Tuesday, August 1, 2017

AllegroGraph News - August 2017


In this issue

Intel Solution Brief - Montefiore Creates Data Analytics to Advance Patient Care
Intel Next Logo
Like all healthcare organizations, Montefiore faces complex challenges from government pressures to reduce costs and stringent regulatory guidelines to diverse patient populations and disruptive technologies. A focus and investment in precision medicine has brought the nation's and industry's attention to expanding the breadth of patient data in order to personalize treatment for individuals and historically underrepresented groups. Further, understanding patients requires information on a complex array of factors, some of which may not even be known during a clinical interaction, such as the home and work environment, nutrition, and genetics...
To read about their solution, see here

Free Webcast - A Time Machine for your Graph

Gruff Icon

August 23, 10 AM Pacific

Many use cases for a Graph Database, like AllegroGraph, involve temporal events. In general, "Events" are modeled as objects that have a start time, end time, a type, some actors and a geospatial location. In this webinar we will explore the temporal aspects of events using a set of practical examples from healthcare, government intelligence, the world of finance, and real estate.
With Gruff v7.0os new "Time Slider" feature, these examples really come to life. Using Gruff, a semantic graph browser, we will visually demonstrate how graphs that are comprised of temporal events are constructed over time, allowing time machine like exploration of your data.
To register for this webcast, see here

Gruff v7.0 Now Available!
Gruff screenshot
New Features Include:
  • Gruff 7.0 features a new time bar, which can be toggled on with the new command "View | Optional Graph View Panes | Show Time Bar". The time bar is used to compare nodes that have date (or date-time) properties, showing how nodes follow each other and overlap in time. It can also temporarily filter nodes from the display when they do not lie within a specified time range. There are several time bar options on the new "Visual Graph Options | Time Bar" child menu.
  • Holding the mouse cursor over a node in the overview pane (the scroller pane at the lower left of the graph view) now displays the label of that node just above the overview pane. That may help find a node that you want to scroll into view. The overview pane will also draw the selected node in red and larger.
  • The right-click pop-up menu for the node icons in the legend contains two new commands for highlighting or unhighlighting all of the matching nodes.
For additional information, see here and the Gruff Release History

Franz Inc. named to the DBTA 100 - The Companies That Matter Most in Data
Franz Graph logo
Franz Inc., an early innovator in Artificial Intelligence and leading supplier of Semantic Graph Database technology, announced it has been named to the Database Trends and Applications (DBTA) 100 - 'The Companies That Matter Most in Data'. The world of data management is constantly changing. The DBTA 100 recognizes vendors who are evolving with the times and leading the charge to address new opportunities and requirements. Embracing the old and new, well-established and cutting edge, this fifth annual DBTA 100 list spotlights the companies that are dealing with evolving market demands through innovation in software, services, and hardware. The list includes long-established IT companies and newer upstarts anxious to shake up the data management space. Each year, the DBTA 100 presents "View from the Top" articles by company executives explaining how their organizations are uniquely addressing the data challenges of today and tomorrow...
See here to read the full release

The Semantics 2017 Conference - Amsterdam, September 11-14
Semantics Amsterdam logo
SEMANTiCS 2017 is an international event on Linked Data and the Semantic Web where business users, vendors and academia meet. Widely recognized to be of pivotal importance, it is the thirteenth edition of a well-attended yearly conference that started back in 2005. It offers keynotes by world-class practitioners, presentations and field reports in diverse tracks, talks addressing a variety of topics, and panel discussions. And, of course, ample opportunities for networking and meeting like-minded professionals in an informal setting.
For additional information, see here

The Text Analytics Forum 2017 - Washington DC, November 8-9
Text Analytics 17
Text Analytics is a platform technology that adds depth and intelligence to any organizationfs ability to utilize that most under-utilized resource V text. For many years the exponential growth of information has been experienced as a problem V information overload. However, with a new generation of text analytics tools and techniques, massive amounts of information are becoming part of the solution for an incredibly wide range of applications, from search that works to social media-fueled insights about customers and competitors to new flexible approaches to KM, new solutions to fake news, and more. The inaugural theme for Text Analytics Forum, Go Deeper, invites all who deal with text to take a deep dive into this powerful set of techniques.
For additional information, see here

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Monday, July 24, 2017

Gruff v7.0 - Time Machine Tutorial



Here is an example for trying out the new time slider in Gruff's graph view.  It uses triples from crunchbase.com that contain a history of corporate acquistions and funding events over several years.  Gruff's time bar allows you to examine those events chronologically, and also to display only the nodes that have events within a specified date range.
* Download the Crunchbase triples from the bottom of the Gruff
  download page at https://franz.com/agraph/gruff/download/.

* Create a new triple-store and used "File | Load Triples | Load
  N-Triples" to load that triples file into the new triple-store.  Use
  "File | Commit" to ensure that the loaded triples get saved.

* Select "Visual Graph Options | Time Bar | Momentary Time Predicates"
  and paste the following five predicate IRIs into the dialog that
  appears.  The time bar will then work with the date properties that
  are provided by these predicates, whenever you are browsing this
  particular triple-store.

http://www.franz.com/hasfunded_at
http://www.franz.com/hasfirst_funding_at
http://www.franz.com/hasfounded_at
http://www.franz.com/haslast_funding_at
http://www.franz.com/hasacquired_at

* Select "View | Optional Graph View Panes | Show Time Bar" to reveal
  the time bar at the bottom of the graph view.  The keyboard shortcut
  for this command is Shift+A to allow quickly toggling the time bar
  on and off.

* Select "Display | Display Some Sample Triples" to do just that.  The
  time bar will now display a vertical line for each of the requested
  date properties of the displayed nodes.  Moving the mouse cursor
  over these "date property markers" will display more information
  about those events.

* Click down on the yellow-orange rectangle at the right end of the
  time bar and drag it to the left.  This will make the "time filter
  range" smaller, and nodes that have date properties that are no
  longer in this range will temporarily disappear from the display.
  They will reappear if you drag the slider back to the right or
  toggle the time bar back off.

For more information, the full time bar introduction is in the Gruff documentation under the command "View | Optional Graph View Panes | Show Time Bar".

Check out the "Chart Widget" for showing date properties of the visible nodes.






Tuesday, March 28, 2017

Bloor Research Positions Franz’s AllegroGraph as a ‘Champion’ and Highest Ranked in Graph Database Market

Analysts View Gruff as Key Tool for Efficient  Graph Query Development

OAKLAND, Calif. March 28, 2017 Franz Inc., the leading supplier of Semantic Graph Database technology,
today announced that its flagship product, AllegroGraph, has been named a ‘Champion’ by Bloor Research in its recent Graph Database Market Update report.  

“AllegroGraph is the highest ranked product in its class, and, thanks to Gruff, it was rated as the easiest product to use.” – Bloor Research

AllegroGraph is a database technology that enables businesses to extract sophisticated decision insights and predictive analytics from highly complex, distributed data that cannot be uncovered with conventional databases. Unlike traditional databases or NoSQL databases, AllegroGraph employs semantic graph technologies that process data with contextual and conceptual intelligence. AllegroGraph is able run queries of unprecedented complexity to support predictive analytics that help organizations make more informed, real-time decisions.

"We are excited to be recognized for providing the best solutions to the market. Since our inception, we have always been in the business of 'solving complexity' through our Semantic Graph technologies," said Dr. Jans Aasman, CEO, Franz Inc. "From our origins in the Artificial Intelligence boom, through our advanced capabilities in Graph search and now as part of our Semantic Data Lake project, we strive to provide the best solutions to complex challenges in the Enterprise."

“Graph databases handle a class of issues that are too structured for NoSQL and too diverse for relational technologies,” according to Bloor Research. “Relational databases are inherently limited to one-to-one, many-to-one and one-to-many relationships. They do not cater well for problems (such as bill of materials - a classic case) that are many-to-many. For these types of requirements graph databases not only perform way better than relational databases, but they allow some types of query that are simply not possible otherwise.” (Source: Bloor Research, Graph Databases, January 20, 2017)

“We needed to get data out of silos so we could ask questions across multiple disciplines,” says Tom Plasterer, U.S. cross-science director, R&D information at AstraZeneca. “CI360 has an integrated data layer, an application layer and a community layer. The integrated data layer uses AllegroGraph, a graph database from Franz, to provide links among different data elements and incorporates big data into its analyses. Graph databases store information about connections among data elements, and the information is easily presented in visualized form to show those connections.”

Bloor Research noted why AllegroGraph was ranked highest:

  • Gruff is a major differentiator. It provides by far the easiest way of developing graph queries that we have seen from any vendor.”

  • The analytic support provided is extensive and Franz is one of relatively few vendors that is serious about complex analytics. The nDimensional support is also a differentiator.

  • We particularly like the semantic data lake concept as well as the ability to associate probabilities with relationships.

"Using AllegroGraph, Enterprises can run queries of unprecedented complexity to enable predictive analytics and real time decision-making within literally all industries including Healthcare, Life Sciences, Financial Services and Publishing," said Dr. Aasman. "This realization is driving demand for graph based analytics for use over diverse sources such as corporate email, documents, spreadsheets, relational databases, news feeds, social networks and much more."


Events

In addition, Dr. Aasman will be presenting at the Financial Industry Business Ontology (FIBO) Management and Technical Conference, “Data Exploration with Visual SPARQL Queries”


About Franz Inc.
Franz Inc. is an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology with expert knowledge in developing and deploying complex Cognitive Computing solutions. AllegroGraph, Franz's flagship, high-performance, transactional, and scalable Semantic Graph Database, provides the solid storage layer for Enterprise grade NoSQL solutions. Franz's Cognitive Computing capabilities provides a powerful means to aggregate and analyze data about individual and organizational behaviors, preferences, relationships, plus spatial and temporal linkages between individuals and groups.

For additional Franz Inc. customer success stories, please visit:

Franz's Professional Service team is in the business of helping companies turn Data into Information and Information into Knowledge. We combine Data, Business Intelligence, and Analytics consulting services under one roof for our customers. Franz, an American owned company based in Oakland, California, is committed to market-driven product development, the highest levels of product quality and responsive customer support and service. Franz customers include dozens of Fortune 500 companies and span the healthcare, government, life sciences and telecommunications industries worldwide. Franz has demonstrated consistent growth and profitability since inception.

Monday, February 20, 2017

AllegroGraph v6.2 - Now Available

Release 6.2.0 is a major release with significant changes to various parts of AllegroGraph. The attributes facility has been improved and a new command-line tool, *agtool combines most previous command-line programs into one. Some important changes are noted here and link to full release notes below:

  • New agtool command line program. See the agtool document for details. agtool replaces most command-line programs used in earlier releases.
  • Triple attributes enhancements. The Triple attributes facility, allows each triple to have associated attributes. These can be used for various purposes, such as access control. The facility has been enhanced in various ways in release 6.2.0. See the Triple Attributes document. Individual changes are listed with other 6.2.0 changes below.
  • New server load charts in AGWebView. Charts displaying aspects of server loading and performance are displayed on the Server Load page in AGWebView. The page is displayed by the View Server Load item on the Utilities menu. Here is a picture of the charts:


The Server Load and Performance Charts

Release Notes - http://franz.com/agraph/support/documentation/current/release-notes.html

Wednesday, February 1, 2017

#AllegroGraph News - February 2017



In this issue

Free Webcast: The Power of Machine Learning and Graphs - March 1, 2017
Jans Aasman
Graphs and Machine Learning have long been a focus for Franz Inc. and currently we are collaborating with a number of companies to deliver the ability to understand possible future events based on a company's internal as well as externally available data. By combining machine learning, semantic technologies, big data, graph databases and dynamic visualizations we will discuss the core components of a Cognitive Computing platform.
We will discuss example Cognitive Computing platforms from Ecommerce, fraud detection and healthcare that combine structured/unstructured data, knowledge, linked open data, predictive analytics, and machine learning to enhance corporate decision making.
Join us 10:00 AM Pacific to learn more. For registration information, see here

allegRo - The R Project API for AllegroGraph
R Logo
This is an API for AllegroGraph. It provides an interface to perform actions such as creating repositories, evaluating SPARQL queries, and handling the AllegroGraph server.
R is a free software environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, m) and graphical techniques, and is highly extensible.
For additional information and to download, see here

AllegroGraph Version 6.1.5 Now Available
Franz Logo
Release 6.1.5 is a maintenance release which fixes bugs, and has new improvements and optimizations.



Please see the release notes for a description of the changes.

Smart Data Conference - Tutorial: Build Your Own Cognitive Computing Platform, January 30
Smart Data Logo
Cognitive Computing Platforms are a growing phenomenon that have been shown to add significant value to the Enterprise. IBM's Watson is just one of the more well known examples. The power of these platforms is that you not only base your enterprise decisions on what is in your structured enterprise data warehouse, but you also mine the unstructured data. In addition, the platform combines proprietary and public knowledge in the form of vocabularies, taxonomies, ontologies, and linked open data with a powerful layer of machine learning technologies. The resulting analytics are pushed back into the core knowledge corpus resulting in a learning system that continually tunes desired metrics...
For additional information, see here

Smart Data Conference - Presentation: Cognitive Probability Graphs for Smart Knowledge Management, January 31
Smart Data Logo
Knowledge creation via Cognitive Probability Graphs stems from the capability to combine the probability space (statistical inference on patient data) with a knowledge base of comprehensive industry terminology systems. Cognitive Probability Graphs are remarkable not just because of the possibilities they engender, but also because of their practicality. The confluence of knowledge via machine learning, semantics, visual querying, graph databases, and big data not only displays links between objects, but also quantifies the probability of their occurrence. We believe this approach will be transformative across numerous business verticals...
For additional information, see here

Enterprise Data World Presentation: Developing an Advanced Analytics Capability on an Enterprise Data Lake, April 4
EDW logo
Enabling the Data Lake for scalable and extensible analytics with the ultimate goal of developing a learning system is rapidly taking shape for the Enterprise. Until recently big data was focused on processing massive amounts of simple, flat data. But now, there is a requirement to fuse complex data to create more intelligent analytic frameworks to achieve better business decisions. Adding advanced analytics to a Data Lake to create a scalable knowledge-based analytics platform for pattern recognition, classification, predictive modeling, and simulations is rapidly developing with use cases in Fraud Detection, Healthcare, E-commerce, Intelligence, and more...
For additional information, see here.

TechCrunch article - Putting data back into the hands of owners
TechCrunch logo
In healthcare there is a growing desire for patients to own their medical records. Interestingly, this desire is not coming from patients, it's based on the view from medical practitioners that patient care and quality of life is directly influenced by the ability of patients to access and utilize their data. This view is core to the Precision Medicine Initiative, a White House program for personalizing healthcare treatment for individuals and groups that have historically been underrepresented. Its mission statement points out that "Success will require that health data is portable, that it can be easily shared between providers, researchers, and most importantly, patients and research participants"...
See here  to read the full article.

Linkurious Adds Support for AllegroGraph
Linkurious
Linkurious is an Enterprise class tool for visualizing graph data. Linkurious is a partner of the International Investigative Journalist Consortium (ICIJ) since the Swiss Leaks scandal. ICIJ network of 370 journalists is using Linkurious to investigate the Panama Papers. Integration with AllegroGraph is currently underway. The following images are of Linkurious screenshots displaying graph data stored in AllegroGraph. (Click the images to enlarge)

For additional information, please contact Linkurious

Gruff version 6.4 Now Available!
Gruff screen shot
New Features Include:
  • Fixed: In 6.3.3, dashes were not drawn where node labels are wrapped to multiple text lines and also at their start and end. This included not drawing the minus sign at the beginning of numeric literals.
  • There's a new "View | Web Interaction" child menu where all but the first command are new. Two of them will tell your web browser to search either the web or Wikipedia on the selected node's label. The other two will attempt to import either descriptions or images from DBpedia or Wikipedia (respectively) based on the selected node's label, and display them as linked nodes when any are found.
  • On the Mac, nodes can now be highlighted and unhighlighted by using the Command key along with a left click (and also dragging to "lasso" a group of nodes to highlight them). The standard gesture had not worked because the Control key is used instead, and a control-left-click on the Mac is interpreted as a logical right-click.
  • Various improvements when displaying images (pixmaps) on nodes: The new option "Visual Graph Options | Node Labels | Maximum Initial Node Pixmap Size" limits the initial size of a node that displays an image. When resizing an image node, its width-to-height ratio will be maintained to avoid distorting it. After resizing an image node you can go back to the state just before resizing it, without going back further. The icon in the lower-right corner of an image node is a resizing icon to indicate that you can drag that corner to resize the node. Fixed: Going back to an earlier state did not restore the earlier size of resized nodes.
  • Fixed: Path-finding in Gruff 6.3.3 and earlier breaks on AllegroGraph 6.1.0 and later when the user does not have the privilege for evaluating arbitrary code on the server.
  • Fixed: Doing a tree layout from a node that's connected with another copy of itself could draw the tree layout incorrectly and then cause an infinite recursion when moving the mouse over a node.
  • When selecting a predicate in the graphical query view, there's a new option for selecting any of the "magic properties" that Franz provides for enhancing SPARQL queries. (You may not be able to specify the end values that some of them need, though, except by editing the generated query text in the query view.)
  • User options are now saved automatically each time you explicity modify an option, to avoid losing changes when Gruff is closed in a way that it doesn't catch, such as with the close button in the title bar on the Mac (and maybe on GTK generally), or if Gruff or the machine should crash. Options are still saved at exit time as well. They are also saved when you save a view or open or create a database.
  • The somewhat obscure new option "Visual Graph Options | Constraint-Based Layout Options | Link to Node Ratio Limit" causes the spring layout algorithm to be used even for small numbers of nodes if the links-to-nodes ratio is high enough that the constraint-based algorithm is likely to take a while.
  • When a node is both selected and highlighted, two border colors are used to indicate that it is both, rather than only red to indicate that it's selected.
  • Fixed: In the store-opening dialog, if both the server and port are filled in and you proceed to modify both of them, Gruff would hang for a bit after you change one of them as it asked the mismatching server and port for its catalogs. This request is now always done asynchronously to avoid holding you up, though as a consequence you may now see the dialog appear before it has filled in the lists of catalogs and stores.
For additional information, see the Gruff Documentation

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We are Hiring
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allegrograph champion


White Papers

Franz was named as one of 21 NoSQL Innovators to Look for in 2020, in a post on The Wikibon technology research and advisory website because of its flagship RDF and Graph Database product, AllegroGraph.


Pfizer Logo
Graph databases, like AllegroGraph, are one of the new technologies encouraging a rapid re-thinking of the analytics landscape. By tracking relationships - in a network of people, organizations, events and data - and applying reasoning (inference) to the data and connections, powerful new answers and insights are enabled...

Recorded Webcast - Haystax presents: Advanced Analytic Techniques for Insider Threat Detection
The Malaysian State of Sabah's Biodiversity Center's (SaBC)  is using AllegroGraph to run the Sabah Biodiversity Integrated Information System (SaBIIS) AllegroGraph is the centralized RDF database used to integrate and store biodiversity data coming from more than 20 organizations that collect specimen data in different formats and schemas.
Read the press release here.
krste
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.
Information Management article - Why Data Lakes Require Semantics
Inside Analysis article - Events that Change the World


Recorded past Semantic Technologies Webinars: Recorded Webinars