Blog Profile / AI3


URL :http://www.mkbergman.com
Filed Under:Programming / Web Development
Posts on Regator:150
Posts / Week:0.4
Archived Since:August 23, 2011

Blog Post Archive

Desiderata for Knowledge Graphs

Knowledge graphs (aka 'ontologies') are all the rage, playing a central role in search services and virtual agents across the Web. As I argue in this article, knowledge graphs are still in their infancy. I present 9 capabilities I would like to see knowledge graphs fulfill as they mature.

30 Active Ontology Alignment Tools

I update my periodic listing of ontology alignment tools to now include 30 active ones.

More Connected Than You Think

New research study of 300 mouse neurons shows amazing complexity and connectedness, with a cool browser to manipulate what has been discovered so far; has implications for physical reality modeling of digital cognition and intelligence systems.

What is Representation?

Representations are signs and the means by which we point to, draw or direct attention to, or designate, denote or describe a particular object, entity, event, type or general. We draw on Charles S. Peirce to provide guidance as to how best characterize and use them for the purposes of knowledge representation.

Hierarchies in Knowledge Representation

Structure needs to be a tangible part of thinking about a new knowledge representation (KR) installation, since many analytic choices need to be supported by the knowledge artifact. Different kinds of structure are best for different tools or kinds of analysis. Show More Summary

How I Interpret C.S. Peirce

In this article, I discuss the methods and approach -- the methodeutic -- that I use to interpret Charles Sanders Peirce's writings. First, I try to read as much by him and about his writings as I can. Second, I do not treat his writings as gospel. Show More Summary

Pulse: KBpedia v 151 Released

A minor update to KBpedia (v 151) was released today. KBpedia exploits large-scale knowledge bases and semantic technologies for machine learning, data interoperability and mapping, and fact extraction and tagging.

How I Study C.S. Peirce

Start with the very good Charles Sanders Peirce article and his category on Wikipedia; then, read The Essential Peirce, Vol 1, with attention to Nathan Houser’s great introduction; and, for a complete view, read the fair and well-reasoned views of Peirce in Murphey’s The Development of Peirce’s Philosophy.

Why I Study C.S. Peirce

I attempt to explain my decades-long fascination with Charles Sanders Peirce and why I think it is important to study him in the areas of metaphysical truths and knowledge representation.

KBpedia v 150 Released

We today released a new version of KBpedia (v 150) that adds an entire predicates capability and modeled relations to the knowledge structure. KBpedia combines six major, public knowledge bases into a computable whole. The structure is designed to support knowledge-based artificial intelligence (KBAI) and machine learning.

KBpedia Relations, Part V: The Updated KBpedia Grammar

This last part in a series of articles on adding relations to KBpedia covers the updated grammar for the knowledge structure resulting from these additions. The article enables us to re-ground KBpedia in the universal categories of Firstness, Secondness and Thirdness of Charles Sanders Peirce.

KBpedia Relations, Part IV: The Detailed Relations Hierarchy

This article completes the hierarchical specification of the new Predications branch within KBpedia, used for reasoning over relations and mapping properties from external sources. These 39 categories (3 + 9 + 27), follow the categorization...Show More Summary

KBpedia Relations, Part III: A Three-Relations Model

The KBpedia relations model is split into three main branches: Attributes, External Relations and Representations. This article in our series introducing KBpedia's new relations model describes each of these trichotomous branches in detail, and provides the design rationale based on Charles S. Peirce's universal categories.

KBpedia Relations, Part II: An Event-Action Model

How we model or represent relations is one of the critical design choices in a knowledge graph. In this Part II of our ongoing series on KBpedia relations, we discuss the event-action model underlying our characterization of direct relations. Much of this part relies on the writings of Charles Sanders Peirce.

Pulse: A Major Survey of KBAI

This is the Place to Start with the Academic Literature Dan Roth and his former post-doc, Yangqiu Song, yesterday released a major paper on machine learning with knowledge bases, “Machine Learning with World Knowledge: The Position and Survey” [1]. This 20-page paper with 250 references is a goldmine of starting points and a useful organizational […]

KBpedia Relations, Part I: Smarter Knowledge Graphs

We are working on our next release of KBpedia, the knowledge structure that knits together six major public knowledge bases for the purpose of speeding machine learning and providing a scaffolding for data interoperability. This first...Show More Summary

Fare Thee Well, OpenCyc

OpenCyc is no longer available to the public. Without notice and with only some minor statements on Web pages, Cycorp has pulled OpenCyc from the marketplace. It appears this change occurred in March 2017. After 15 years, the abandonment of OpenCyc represents the end of one of the more important open source knowledge graphs of the early semantic Web.

New Cognonto Entry Page

Cognonto announces a new entry page for its Web site.

Uses and Control of Inferencing in Knowledge Graphs

There are many methods available via SPARQL and SWRL to narrow or broaden knowledge graph searches in order to target the best focused results. Some of these methods are described in this article.

The Importance of Semsets in Knowledge Graph Design

The use of semsets -- that is, any label that draws attention to a given thing, such as synonyms -- are a best practice for characterizing the nodes and edges in a knowledge graph. Semsets reinforce the idea of "things not strings" in enabling a KG to be a common understanding of a shared domain.

Copyright © 2015 Regator, LLC