Blog Posts

Franz’s CEO, Jans Aasman, recently wrote the following article for InfoWorld. When working with various data types at the speed of big data, this method is ideal for integrating and aggregating assorted information for the holistic value it provides. The issue of schema—and what is frequently perceived as its inherent difficulties—is becoming more important every … Continue reading The marvels of an event-based schema →

Franz periodically distributes newsletters to its Semantic Technologies, and Common Lisp based Enterprise Development Tools mailing lists, providing information on related upcoming events and new software product developments. Read our latest AllegroGraph newsletter. Previous issues are listed in the Newsletter Archive.

Franz’s CEO, Jans Aasman, recently wrote the following article for InfoWorld. In addition to streamlining how users retrieve diverse data via automation capabilities, a knowledge graph standardizes those data according to relevant business terms and models One of the most significant results of the big data era is the broadening diversity of data types required to solidify … Continue reading Harmonizing big data with an enterprise knowledge graph →

Release 6.4.0 is a major release with significant new features. The most important and far-reaching change is support for multi-master replication. AllegroGraph has long supported single-master replication, where several AllegroGraph instances share data in a repository, but only one of them can make changes (adding or deleting triples). In multi-master replication, even though one instance is identified … Continue reading AllegroGraph v6.4 – Now Available →

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 … Continue reading Gruff v7.0 – Time Machine Tutorial →

Our Healthcare Partners at Montefiore were interviewed at Health Analytics: Reliable metadata is the key to leveraging semantic computing and predictive analytics for healthcare applications, such as population health management and crisis care. As the healthcare industry reaches the saturation point of electronic health record adoption, and slowly moves past the pain of the implementation … Continue reading Semantic Computing, Predictive Analytics Need Reliable Metadata →

Montefiore Medical Center is preparing to launch a sophisticated predictive analytics program for crisis patients, which is rooted in its real-time semantic data lake technology. Semantic computing is becoming a hot topic in the healthcare industry as the first wave of big data analytics leaders looks to move beyond the basics of population health management, … Continue reading Montefiore Semantic Data Lake Tackles Predictive Analytics →

We’ve all heard the saying, “a picture says a thousand words.” With today’s millisecond attention spans, communicating a complex topic to any audience – business professional, consumer, doctor, investor, policy-maker, voter — has become more challenging than ever. Some industries are now taking this seriously and investing in new data visualization techniques. Data visualization is … Continue reading Making Big Data More Meaningful through Data Visualization →

From HealthIT Analytics – As healthcare providers navigate the treacherous transitional waters of Stage 2 and try to predict how future regulations will shape their actions, the need to lay the groundwork for advanced population health management and accountable care is only becoming clearer. No matter what the outcome of debates about the future course … Continue reading Semantic Big Data Lakes Can Support Better Population Health →

From Managed Healthcare Executive: The Montefiore Medical Center in Bronx, New York, has partnered with Franz, Inc., Intel, Cloudera, and Cisco to transform statistical databases, such as spreadsheets, into interactive graph databases that can be used to make better informed and predictive healthcare decisions. Aasman“If you are in a hospital and have millions of patients, … Continue reading Making sense of big data: Data projects spur progress →