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
Posts Tagged ‘structured data’
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
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
Last 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.
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 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.
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
Waqar Hasan, who in a past life was vp for data platforms at Yahoo, hasn’t lost his fascination with the power a business can gain when it knows what to do with its data – make that its Big Data. Now CEO of InsightsOne, Hasan and his company are focused on making predictive analytics accessible to the general B2C marketing organization via the cloud.
Among its early customers is online review site Angie’s List, which in mid-January selected the cloud-based predictive analytics solution to deliver a 1-to-1 consumer marketing experience to its members.
“We’re targeting B2C marketers to increase the relevance and profitability of their consumer interactions, by applying micro-segmentation on Big Data to extract all sorts of signals from the data and turn it to a more powerful predictor for the future – who will buy what and who is likely to churn,” Hasan says.
NEXT PAGE >>