Tuesday, October 4, 2016

#AllegroGraph News - October 2016



In this issue

AllegroGraph 6.1 - Now Available
franz logo

New Features Include:

  • Triple attributes: Triples can now have attributes which can provide fine access control. SeeTriple Attributes for more information.
  • Java 8 (or later) is required for the Java client. Earlier versions of Java are no longer supported.
  • Top Braid Composer (TBC) version 5.1.4 is now supported. See TopBraid Composer Plugin.

For additional information, see here

Gruff v6.3 - New Web Browser Capabilities
gruff screen shot
New Features Include:
  • This release features a preliminary version of Gruff support in web browsers, where any web browser can connect to Gruff and display its graph view. A menu bar containing a subset of the graph view commands allows browsing the database directly in the web browser. We would be interested to hear if you find this useful. To try it out, start up Gruff as usual and open a database, then use "Global Options | Communications | Start HTTP Server". Let's say that Gruff is running on a machine named hazel and you start its HTTP server on port 8008. You can then go to any web browser that can reach hazel and tell it to visit hazel:8008. The web browser should then display roughly the same thing as Gruff. You can then explore the commands that are on the menu bar in the web browser. Currently you must open a database in Gruff itself because the web browser interface does not yet have a command for selecting a store to open. This has mostly been tested on Firefox and Chrome so far.
  • The new option "Visual Graph Options | Tooltips | Highlight Links of Node Under Mouse" will highlight the links between the node that's under the mouse and its linked nodes. In a tree layout, it will highlight the entire paths between the node under the mouse and the root node as well as all of the node's descendants. This option is on by default. The delay before showing the highlighting can be set with the new option "Visual Graph Options | Tooltips | Highlighted Links Delay".
  • When "Text Search | Search the Current View" is used in the graph view, table view, or query view, the actual search text is now highlighted within the node or table cell, rather than highlighting only the whole node or cell. This aids spotting matches in long literals. This could be turned off with the new option "Visual Graph Options | Node Labels | Highlight Search Text in Nodes".
  • The new graphical query view right-click background pop-up menu commands "Convert Highlighted to Variable Nodes" and "Convert Highlighted to Variables with Types" allow converting multiple non-variable nodes to variables at once (after you highlight them by control-clicking each one).
  • Non-variable nodes in the graphical query view now use the same background colors as in the graph view to indicate their types, rather than using the same color for all non-variable nodes.
  • Fixed: When using "Graphical Query Non-Variable Node | Convert to Variable with Types" on a node that has no types, the variable node was given a filter that matches a variable to a type of that node, which typically would cause the query to have no solutions.
  • In various commands that require a selected node to act on, if there is no selected node then the command will now first let you select a recently-selected node to reselect and then act on.
  • When connecting to a SPARQL endpoint, Gruff will now know what named graph each triple is in and display it in the table view. Gruff will also work properly with an endpoint that does not include triples from named graphs in the default dataset for a query that does not use FROM or FROM NAMED clauses.
  • Fixed: Doing a tree layout when there are reification link lines could get into an infinite loop.
  • Fixed: Saving a query in the query view would break if the query contains "from" clauses.
  • Layouts can now be done in the graphical query view.
  • The new option "Global Options | Communications | Use Digest Authentication" causes communication with a SPARQL endpoint that requires a username and password to use the more secure "digest access authentication" (rather than basic). It's on by default, but could be turned off if a server doesn't support it. And previosly connecting to a SPARQL endpoint that requires authentication often did not work at all.
  • The new option "Global Options | Communications | Warn on Version Mismatch" shows a warning dialog if you open a database on an AllegroGraph server whose version does not match the version of the lisp client on which Gruff is built, because things will likely not work. It is on by default, but could be turned off to avoid the nuisance if a small version mismatch happens to work.
  • Fixed: The warning dialog for "Visual Graph Options | Inclusion Options | Number of Links from One Node for Warning" was sometimes issued when it shouldn't be because it was counting nodes that had been shown linked to the selected node, but then removed from the display later.
  • Fixed: Editing a node could break in a store that contains rdfs:domain and/or rdf:range triples in it, where objects of those triples have superclasses.

For additional information, see the Gruff Documentation

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

Join us at Knowledge Management World, Nov. 16th
KMW logo
The topic of the talk - Tools for Expanding KM Processes. In this high-speed digital era, organizations have to deal with high volumes of structured and unstructured data. New digital tools are being developed to help analyze and visualize this vast amount of data; however, many challenges still remain. Jans will discuss how graphs and KM have gained significant visibility with the rebirth of artificial intelligence and the emergence of cognitive computing. He discusses recent collaborations with Montefiore Health System, Intel, Cloudera, and Cisco to improve a patient's knowledge around the probabilities of their future health status. The knowledge creation stems from the capability to combine the probability space (statistical patient data) with a knowledgebase of comprehensive medical codes and a unified terminology system. The confluence 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.
To read more, see here.

Join us at Smart Data, Jan. 2017
logo
The Smart Data Conference is designed to accommodate all levels of technical understanding. It will bring together emerging disciplines that are focused on more intelligent information gathering and analysis. Franz CEO Jans Aasman will be participating as one of the featured speakers. The conference will be held at the Sofitel San Francisco Bay hotel in Redwood City - January 31 - February 1. Please join us.
To learn more about the conference and to register, see here.

Join us at Semantic Technology for Intelligence, Defense, and Security (STIDS), Nov. 15th.
logo
The 11th International Conference on Semantic Technology for Intelligence, Defense, and Security (STIDS 2016) will be held in November of 2016 at the George Mason University Fairfax, Virginia Campus. STIDS provides a forum for academia, government and industry to share the latest research on semantic technology for defense, intelligence and security applications. Semantic technology is a fundamental enabler to achieve greater flexibility, precision, timeliness and automation of analysis and response to rapidly evolving threats.
Franz will be conducting a tutorial at this conference. During the tutorial we will touch on other visualization tools, such as Linkurious and Gephi, and how they can be used to view the overall structure in your data. We will touch on ideas to use these tools collaboratively with Gruff and best practices for exploring large RDF datasets. Please join us.
To learn more about the conference and to register, see here.

Recent Articles about Franz - AllegroGraph 


Follow us on Google Plus, Twitter, LinkedIn, and YouTube 

Google+
Twitter


Brief Customer and News Highlights 







We're Hiring
We are Hiring! See here
HIMSS_logo



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

Monday, June 20, 2016

The Power of Cognitive Probability Graphs

#Graph Database

Webcast from June 15, 2016

Graphs and Artificial Intelligence have long been a focus for Franz Inc. and currently we are collaborating with Montefiore Health System, Intel, Cloudera, and Cisco to improve a patient's ability to understand the probabilities of their future health status. By combining artificial intelligence, semantic technologies, big data, graph databases and dynamic visualizations we are deploying a Cognitive Probability Graph concept as a means to help predict future medical events.
The power of Cognitive Probability Graphs stems from the capability to combine the probability space (statistical patient data) with a knowledge base of comprehensive medical codes and a unified terminology system. Cognitive Probability Graphs are remarkable not just because of the possibilities they engender, but also because of their practicality. The confluence of 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 for the healthcare field and we see numerous possibilities that exist across business verticals.
During the presentation we will describe the Cognitive Probability Graph concepts using a distributed graph database on top of Hadoop along with the query language SPARQL to extract feature vectors out of the data, applying R and SPARK ML, and then returning the results for further graph processing.

#AllegroGraph
#Graph Database
#NoSQL
#Artificial Intelligence

View a recording of this webcast here - 54 min.

Download the webcast presentation slides here

Wednesday, March 2, 2016

Franz Inc. named to KMWorld Magazine's 2016 "100 Companies that Matter in Knowledge Management"


As knowledge management evolves, so does their list of 100 Companies That Matter in KM. Featuring basic imaging technology when it was first published years ago, the list has expanded to include a galaxy of technologies and capabilities to meet the knowledge needs of a mobile workforce. Whether the designated companies specialize in collaborative, cloud or cognitive computing or a host of other categories, their solutions represent the best in innovation, creativity and functionality.
As the definition of knowledge management has changed over the years, so too has the list, including both familiar companies that have appeared multiple times and first-time recipients of the coveted designation. New or well known, all the companies offer solutions designed to help users and customers find what they need whenever and wherever they need it... and what they need is the ability to access, analyze and share crucial knowledge.
Read the full article here.

Monday, February 29, 2016

#AllegroGraph News - February 2016




In this issue

AllegroGraph 6.0 Now Available
franz logo

New Features Include:

  • Query Engine Optimizations:
    • Improved SPARQL Processing Efficiency, SPARQL Endpoints, and SPARQL Magic Properties
    • More efficient use of temporary disk space
    • Improved handling of very large result sets
  • Storage Layer Operations:
    • New Style2 Indices (optimizing point queries). See Style2Indices
    • Reduced I/O of some data types
    • Improved handling when out of disk space conditions exist
  • Enhanced Auditing (see Auditing)
  • Enhanced Online Backup and Restore (see Backup and Restore)
  • Improved operations with freetext indices (see Full-text Indices)
  • Python3 Client
  • Updated Sesame (2.7.11) and Jena (2.11.1), both clients that support Java 1.6.

For additional information, see here

Gruff v6.2 Available February 29
gruff screen shot
New Features Include:
  • The command "Display | Display an Instance Node by Class Hierarchy" has been enhanced to work with predicates other than subClassOf. The initial choices are rdfs:subClassOf, skos:narrower, skos:broader, and rdfs:subPropertyOf, and you can specify custom predicates that work similarly. Multiple predicates can be browsed at the same time. The root nodes for each predicate of each store are saved into the options file so that they will come back up more quickly when re-opening the store. The predicate choices and the ones that are currently selected for each store will also be remembered. For efficiency, by default the dialog will no longer automatically gray out nodes when they have no subclasses or show a hollow arrow when they have no instances; instead, an explicit "Update Annotations" button will do that only when you want, or you can turn on the new options "Global Options | Class Outline | Automatically Indicate Childless Classes" and/or "Global Options | Class Outline | Automatically Indicate Instanceless Classes" to keep those annotations updated as before. When selecting an instance of a class, the pop-up menu is placed near the current mouse cursor position.
  • The new option "Visual Graph Options | Tree Layout Options | Minimum Leaves for Splitting Columns" reduces the overall breadth of a tree layout by placing some single-parent leaf nodes beside others.
  • SPARQL queries can now be interrupted on Mac and Linux (as was implemented on Windows recently).
  • A loaded SPARQL query should work even when it used global namespace abbreviations that were defined when it was saved but not when it is reloaded.
  • When multiple custom tooltip properties are specified with "Global Options | Node Label Predicates | Custom Predicates for Node Comments", multiple matches for a node will be concatenated in the tooltip. Previously only the first match that was found was displayed.
  • Some modal dialogs will show full URIs in the status bar as you move the mouse over choices, to differentiate nodes or predicates that use the same short label. This includes the dialogs that are shown by the commands "Global Options | Select Current Predicates", "Display | Display an Instance Node by Class Hierarchy" and "Link | Display Linked Nodes from an Outline". You can also type Control-C in any of those modal dialogs to copy the selected node or predicate.
  • The new option "Global Options | Miscellaneous | Cancel Linked Nodes Outline on Mouse Out" controls whether moving the mouse out of the dialog that's shown by "Link | Display Linked Nodes from an Outline" will cancel the dialog. That's a quick convenience that had always been enabled, but is now disabled by default because it may be more annoying than useful.
  • The two panes at the bottom of the query view that list nodes and predicates that are explicitly mentioned in the query have been removed by default, because they're usually not worth the space that they occupy. But you can get them back with the new option "Query Options | Show Explicit Nodes from Query". The pane on the right side that contained only help text has been removed entirely.
  • Tabbing back to the query text widget will leave the text cursor or selected text as it was, rather than selecting all text. The "Select All" button or its keyboard shortcut Alt-A will still select all text.
  • Fixed: Node label properties were not being employed on nodes when they are RDF string values like "Foo Bar"^^.
  • Predicate paths are handled better when generating a visual graph from query results, using a pseudo-predicate for the whole path, similar to the handling of transitive predicates like subClassOf+.
  • Fixed: Pasting a predicate into query text could miss employing a namespace abbreviation for it when that abbreviation is newly defined.
  • Fixed: On AG 3.3, the newly simpler store-opening dialog still proceeded if the user canceled the dialog.
  • It's easier to mouse on a very narrow node to select it without hitting the node corner icons on either side.
  • The store-opening dialog will remember the values that you last selected for the Warm Up the Store options for each store.
  • CONSTRUCT queries are now handled (though not with SPARQL endpoints). The constructed triples will be browsable as part of an ad hoc federation with the currently open store, and so the store is not modified.
  • On Windows, SPARQL queries in the query view can now be canceled (though not for SPARQL endpoints or on Agraph 3.3). The "Run Query" button turns into a "Cancel Query" button to indicate this.
  • The new command "Help | Activity Logging" can be used to generate debugging information to send to Franz, especially for actions that take too long or if a bad state arises in the graph view.
  • When using "Display | Display a Class Node by Class Hierarchy" or "Display | Display an Instance Node by Class Hierarchy", you can now select multiple classes to display them all or an instance of each one.
  • The command "Link | Display Linked Nodes for the Current Predicates" is now more interruptible (with Escape or Q as usual).
  • Fixed: A few commands could sometimes take a long time due to accidentally not limiting the number of triples that they fetch from the server. These commands include "Display | Display an Instance Node by Class Hierarchy", "Edit | Edit Node by Type" and selecting a predicate according to domain and range specifications. (This was discovered by using the new activity logging.) You can also cancel Edit Node by Type as usual with Escape or Q if it's still taking too long.
  • Fixed: The background pixmap in the graph view could get lost and no longer displayed because it pointed to a file in an earlier version of Gruff that you deleted.
  • The table view will now indicate when the displayed set of triples is incomplete due to "Global Options | General Triple-Fetching Limit".
  • Miscellaneous refinements to the new lisp evaluation view. You can also now change the fonts on the Evaluation Options menu.
  • Still more tweaks to the new tree layout algorithm for neatness and reduced link lengths.
  • Other small efficiency improvements.

For additional information, see the Gruff Documentation

Franz Recognized Among Top 10 Analytics Solution Providers 2016 by Pharma Tech Outlook
Pharma Tech Outlook
Franz Inc. makes it to Pharma Tech Outlook's Top 10 Analytics Solution Providers list for its expertise in transforming data into knowledgeable insight.
The annual list showcases the Top 10 Analytics Solution Providers 2016. The positioning is based on evaluation of Franz Inc.'s specialties in providing high-performance, transactional, and highly scalable Graph Database that provides the solid storage layer for powerful enterprise grade NoSQL applications. The annual list of companies is selected by a panel of experts and members of Pharma Tech Outlook's editorial board to recognize and promote Technology entrepreneurship.
Franz Inc. has been selected after being evaluated across a dozen quantitative and qualitative elements. Experts have made the decision by taking to consideration, company's experience, industry recognition, technical certifications, market presence and positive client reviews. The company continued to break new ground within the past year benefiting its customers.
To read more, see here

Franz awarded Corporate America's Best in Semantic Web Technology - USA & Leader in Graph Database Products
Corporate America
Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology has been recognized As "Best in Semantic Web Technology - USA & Leader in Graph Database Products" by Corporate America Software and Technology.
"At Corporate America, it's our priority to showcase prominent professionals who are excelling in their industry and outperforming their competitors," said Hannah Stevenson, Managing Group Editor, AI Global Media. "Franz Inc. have a reputation for innovation, utilizing their expert knowledge to create complex and exciting Graph Database solutions. Franz's unique platforms offer highly scalable technologies for solving complex Big Data challenges."

Recent Articles about Franz - AllegroGraph 


Recorded Webcast - "Enriching the Property Graph with Relationship Objects"
supergraph
In many graph applications we find the link between two nodes is actually a complex object in itself. Property Graph Databases (i.e. Neo4j) try to solve this by putting attribute/values on the edges between nodes but unfortunately this is far too limited as the values cannot be nodes themselves.
Semantic Graph Databases solve this by creating 'Relationship Objects' between nodes. In our presentation we will describe four use cases where the Property Graph“≥ shortcomings were solved by using Relationship Objects. An online banking application, a fraud detection application for a European tax office, a machine learning application in healthcare and the CrunchBase investment database.
Working with these 'Relationship Objects' is very efficient because we employed a new 'Super Graph' pattern that summarizes connections between nodes in such a way that even in graphs with large branching factors we still can perform super fast search.
Another advantage of the relationship objects is that it makes it far more straightforward to interactively explore large graph space in an aesthetically pleasing way in Gruff, Franz's advanced graph visualization tool.
View this recorded webcast here.

Follow us on Google Plus, Twitter, LinkedIn, and YouTube 

Google+
Twitter


Brief Customer and News Highlights 







We're Hiring
We are Hiring! See here
HIMSS_logo



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