic, who spoke at the recent SemTech in San Francisco in June, for a little more perspective on the future – Wikidata’s and his own. When it comes to what he’d note as is accomplishments, Vrandecic said that he usually would name the size of the project, citing Wikidata’s community of 3,900 active editors, of whom a third have not been contributors to Wikimedia projects before. “This is, after Wikipedia and Commons, the third-largest Wikimedia project.

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Analysis of Brand-Related Knowledge Graph Search

Depiction of entities connected in the Google Knowledge GraphIn a recent post on the Moz.com blog, Dr. Peter J. Myers wrote about an apparent change that took place on the morning of July 19th that appears to be related to how Google processes Knowledge Graph entities. “My gut feeling is that Google has bumped up the volume on the Knowledge Graph, letting KG entries appear more frequently,” Myers posted.

The morning of July 19th was specifically identified because, Myers explained, “Overnight, the number of queries we track in the MozCast 10K beta system that show some kind of Knowledge Graph jumped from 17.8% to 26.7%, an increase of over 50%. This was not a test or a one-day fluke — here’s a graph for all of July 2013 (as of August 20th, the number has remained stable near 27%).

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Bioinformatics Big Data Startup InterpretOmics Raises $1.6M

Anand Rai of Tech Circle reports, “Bangalore-based InterpretOmics India Pvt Ltd, a Big Data startup focused on bioinformatics, has raised Rs 10 crore ($1.6 million) in angel funding from Amarante, a Singapore-based shipping company, and two unnamed Indian investors. The funds will be used for product development, research and marketing. The company was founded in 2009 by Prahalad H. Achutharao (CEO) and Asoke Talukder (chief scientific officer). Achutharao had earlier worked at Infosys, Verari Systems and other companies. He holds an MS degree in Computer Science from the University of Alabama at Birmingham (US) and a BE degree in Electrical Engineering from Karnataka University. Prior to InterpretOmics, Talukder also worked with several companies such as Sobha Renaissance, Tyfone Communications Development India, Cellnext Solutions, Bluestar Infotech and Mindware.” Read more

Google’s Next Steps To Build Structured Data Buy-In

Google’s Data Highlighter, its take at making it easier to let the search engine know about the structured data behind web pages, is adding more highlights. Data Highlighter (which The Semantic Web Blog originally covered here) now can teach Google the pattern of structured data about products, local businesses, articles, software applications, movies, restaurants, and TV episodes in addition to events.

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Vodacom deploys Ontology for advanced Service Impact Analysis

Ontology Systems, the semantic search company for structured enterprise application data, announce Vodacom SA , the leading South African mobile service provider, has deployed Ontology to enhance their service assurance operations.

Ontology provides Vodacom with a comprehensive Service Assurance solution for Change Management and Fault Management operations. The solution provides a correlated view of Vodacom’s transport network (SDH and MPLS) topology in relation to Vodacom’s RAN network and Vodacom Business information in Siebel CRM that: Read more

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