Metamodeling

FactMiners' Fact Cloud and Witmore's Text as Massively Addressable Object

I've just published a long-read, Deep Weedsy piece on Medium.com entitled: "FactMiners' Fact Cloud and Witmore's Text as Massively Addressable Object". I welcome your reading and especially comments and questions.

My purpose in writing this article is two-fold:

  • As a backgrounder/profile -- a 'manifesto' of sorts -- that I hope Robert Miller of the Internet Archive will have a chance to read before we meet next week at #DPLAfest.

Our #MCN2014 Presentation Exploring Metamodel Subgraphs - GraphGist Edition

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We invite you to view the Neo4j-based "GraphGist Edition" of our recent #MCN2014 presentation about FactMiners and The Softalk Apple Project at the annual conference of the Museum Computer Network.

We again thank the Museum Computer Network Association and PICTION for sponsoring our Emerging Professional scholarship that enabled Jim Salmons and Timlynn Babitsky to attend the conference on behalf of our projects to learn, network with Kindred Spirits, and make our presentation to the museum technology community. The opportunity to attend this excellent conference was phenomenal and will be a source of enthusiasm and inspiration for our continued evolution of our grassroots Citizen Science/History projects.

Our FactMiners & Softalk Magazine Presentation at #MCN2014

We invite you to view the "Lively Talkin' Slide" Edition of our recent presentation about FactMiners and The Softalk Apple Project at #MCN2014, the premiere museum informatics conference. We again thank the Museum Computer Network Association and PICTION for sponsoring our Emerging Professional scholarship that enabled Jim Salmons and Timlynn Babitsky to attend the conference to learn, network with Kindred Spirits, and make our presentation to the museum informatics community. The opportunity for growth of both our projects was phenomenal and will be a source of enthusiasm for our continued evolution of these grassroots Citizen Science/History projects.

Thoughts on CIDOC-CRM Classes: "Oops, who put all this Time Stuff in my Box of Things!?"

I am using the CIDOC-CRM – the Conceptual Reference Model developed by the International Council of Museums – as the primary domain reference model guiding design and development of the FactMiners social-game platform. In a recent post I looked at the Conceptual Reference Model from a "pure graph" perspective, re-imagining the CRM's Property Declarations as "just another" labeled subset of model elements, that is, as just another important subset of CRM Classes. In this post, I explore the "entity-ness" of the CIDOC-CRM Class Declarations.

Thoughts on a Graph Representation of the CIDOC-CRM: Property Declarations

I am having an interesting time looking at the CIDOC-CRM – the Conceptual Reference Model for museums developed by the International Council of Museums (ICOM). In particular, as generally described in my last post, I am looking at the CIDOC-CRM with a "pure graph" lens on a metamodel developed with an object-oriented perspective. In this post, I take a closer look at what "node-ifying" the CIDOC-CRM Property Declarations would look like and why this is a potentially powerful idea.

On "Node-ifying" Relations in a Neo4j Graph Database of the CIDOC-CRM

One aspect of the metamodel subgraph design pattern we are using for the FactMiners Fact Cloud is a graph transformation that can be viewed as "node-ifying" a relationship. That is, if our source database has a relationship, we model the relationship as a node in the metamodel so we can more fully model the relationship. In this post I explore an aspect of the UI view of such an approach and wonder if Structr and KeyLines could be used to create an intuitive and easy-to-use visualization of such a dynamic graph transformation at the view level. My particular interest here is use this design pattern to create a Neo4j-based exploratory viewer on the CIDOC-CRM.

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.

CIDOC-CRM Meet METS/ALTO - A Recipe for FactMiners 'Fact Clouds'

FactMiners.org 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.

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