Inside the FactMiners' Brain - Rainman Meet Sherlock

NOTE: In case you missed it, here is a link to a screencast of Kenny Bastani's webinar about using the Neo4j graph database in text classification and related Deep Learning applications. It's a fascinating introduction to some original work Kenny is doing that leverages the strengths of a property graph, in this case Neo4j, to do some Deep Learning text-mining and document classification.

Revisiting Robert Axelrod's Brilliant Ideas on Cooperation

Robert Axelrod and his two foundation-laying great books

Timlynn and I are intently focused on the incredible "serious fun" we and others are having as participants in the Ashoka/LEGO #Play2Learn - Re-imagine Learning Challenge. We're especially excited that both our projects made it to the Pacesetters Round of this global competition. Our entries are FactMiners – this site and project; the 'how' side of our activity – and The Softalk Apple Project – the 'what'/sandbox where we're doing FactMiners' applied research.

FactMiners and The Softalk Apple Project Are Ashoka/LEGO #Play2Learn Semi-Finalists!

We are very excited to announce that both FactMiners and The Softalk Apple Project have been selected as semi-finalist Pacesetter projects in the Ashoka/LEGO #Play2Learn Challenge. Selection as a Pacesetter comes after a thorough screening process in which 636 entries were considered. We are incredibly pleased to be moving on to the next phase of this Challenge.

CIDOC-CRM Meet METS/ALTO - A Recipe for FactMiners 'Fact Clouds' is very pleased to announce that we are adopting METS/ALTO as the "drill down" metadata and file/data format specifications that will guide our DSL (Domain Specific Language) extensions of the CIDOC-CRM as part of the design of the Open Source FactMiners LAM-based social-game platform.

Ashoka and LEGO Foundation Launch changemakers #Play2Learn: We're In! :-)

#Play2Learn logo of Ashoka changemakers and The LEGO Foundation

The legendary social enterprise incubator and advocacy organization, Ashoka, and LEGO Foundation have teamed up for a monumental #Play2Learn program. Here's the opening statement about this Changemaker Challenge:

In the face of critical and complex challenges, we believe that children and young people need to better develop creativity, imaginative problem-solving, teamwork, empathy, and inspiration so they can step into leadership roles in pursuit of purpose.

Karma to Take a LOD off FactMiners

Collage of photos of Karma is an amazing Open Source "multilingual" ontology-aware cross-model smart-mapper

Karma is an amazing Open Source "multilingual" ontology-aware cross-model smart-mapper providing "Rosetta Stone"-like powers to users coping with the ever-shifting publication of Linked Open Data (LOD). Karma is the evolving brilliant work from the incredible minds of the researcher-makers of the Information Sciences Institute at the University of Southern California. Karma will likely handle this critical component of the technology stack that implements the FactMiners social-game ecosystem. Proposals ACCEPTED for #MCN2014

We are EXTREMELY pleased to report that BOTH our proposals have been accepted for presentation at #MCN2014! In this post you will find copies of our two proposals for presentations at this year's Museum Computer Network conference to be held in Dallas in November. These proposals are being submitted as companion presentations which, together, will give a good overview of the Big Ideas (the people and organizations comprising our social game ecosystem) as well as the Nitty Gritty (the embedded metamodel subgraph design pattern) tech details about FactMiners.

Wishlist: A Metamodel Partition in Neo4j Graph Database

There are many reasons I had to explore the embedded metamodel subgraph design pattern for Neo4j databases in the first series of FactMiners ecosystem design documents.

My interest is grounded in my experience in the 1990's developing a pair of complementary Distributed Smalltalk frameworks to do what we called "executable business models." The basic idea was that if we came up with a super-elegant metamodel about how to do business processes AND STUCK TO IT no matter what on the server/executing-model side of things then the Desktop Visualization framework could dynamically generate what customer/users mistook for "applications." We found INCREDIBLE leverage in design-to-implementation and stakeholder buy-in (as what we built made sense to them... it was their mental model embodied in software).

We can bring this kind of leverage to graph databases, and I hope Neo4j will be the pioneer leader in this, by coming up with a community standard for an embedded metamodel subgraph feature.

FactMiners - ICOM CIDOC-CRM into Neo4j via Py2Neo at GitHub

The FactMiners social-game developers' community will use the ISO-standard Conceptual Reference Model of the international museum community for managing the underlying relationship between digital cultural heritage collection management and hosting a FactMiners Fact Cloud. The best way to make it easy for museums and archives to participate in the FactMiners community, is to provide a state-of-the-art flexible, extensible digital cultural heritage collection management platform.