NEW YORK, April 10, 2014 / PRNewswire / — In my last blog entry, I covered the announcement of the IBM Watson Mobile Developer Challenge. The Watson Mobile Developer Challenge is designed to catalyze mobile developers to explore the opportunity around mobile cognitive computing – bringing the power of Watson to a smartphone or other mobile device. Entrants submit proposals for mobile apps, and the finalists – to be announced at IBM Impact 2014 - will receive access to IBM Interactive Studios experts and Watson APIs in order to bring their vision to reality. Read more
Steve O’Hear of TechCrunch reports, “Dublin-based Seevl has released an API for developers to let them easily add music recommendations and artist data to their apps. The new offering gives app makers access to some of the underlying technology that currently powers the Seevl consumer-facing app, which is a cross-service music discovery offering that gives music recommendations and lets you build ‘mix tapes’, amongst a plethora of music-related features. The Seevl API is powered by the startup’s own music meta-data graph, which itself is built on top of Freebase, Wikipedia and MusicBrainz, and uses Seevl’s in-house semantic technologies and recommendation and search algorithms — both founders, Alexandre Passant and Julie Letierce, previously worked at the renowned Semantic Web R&D lab DERI.” Read more
A new article out of Information Daily reports, “Milton Keynes may see driverless cars on its roads in 12-18 months, says Geoff Snelson, Strategy Director of MK Smart, the innovation programme being run in the city. The driverless two-person pods are one of the outputs of the MK Smart programme, which is a collaboration between a number of organisations including the Open University (which is located in Milton Keynes) and BT. Central to the project is the creation of the ‘MK Data Hub’, which will support the acquisition and management of vast amounts of data relevant to city systems from a variety of data sources. As well as transport data, these will include data about energy and water consumption, data acquired through satellite technology, social and economic datasets, and crowd-sourced data from social media or specialised apps. Building on the capability provided by the MK Data Hub, the project will innovate in the areas of transport, energy and water management, tackling key demand issues.” Read more
NEW YORK–(BUSINESS WIRE)–DataArt, a leading custom software development company that builds advanced solutions for select industries, today announced the first results of DataArt ORANGE, a series of research and development projects that aim to automate the tracking of users’ nutrition habits. The DataArt ORANGE program automatically tracks calorie information by scanning photographs of food. DataArt ORANGE technology can currently recognize over 100 foods with an 85% success rate. Read more
Barbara Starr of Search Engine Land recently wrote, “Although there has been some argument within the academic community that the Semantic Web ‘never happened,’ it is blatantly clear that Google has adopted its own version of it. Other search and social engines have as well — I wrote an article back in September 2012 discussing how search and social engines are adopting the Semantic Web and semantic search, and gave a timeline of the adoption of semantic search by both the search and social engines. It was very apparent, even then, that the search engines were moving in the direction of becoming answer engines, and that they were increasingly leveraging the Semantic Web and semantic search technology.” Read more
Following the newly minted “recommendation” status of RDF 1.1, Michael C. Daconta of GCN has asked, “What does this mean for open data and government transparency?” Daconta writes, “First, it is important to highlight the JSON-LD serialization format. JSON is a very simple and popular data format, especially in modern Web applications. Furthermore, JSON is a concise format (much more so than XML) that is well-suited to represent the RDF data model. An example of this is Google adopting JSON-LD for marking up data in Gmail, Search and Google Now. Second, like the rebranding of RDF to ‘linked data’ in order to capitalize on the popularity of social graphs, RDF is adapting its strong semantics to other communities by separating the model from the syntax. In other words, if the mountain won’t come to Muhammad, then Muhammad must go to the mountain.” Read more
The CHAIN-REDS FP7 project, co-funded by the European Commission, has as a goal building a knowledge base of information, gathered both from dedicated surveys and other web and document sources, for largely more than half of the countries in the world, which it presents to visitors through geographic maps and tables. Earlier this month, its Knowledge Base and Semantic Search Engine for exploring the more than 30 million documents in its Open Access Document Repositories (OADR) and Data Repositories (DR) became available in a smartphone and tablet app, while the results of its Semantic Search Engine also now are ranked according to the January 2014 Ranking Web of Repositories. So, users conducting searches should see results in the order of the highest-ranked repositories.
The project has its roots in using semantic web technologies to correlate the data used to write scientific papers with the documents themselves whenever possible, says Prof. Roberto Barbera, of the Department of Physics and Astronomy at the University of Catania, as well as with applications that can be used to analyse the information. To drive to these ends, the CHAIN-REDS consortium semantically enriched its repositories and built its search engine on the related Linked Data. Users in search of information can get papers and data and, if applications are available, can be redirected to them on the project’s cloud infrastructure to reproduce and reanalyze the data.
“There is a huge effort in the scientific world about the reproducibility of science,” says Barbera.
Ikuya Yamada, co-founder and CTO of Studio Ousia, the company behind Linkify – the technology to automatically extract certain keywords and add intelligent hyperlinks to them to accelerate mobile search – recently sat down with The Semantic Web Blog to discuss the company’s work, including its vision of Semantic AR (augmented reality).
The Semantic Web Blog: You spoke at last year’s SEEDS Conference on the subject of linking things and information and the vision of Semantic AR, which includes the idea of delivering additional information to users before they even launch a search for it. Explain your technology’s relation to that vision of finding and delivering the information users need while they are consuming content – even just looking at a word.
Yamada: The main focus of our technology is extracting accurately only a small amount of interesting keywords from text [around people, places, or things]. …We also develop a content matching system that matches those keywords with other content on the web – like a singer [keyword] with a song or a location [keyword] with a map. By combining keyword extraction and the content matching engine, we can augment text using information on the web.
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