Speakers: Jan Aasman, Franz & Matthieu Jonglez, Smartlogic
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Graph Search, as recently popularized by Facebook, is also relevant to enterprise information management. Companies are looking to Graph solutions that facilitate understanding of the "connectedness" of their data and as a means to manage the complexity of relationships between elements of information. The Semantic Web has long promised the value of "The Graph" and offers a world of shared information usable beyond the boundaries of legacy applications, inflexible content silos and rigid organizational boundaries. Add in the volume, velocity and variety that is Big Data and we are now hitting stride for semantic technologies to deliver on the promise.
Using real client examples, this webinar demonstrates how organizations use two types of semantic application, namely Content Intelligence and Graph Databases to organize enterprise knowledge. There are many ways to use these technologies but one that is gaining momentum is to semantically classify unstructured documents using ontologies in order to draw new data connections and meaning from very large information sets.
In this talk we will demonstrate two projects where a combination of SKOS/OWL based models, entity extraction, rule based classification, search engines and an RDF Graph Database are used to create a semantic retrieval engine for unstructured documents that delivers new insights to the user.
The business benefits of these projects have included faster development of products; more rapid time to market; improved and more efficient maintenance procedures; new ways of working with information to service customers; enhanced data security and protection; lower cost adherence to compliance tasks.
Register to attend this webinar here.
New features include:
See the full list of new features and improvements here.
New Features include:
Many other improvements and fixes have been included in this new release. For additional information, see the release notes here.
Boston - February 27 - March 1
CSHALS is the premier annual event focused on the use of semantic technologies in the pharmaceutical industry, including hospitals/healthcare institutions and academic research labs. With an expanded scope that includes the emerging field of data science, CSHALS 2013 should be part of your plans for 2013!
Topics covered by CSHALS 2013 span the continuum between standards development and big data workflows - the scope between Life Science data representation and its analysis.
Join us for Franz's tech talk - Semantic Indexing of Unstructured Documents Using Taxonomies and Ontologies at 11:45 Thursday the 28th.
For additional conference information, see here.
Text Analytics World is the full-spectrum conference that covers all aspects of text analytics. To solidify the business value you gain from text analytics, TAW delivers the latest methods/techniques, demonstrating their deployment across a wide range of industries large and small. TAW also explores the full range of vendor solutions and various forms of text analytics enterprise deployment.
This leading event provides the means for people in fields traditionally separate and siloed to communicate and learn from one another - discovering how much they can gain from an interdisciplinary collaboration.
Join us for Franz's Presentation - AllegroText: Text Mining with an RDF Graph Database at 10:40 Thursday the 18th.
For additional conference information, see here.
As Presented at Semtech SF, NY, and London 2012.
Having engaged several Fortune 500 companies with projects to develop Semantic Technology solutions we have identified several consistent requirements that have become the foundation for successful deployments of Semantic Technologies.
The overarching pattern that we see in these companies can best be described as real time entity tracking in order to perform real time business analytics. Typical entities are students, telephone customers, credit cards or insurance policies.
We identified and built out four components as the basis of our Semantic Technology Projects. Component one is an ETL system that takes data from various input streams and transforms the data into events, encoded as RDF triples, that go into a publish subscribe queue. To facilitate this we created a number of plugins for the open source ETL tool Talend to provide an R2RML mapping from data into triples. The second component is a forward chaining/backward chaining rule system that takes events out of the queue and combines it with the already existing knowledge about a particular entity and generates new knowledge. For some applications we see more than 10,000 triples per entity. Rules need to be able to deal with a new event in a fraction of a second. The third component is a machine learning component that is trained to generate predictions based on the features of a particular entity (for example: what is the customer going to call about when calling the call center). These predictions are again coded as individual triples. Finally, the fourth component is a reporting system that allows us to do real time analysis over all existing entities.
Watch this recorded webinar here.
Videos covering AllegroGraph and related technologies.
Visit AllegroGraph's Channel here.
Semantic Case Study: Pfizer Moves Semantic Tech Forward, Helping Business Respond To Cost Pressures And Realize Efficiency Gains
A couple of years back, The Semantic Web Blog visited with Vijay Bulusu to gain some insight into how pharma giant Pfizer Inc. was moving forward with semantic technology. At the recent Semantic Technology and Business Conference in New York City, Bulusu, director, informatics and innovation at Pfizer, provided additional perspective on the issue - Read the full article here.
Semantic Case Study: EPIM ReportingHub.The E&P Information Management Association (EPIM) launched EPIM ReportingHub (ERH), an interesting semantic technology project in the field of oil and gas. Read the full case study here.
Tactical Semantics: Extracting Situational Knowledge from Voice Transcripts using Ontology-Driven Text Analysis. Dr. Kent D. Bimson, Vice President, Research, Modus Operandi, Inc. View the details here.
Building a Personalized eCommerce Agent: Introducing the Thrive.AI app. Marc C. Hadfield, CTO, Vital AI. View the details here.
Intel - Big Memory, Big Data, and the Semantic Web. "Techniques like MapReduce and NoSQL products based on them are fine for some problems," said Mitch Shults, Mission-Critical Segment Strategist, Intel Data Center Group. "To achieve high performance against meaningful amounts of triplestore data, however, you just can't afford to be traipsing all over the network to pull things together. This result demonstrates the incredible value that affordable large-scale, big-memory server platforms built around the Intel Xeon E7 server platform can deliver for next-generation workloads like triple stores." For additional information, see here.
Semanticweb.com: What One Trillion Means for the Semantic Web. Mitchell Shults commented on the significance of Franz's recent success loading one trillion triplestores. Shults writes, Triplestores are perfect for making sense out of extremely complex data. However, a triplestore is only useful if massive quantities of information can be loaded, updated and effectively queried in a reasonable amount of time. That is why Franz's Technology announcement is so interesting. Read the rest of the article here.
KRSTE.my (Knowledge Resource for Science and Technology Excellence, Malaysia) is an initiative, based on AllegroGraph, by MOSTI and spearheaded by MASTIC to address science and technology issues and challenges faced by the community, the ministry and the country. KRSTE.my is designed to be a Single Point Access Facilities (SPAF) providing intelligent collaborative knowledge management and learning services platform on Science and Technology and Innovation. More info here.
Recorded past Semantic Technologies Webinars: Recorded Webinars
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