Posts Tagged ‘semantic’

Drupal Deepens Semantic Web Ties

semtechbiz-10th-125sqAmong the mainstream content management systems, you could make the case that Drupal was the first open source semantic CMS out there. At next week’s Semantic Technology and Business Conference, software engineer Stéphane Corlosquet of Acquia, which provides enterprise-level services around Drupal, and Bock & Co. principal Geoffrey Bock will discuss in this session Drupal’s role as a semantic CMS and how it can help organizations and institutions that are yearning to enrich their data with more semantics – for search engine optimization, yes, but also for more advanced use cases.

“It’s very easy to embed semantics in Drupal,” says Bock, who analyses and consults on digital strategies for content and collaboration. At its core it has the capability to manage semantic entities, and in the upcoming version 8 it takes things to a new level by including schema.org as a foundational data type. “It will become increasingly easier for developers to build and deliver semantically enriched environments,” he says, which can drive a better experience both for clients and stakeholders.

Corlosquet, who has taken a leadership role in building semantic web capabilities into Drupal’s core and maintains the RDF module in Drupal 7 and 8, explains that the closer embrace of schema.org in Drupal is of course a help when it comes to SEO and user engagement, for starters. Google uses content marked up using schema.org to power products like Rich Snippets and Google Now, too.

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A Look At LOD2 Project Accomplishments

lod2pixIf you’re interested in Linked Data, no doubt you’re planning to listen in on next week’s Semantic Web Blog webinar, Getting Started With The Linked Data Platform (register here), featuring Arnaud Le Hors, Linked Data Standards Lead at IBM and chair of the W3C Linked Data Platform WG and the OASIS OSLC Core TC. It also may be on your agenda to attend this month’s Semantic Web Technology & Business Conference, where speakers including Le Hors, Manu Sporny, Sandro Hawke, and others will be presenting Linked Data-focused sessions.

In the meantime, though, you might enjoy reviewing the results of the LOD2 Project, the European Commission co-funded effort whose four-year run, begun in 2010, aimed at advancing RDF data management; extracting, creating and enriching structured RDF data; interlinking data from different sources; and authoring, exploring and visualizing Linked Data. To that end, why not take a stroll through the recently released Linked Open Data – Creating Knowledge Out of Interlinked Data, edited by LOD2 Project participants Soren Auer of the Institut für Informatik III Rheinische Friedrich-Wilhelms-Universität; Volha Bryl of the University of Mannheim, and Sebastian Tramp of the University of Leipzig?

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SPARQL And NoSQL: A Match On Many Levels

site-header-10th-blog-304x200Is SPARQL the SQL for NoSQL? The question will be discussed at this month’s Semantic Technology & Business Conference in San Jose by Arthur Keen, vp of solution architecture of startup SPARQL City.

It’s not the first time that the industry has considered common database query languages for NoSQL (see this story at our sister site Dataversity.net for some perspective on that). But as Keen sees it, SPARQL has the legs for the job. “What I know about SPARQL is that for every database [SQL and NoSQL alike] out there, someone has tried to put SPARQL on it,” he says, whereas other common query language efforts may be limited in database support. A factor in SPARQL’s favor is query portability across NoSQL systems. Additionally, “you can achieve much higher performance using declarative query languages like SPARQL because they specify the ‘What’ and not the ‘How’ of the query, allowing optimizers to choose the best way to implement the query,” he explains.

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What’s The Word On Enterprise Search?

Photo Credit: Sean MacEntee/ Flickr

Photo Credit: Sean MacEntee/ Flickr

Context is king – at least when it comes to enterprise search. “Organizations are no longer satisfied with a list of search results — they want the single best result,” wrote Gartner in its latest Magic Quadrant for Enterprise Search report, released in mid-July. The report also says that the research firm estimates the enterprise search market to reach $2.6 billion in 2017.

The leaders list this time around includes Google with its Search Appliance, which Google touts as benefitting from Google.com’s continually evolving technology, thanks to machine learning from billions of search queries. Also on that part of the quadrant is HP Autonomy, which Gartner says is “exceptionally good at handling searches driven by queries that include surmised or contextual information;”  and Coveo and Perceptive Software, both of which are quoted as offering “considerable flexibility for the design of conversational search capabilities, to reduce the ambiguity of results.”

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Cognitive Computing And Semantic Technology: When Worlds Connect

ccimageIn mid-July Dataversity.net, the sister site of The Semantic Web Blog, hosted a webinar on Understanding The World of Cognitive Computing. Semantic technology naturally came up during the session, which was moderated by Steve Ardire, an advisor to cognitive computing, artificial intelligence, and machine learning startups. You can find a recording of the event here.

Here, you can find a more detailed discussion of the session at large, but below are some excerpts related to how the worlds of cognitive computing and semantic technology interact.

One of the panelists, IBM Big Data Evangelist James Kobielus, discussed his thinking around what’s missing from general discussions of cognitive computing to make it a reality. “How do we normally perceive branches of AI, and clearly the semantic web and semantic analysis related to natural language processing and so much more has been part of the discussion for a long time,” he said. When it comes to finding the sense in multi-structured – including unstructured – content that might be text, audio, images or video, “what’s absolutely essential is that as you extract the patterns you are able to tag the patterns, the data, the streams, really deepen the metadata that gets associated with that content and share that metadata downstream to all consuming applications so that they can fully interpret all that content, those objects…[in] whatever the relevant context is.”

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Semantically Aligned Design Principles At Core of Australian Electronic Health Records Platform

site-header-10th-blog-304x200At the upcoming Semantic Technology & Business Conference in San Jose, Dr. Terry Roach, principal of  CAPSICUM Business Architects, and Dr. Dean Allemang, principal consultant at Working Ontologist, will host a session on A Semantic Model for an Electronic Health Record (EHR). It will focus on Australia’s electronic-Health-As-A-Service  (eHaas) national platform for personal electronic health records, provided by the CAPSICUM semantic framework for strategically aligned business architectures.

Roach and Allemang participated in an email interview with The Semantic Web Blog to preview the topic:

The Semantic Web Blog: Can you put the work you are doing on the semantic EHR model in context: How does what Australia is doing with its semantic framework compare with how other countries are approaching EHRs and healthcare information exchange?

Roach and Allemang: The eHaaS project that we have been working on has been an initiative of Telstra, a large, traditional telecommunications provider in Australia. Its Telstra Health division, which is focused on health-related software investments, for the past two years has embarked on a set of strategic investments in the electronic health space. Since early 2013 it has acquired and/or established strategic partnerships with a number of local and international healthcare software providers ranging from hospital information systems [to] mobile health applications [to] remote patient monitoring systems to personal health records [to] integration platforms and health analytics suites.

At the core of these investments is a strategy to develop a platform that captures and maintains diverse health-related interactions in a consolidated lifetime health record for individuals. The eHaaS platform facilitates interoperability and integration of several health service components over a common secure authentication service, data model, infrastructure, and platform. Starting from a base of stand-alone, vertical applications that manage fragmented information across the health spectrum, the eHaaS platform will establish an integrated, continuously improving, shared healthcare data platform that will aggregate information from a number of vertical applications, as well as an external gateway for standards-based eHealth messages, to present a unified picture of an individual’s health care profile and history.

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AlphaSense’s Advanced Linguistics Search Engine Could Buy Back Time For Financial Analysts To Do More In-Depth Research

alpha1When Raj Neervannan, CTO and co-founder of financial search engine company AlphaSense, thinks about search, he thinks about it “as a killer app that is only growing…..People want answers, not noise. They want to ask more intelligent questions and get to the next level of computer-aided intelligence.”

For AlphaSense’s customers – analysts at large investment firms and banks or any other industry, as well as one-person shops – that means search needs to get them out of ferreting through piles of research docs for the nuggets of information they really need. Neervannan knows the pain of trying to interpret a CEO’s commentary to understand what he or she was really saying when making the point that numbers were going down when referring to inventory turns. (Jack Kokko, former analyst at Morgan Stanley, is AlphaSense’s other co-founder.)

“You are essentially digging through sets of documents [using keyword search], finding locations of terms, pulling them in piece by piece and constructing a case as to what the company’s inventory turn was really like – what other companies’ similar information was, how that matches up. You have to do quantitative analysis and benchmarks, and it can take weeks,” he says.

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Financial Execs Worry About Data Lineage; Triple Stores Can Calm Fears

 

Photo courtesy: Flickr/ FilterForge

Photo courtesy: Flickr/ FilterForge

The Aite Group, which provides research and consulting services to the international financial services market, spends its fair share of time exploring the data and analytics challenges the industry faces. Senior analyst Virginie O’Shea commented on many of them during a webinar this week sponsored by enterprise NoSQL vendor MarkLogic.

Dealing with multiple data feeds from a variety of systems; feeding information to hundreds of end users with different priorities about what they need to see and how they need to see it; a lack of a common internal taxonomy across the organization that would enable a single identifier for particular data items; the toll ETL, cleansing, and reconciliation can take on agile data delivery; the limitations in cross-referencing and linking instruments and data to other data that exact a price on data governance and quality – they all factor into the picture she sketched out.

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Semantic Tech Takes On Grants Funding, Portfolio Management

octoimageWhether the discussion is about public grants funding or government agencies’ portfolio management at large, semantic technology can help optimize departments’ missions and outcomes. Octo Consulting, whose engagement with the National Institutes of Health The Semantic Web Blog discussed here, sees the issue in terms of integration and aggregation of data across multiple pipes, vocabularies and standards to enable grant-makers or agency portfolio-managers to get the right answers when they want to search to answer questions, such as whether grants are being allocated to the right opportunities and executed properly, or whether contracts are hired out to the right vendors or licenses are being duplicated.

Those funding public grants, for instance, should keep an eye on what projects private monies are going to, as well – a job that may involve incorporating data in other formats from other public datasets, social media and other sources in addition to their own information, in order to optimize decisions. “The nature of the public grant market is effectively understanding what the private grant market is doing and not doing the same thing,” says Octo executive VP Jay Shah.

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What’s Next For Watson Mobile Apps?

ibmwatsonlogoIBM’s quest to build Watson into a business (see our story here) took another step last week when the vendor announced the winners of its 2014 Watson Mobile Developer Challenge to create consumer and business apps with its cognitive computing capabilities.

The winners were GenieMD,  Majestyk Apps,  and Red Ant, whose solutions were focused respectively on the health care, educational and retail markets. But twenty-two other companies with innovative ideas of their own also made it to the finalist stage

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