In this issue
- Free Webcast: Gruff Version 5 - Tips and Tricks to become a Power User - 10:00 AM Pacific, Wednesday, April 24th
- Gruff v5 - Now Available!
- Text Analytics World - San Francisco, April 17-19
- Enterprise Data World: April 28, San Diego
- The SemTechBiz Conf - June 2, San Francisco
- Recorded Webcast: Graph Search Using Ontologies and Content Intelligence - from March 6th
- YouTube - The AllegroGraph Channel
- Brief Highlights
Free Webcast: Gruff Version 5 - Tips and Tricks to become a Power User
10:00 AM Pacific, Wednesday, April 24th
The free-form nature of Graph style data offers a lot of flexibility for connecting data, but that freedom can also make it more challenging to find interesting patterns or simply navigate through your data. It has become typical for RDF data sets to contain thousands of classes and relationship types, making it hard to even formulate the analytics and queries you want to perform.
Gruff, a visual analytics and discovery tool, was developed by Franz to specifically address these Graph data challenges in large data sets. Gruff lets you intelligently explore graphs in multiple views:
The new Gruff v5 uniquely offers users a powerful capability to mark an interesting visual pattern in the Graphical View and convert that automatically into a textual SPARQL or Prolog query. This query code generator operating in conjunction with new zoom in - out controls on Gruff's large graph visualization engine provides users with an unmatched graph discovery tool.
Join us for this webcast training session to learn how to:
Gruff, a free tool, is simple to install and provides an easy on-ramp for non-technical users to engage the Semantic Web. Join us for this one hour training session.
To register for this webinar, see https://www2.gotomeeting.com/register/609916178
Gruff v5 - Now Available!
New Features include:
- Gruff has a new spring layout algorithm that it uses for larger visual graphs. It is much faster for larger graphs than the original constraint-based algorithm, though it does not prevent nodes from overlapping links. The new option "Visual Graph Options | Spring Layout Options | Minimum Nodes for Spring Layout" controls when the layout automatically switches between the two algorithms. Other new options on that same child menu control the spring layout behavior.
- During a spring layout you can press the zero key to toggle animation on and off. That allows letting a large layout run at full speed and then turning animation on to see how far it has progressed.
- Several new zooming commands on the Layout menu of the graph view provide alternate views of the larger visual graphs that can now be handled by the spring layout algorithm. Node and link labels are not drawn when zoomed out, though they do appear in tooltips. Full mouse and keyboard functionality is still available on zoomed-out nodes and links.
- The mouse wheel now performs zooming in the graph view, rather than scrolling as before, though the new option "Visual Graph Options | Layout Options | Mouse Wheel Zooms" could be used to revert to the scrolling behavior.
- The new command "Layout | Update Layout Vigorously" is an incremental layout that is better at untangling crossed chains of nodes.
- The new option "Visual Graph Options | Layout Options | Maximum Nodes for Animation" avoids animating layouts when there are too many nodes and links for animation to be fast enough for interactive use.
- Three options on the "Visual Graph Options | Inclusion Options" child menu now have much larger defaults because the new spring layout can handle larger graphs. The new defaults will override any custom values that you may have set. These options are "Number of Total Links for Warning", "Number of Total Links for Abort", and "Number of Links from One Node for Warning".
- Displaying the results of completed queries is faster.
- The new option "Query Options | Exclude Orphans from Visual Graphs" controls whether orphan nodes may appear in a visual graph that's generated from a query.
- Nodes in the graph view can now display pixmaps, if triples are added to the store for that. If the UPI of a node names a pixmap file on the local machine, then the graph view will display the pixmap for the node, rather than a text label. The UPI string can be either an absolute path string or a relative path string that will be merged with "Global Options | Miscellaneous | Document Base Folder" to find the actual file to use.
- The various commands for loading triples now allow you to select multiple files at once in the file selection dialog (when they're in the same folder).
- The new spring layout now handles the existing predicate direction constraints, such as forcing all subClassOf links to point upward as in a tree graph.
- You can now set or clear the layout direcction constraint for a predicate from the pop-up menu in the legend pane, rather than only from the "Visual Graph Options | Layout Options" menu.
- Highlighted nodes in the visual graph (see Select | Highlight Selected Node or Link) are now drawn in a different way to make them easier to spot, with a thick blue border rather than a light red background color.
Many other improvements and fixes have been included in this major new release. For additional information, see the release notes here.
Text Analytics World - San Francisco, April 17-19
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.
Enterprise Data World: April 28, San Diego
Enterprise Data World is the business worldҳ most comprehensive educational event about data and information management. Over five days, EDW presents a diverse schedule of programming that addresses every level of proficiency, including keynotes, workshops, tutorials, case studies, and discussions.
Join us for Franz's Presentation - What to do with the Social Networks in your Customer Data? at 10:20 Tuesday, April 30
The SemTechBiz Conf - June 2, San Francisco
The Semantic Technology & Business Conference (SemTechBiz) brings together todayҳ industry thought leaders and practitioners to explore the challenges and opportunities jointly impacting both corporate business leaders and technologists. Attendees will benefit from this unique opportunity to explore how semantic solutions and linked data are being embraced throughout companies across a diverse range of business categories.
Join us for Franz's Presentations - Real-Time Graph Search for Corporate Risk Mitigation at 10:30 Monday, June 3rd, and Semantic Indexing of Unstructured Documents Using Taxonomies and Ontologies at 11:10 Wednesday, June 5th.
Recorded Webcast: Graph Search Using Ontologies and Content Intelligence - from March 6th
Speakers: Jan Aasman, Franz & Matthieu Jonglez, Smartlogic
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.
View the recording of this webinar here.
YouTube - The AllegroGraph Channel
Videos covering AllegroGraph and related technologies.
Visit AllegroGraph's Channel here.
Gartner Names Semantic Technologies To Its Top Technology Trends Impacting Information Infrastructure in 2013.
Semantic technologies have made it to Gartner's list of the top technology trends that will impact information infrastructure this year. Read the full article 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.
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