Posts Tagged ‘Excel’

Lexalytics’ Semantria Accommodates Text Analytics Abroad

lexsemInternational expansion has been a focus for cloud-based text and sentiment analytics vendor Semantria since its acquisition by text mining vendor Lexalytics over the summer. This week, that’s being addressed by adding enterprise text analytics servers in Europe, to address compliance with EU privacy laws around the location of personal data, as well as making its services available in Arabic, Russian, Japanese and Malay.

Lexalytics’ Semantria SaaS and Excel text-mining platform has a few clients in Europe so far, including among them several large social media monitoring and voice-of-the-customer clients that it’s signed up in the last quarter, according to Seth Redmore, VP Product & Marketing Lexalytics.  eDigitalResearch in the UK is one of them. English, French, German, Spanish, Portuguese and Italian are already among its supported languages, and Dutch should be next on board.

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Daedalus Takes Meaning-As-A-Service To Excel, GATE And CMS Systems

meaningasaserviceDaedalus (which The Semantic Web Blog originally covered here) has just made its Textalytics meaning-as-a-service APIs available for Excel and GATE (General Architecture for Text Engineering), a JAVA suite of tools used for natural language processing tasks, including information extraction in many languages. Connecting its semantic analysis tools with these systems is one step in a larger plan to extend its integration capabilities with more API plug-ins.

“For us, integration options are a way to lower barriers to adoption and to foster the development of an ecosystem around Textalytics,” says Antonio Matarranz, who leads marketing and sales for Daedalus. The three main ecosystem scenarios, he says, include personal productivity tools, of which the Excel add-in is an example, and NLP environments, of which GATE is an example. “But UIMA (Unstructured Information Management Applications) is also a target,” he says. The list also is slated to include content management systems and search engines, among them open source systems like WordPress, Drupal, and Elasticsearch.

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Cambridge Semantics Launches ‘Anzo Smart Data Integration’

Anzo Smart Data Integration (ASDI)

Extract,  Transform, and Load (ETL) and the business problem ETL solves — Data Integration — are complex to say the least. As the team at Cambridge Semantics points out:

Data integration and data on-boarding are time-consuming, manual, costly & error-prone processes.

  • Complex integrations require developing a large number of point-to-point source-target mappings.
  • Each mapping must be jointly developed by experts in all involved systems before being handed off to a team of ETL developers.
  • Each hand-off increases both the time it takes to complete the integration and also the risk of errors as requirements are misunderstood or not fully validated.
  • The lineage and meaning of data are often lost in the process, limiting the trustworthiness and utility of the data.


Cambridge Semantics today announced the launch of its Anzo Smart Data Integration (ASDI) software to help enterprises rapidly understand and integrate information assets. Described as a “design time tool for business analysts,” ASDI is “designed to reduce integration time frames and costs by 10X and enhance time-to-revenue when on-boarding new customers, partners and data,” according to the official announcement.

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Taking Text And Sentiment Analytics To The Masses

Text and sentiment analytics for the masses. That could be a tagline for Semantria, which lets users put the technology to work in a pay-as-you-go cloud model. Not only that, but it lets customers deploy a plug-in to run analytics of unstructured content, extracting entities, themes, sentiment, categories, summaries, facets, and relationships, in one of the world’s most common user environments: Microsoft Excel.

More is on the way, too. This December should see the unveiling of a partnership with an as-yet-unnamed vendor to expand the applications with which its platform is compatible. That partner already offers data integrations with 300 applications; when Semantria becomes the 301st, users will be able to universally and bi-directionally talk to the hundreds of other applications without having to do any integration work on their own.

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Microsoft Turns to Machine Learning to Get Ahead of the Big Data Curve

Quentin Hardy of the New York Times recently discussed Microsoft’s efforts to gain an edge in Big Data analytics. Hardy writes, “Eric Horvitz joined Microsoft Research 20 years ago with a medical degree, a Ph.D. in computer science and no plans to stay… He remained at M.S.R., as Microsoft’s advanced research arm is known, for the fast computers and the chance to work with a growing team of big brains interested in cutting-edge research. His goal was to build predictive software that could get continually smarter. In a few months, Mr. Horvitz, 54, may get his long-awaited payoff: the advanced computing technologies he has spent decades working on are being incorporated into numerous Microsoft products.” Read more

Amid Mixed Picture For VC Investments, Silk Gets More Seed Funding

Just as reports are coming in that venture-backed companies based in Europe recently have raised more money but in a fewer number of deals, word comes from the team at Amsterdam-based Silk that its latest seed round has brought in an additional $1.6 million.

According to new analysis from Dow Jones VentureSource, VC-backed companies based in Europe raised EUR 1.3 billion through 273 venture capital deals during the second quarter of 2012. That marked a 14 percent increase in capital raised but a 20 percent decline in deals from the same period last year, it said. Additionally, second-round deals accounted for 19 percent of deal flow and 18 percent of capital invested, down from 25 percent and 28 percent, respectively, in the year-ago period, it said.

Silk in May 2011 completed a $475,000 funding round led by Atomico, the venture capital firm headed up by Skype co-founder Niklas Zennström.

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Cambridge Semantics Helps Users Take First Steps Into The Semantic Web

Cambridge Semantics has a new way for users to get access to its Anzo solutions: Next week at the Semantic Technology & Business Conference in San Francisco it will announce a packaging of the technology, dubbed the Anzo Express Starter Edition, that can be downloaded for free by anyone. “This lets anyone really easily start with semantics without having to invest a lot of time and without learning every fundamental detail,” says Rob Gonzalez, Director of Product Management & Marketing and a frequent contributor to this blog.

The full Anzo semantic suite is a complete enterprise data management solution with the ability to pull data in and out of relational databases for integration, to connect data within unstructured documents, and to provide analytics and enterprise security, for heavy-duty enterprise use. The Starter Edition is a trimmed-down version that’s more suitable for small groups, such as users in academia or others engaged in research,  that need a basic server and Excel integration for spreadsheet data sharing to get started.

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Cambridge Semantics Focuses On Operational Intelligence

Cambridge Semantics says it’s aiming at moving organizations from business intelligence to operational intelligence. “The data is real and you can bring in new data in minutes. And business users can create and change reports and ask ‘what if’ questions themselves,” explained EVP Steven Kludt at the SemTech conference. “We can be event based—if something changes in the data we can respond to that with rules around the data, like kick off a workflow. We can accommodate on the spot so that the business is constantly tuning things right away.” (Video after the jump)

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University of Southampton Takes Practical Approach to Open Data Services

A whole lot of open data made its way onto the web this week, thanks to work undertaken at the University of Southampton, where Semantic Web thought leader Professor Nigel Shadbolt is professor of Artificial Intelligence and Deputy Head of the school of Electronics and Computer Science.

The project was launched with a wholly practical approach to publishing data – about vending machines, catering halls, and other points of service – in RDF format by that school’s web manager, Christopher Gutteridge. And he’s hopeful that practical will become pioneering – so much so that he’s collecting basic recipes for good practices for organisations wanting to create Open and Linked Data here.

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Google Refine + RDF Extension = Step To Enterprise Data Space

Time to reflect on Google Refine in so far as it relates to the RDF extension produced by DERI Researcher/ Linked Data Technologist Richard Cyganiak and DERI Research Master Student Fadi Maali, which debuted a couple months back. The RDF Extension adds a graphical user interface for exporting Refine project data in RDF format, and the pairing is worth a closer look by the enterprise community.

Refine – the messy data-cleanup tool once known as Freebase Gridworks, prior to Google’s acquisition of MetaWeb – has an established reputation in open government data and journalism communities, and the RDF Extension certainly has application there. But the Excel-laden enterprise also should consider how it can profit from the matched capabilities, too. Think of how much critical business information is locked inside uncommunicative Excel spreadsheets – reams and reams of them – and individual databases. Refine presents an opportunity to take in that data and clean it up (something Excel itself isn’t particularly focused on) and, with the RDF extension, to free it from its silos, integrate it with other data sets, and just plain open the door to getting a whole lot more use out of it.

This can be an important piece, then, of the bigger notion of the enterprise data space, where there’s a single way to access, query and search data that now lives in its own little pockets. “It seems RDF is a great technology for implementing this sort of abstract idea of the enterprise data space,” Cyganiak says.

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