Posts Tagged ‘application development’

Real-Time Semantic Enterprise App Integration: The Way To Deal With Dynamic Business

entwebReal-time semantic enterprise application integration – that’s what SmartAlex agent technology from EnterpriseWeb has in store for businesses.

With SmartAlex, a component of its EnterpriseWeb model-driven app development platform, “the consumer asks the agent to figure out what needs to happen and it happens in realtime,” according to Jason Bloomberg, the company’s chief evangelist. “It gives you a level of dynamic capability that traditional integration environments – whether application or data – can’t rise to.”

Why that’s a problem: “Business is a big mess. People are talking, interacting, and concepts are changing,” he noted during a presentation at this week’s Data Summit conference. “How data is structured is in a fluctuating state, so a simple representation of business context in a static data model doesn’t meet our needs.”

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Searchbox Wants To Help You Build Your Enterprise’s Specialized Search Engine

Searchbox is taking its enterprise semantic search technology in a new direction. The offering, which The Semantic Web Blog initially covered here, today is packaged as a software-as-a-service (SaaS) solution, and it’s now based on the Apache Solr open source enterprise search platform from the Apache Lucene project rather than on proprietary technology.

“We completely changed the technology stack for keyword search and integrated our semantic technology into Solr,” says chief product officer Jonathan Rey. On top of Apache Solr, he says, the company developed a search application framework that IT managers, CIOs, and developers can leverage to provide a richer experience to end users.

“There is no such thing as ‘standard enterprise search.’ Searchbox is a platform onto which companies can build a specialized search engine,” Rey says.

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At SemTechBiz: Driving To More Agile Enterprise App Building In Government And The Enterprise

Be Informed, which provides businesses a way to build model-driven semantic applications, unveiled a new partnership and a gratis version of its software for users at the Semantic Technology & Business conference this week.

Integrator partner CACI International is joining with Be Informed to develop Civinformed, a semantic solution as a service in the cloud for government agencies. The cloud service aims to respond to the need for civilian agencies in the U.S. government to cut costs and respond quickly to changes, such as those to come with The Affordable Health Care Act, while also raising citizen service levels, says Dan Latham, Be Informed USA CEO.

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Facebook Partners With Rovi For Entertainment Metadata To Enhance User, Developer Experience

Facebook is integrating into its platform Rovi Video’s descriptive information on millions of TV shows, movies, celebrities, sports events and more. The partnership should help users flesh out more details in their entertainment likes and status updates that tag their movie, TV, and other media experiences in their profiles, and aid app developers in leveraging a standardized set of entertainment data for new apps and user-engagement.

Rovi Corp.’s media metadata Video Data set boasts standardized, structured data on more than 4 million programs, including theatrical, DVD and Blu-ray releases.

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Fujitsu Labs And DERI To Offer Free, Cloud-Based Platform To Store And Query Linked Open Data

The Semantic Web Blog reported last year about a relationship formed between the Digital Enterprise Research Institute (DERI) and Fujitsu Laboratories Ltd. in Japan, focused on a project to build a large-scale RDF store in the cloud capable of processing hundreds of billions of triples. At the time, Dr. Michael Hausenblas, who was then a DERI research fellow, discussed Fujitsu Lab’s research efforts related to the cloud, its huge cloud infrastructure, and its identification of Big Data as an important trend, noting that “Linked Data is involved with answering at least two of the three Big Data questions” – that is, how to deal with volume and variety (velocity is the third).

This week, the DERI and Fujitsu Lab partners have announced a new data storage technology that stores and queries interconnected Linked Open Data, to be available this year, free of charge, on a cloud-based platform. According to a press release about the announcement, the data store technology collects and stores Linked Open Data that is published across the globe, and facilitates search processing through the development of a caching structure that is specifically adapted to LOD.

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Search And Next-Gen Big Data Apps

Search is a fundamental, a system building block, and something that should be a critical part of enterprise architectures. That’s what Grant Ingersoll, co-founder and CTO at search, discovery and analytics vendor LucidWorks – which leverages the Apache Lucene/Solr open source search project – told an audience at last week’s GigaOM Structure Data event.

The company late last year launched LucidWorks Big Data for developing Big Data applications, which builds on top of its heritage developing the LucidWorks Search solution. “It’s a platform for organizations and developers to build out next-generation data applications,” Ingersoll said in a conversation with the Semantic Web Blog. Its focus is on tight integration of key Apache open source projects and layering with a REST API, to provide developers single-source access to the stack’s richness for creating applications that provide comprehensive search, discovery and analysis of an organization’s vast content and user interactions.

LucidWorks Big Data is made up of Apache Hadoop; the Apache Mahout machine-learning library; Hive, a data warehouse system for Hadoop that facilitates data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop-compatible file systems; and Apache OpenNLP, a machine-learning based toolkit for the processing of natural language text that supports common NLP tasks.

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Semantics For The Connected World: Thingworx Goes Live

Manufacturers, utilities, health care and other industrial and services organizations have an opportunity to develop applications that model and draw upon the capabilities of the increasingly connected physical world around them. Seems, after all, as if almost everything already is or soon will be connected to a sensor of some sort, reeling in data to private intranets and, phase by phase, to the Internet, and creating opportunities to create smart grids, smart parking, and smart cities.

Thingworx may be able to help them take advantage of that opportunity. The start-up today plans to formally launch its application platform in Downingtown, Pa. (hopefully bringing a bit of cheer to state residents still getting over last night’s Pittsburgh Steelers Super Bowl loss). It leverages its semantic definitions for this “Internet of things” world to help those organizations – and not just the techies within them – to search, query, and analyze data, and then build mash-ups using the results.

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Build Data-Aware Apps, Without the Hassle

The day may come when you might not need a team of developers to write data-driven or data-aware apps that themselves can be described in just a few words. Ideally, that would mean companies would spend a lot less money on, and speed up, a long-winded process that encompasses everything from understanding requirements to discovering data sources and normalizing results, to managing data coordination across front-end and back-end teams.

That day isn’t here yet, but  SemantiNet is trying to move things a step closer to that point. The company this month has introduced an open-ended alpha API that has as its centerpiece the idea of the data flow graph.

Its purpose is to enable easy querying of a collection of Web Services, Wikipedia, Linked Data and the unstructured web, and culminating in “one-liner” search bar apps, including mashups, built in minutes. Some examples: drawing out from dbPedia objects within a 50-kilometer radius of the Eiffel Tower that are somehow related to Napoleon and displaying the results as video; breaking down the revenue of the world’s major car companies listed in Wikipedia and providing a pie chart with that data and also mashing into the results the age of the companies in a table, its locations pinpointed on a map, and company snapshots called out in a graph; or finding out which pizza places close to your current location have some lunch deals on. For good measure, throw in some tweets and analyze them for sentiment, just to make sure that we’re talking about tasty pizza.

Or check out some of the output at left for the Keith Richards Guitar Gallery app, built on combining the unique DBpedia URI for Keith Richards; a fuzzy matching of the free-form text “instrument” with a predicate of dbpedia:Keith_Richards to get a list of the instruments he played; and a rendering of  this list of instruments using a SemantiNet template called videolist.html.

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Creating Dynamic Business Applications using Semantic Web Technology – Part II

This is the second of a two-part series discussing how Semantic Web Technology can enable Dynamic Business Applications in the enterprise. Read Part 1 of the article here.

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