Knowledge-Based Heuristics: Further Research is Required

Recently, I’ve blogged about:

In both cases, there’s a case to be made for combining heuristic with knowledge-based approaches.

Although I did find “heuristics” and “knowledge” juxtaposed in Googling for “knowledge-based heuristics”, I believe the tightly coupled examples I’ve described above have some degree of novelty.

Further research is required 🙂

A Bayesian-Ontological Approach for Fighting Spam

When it comes to fighting spam, Bayesian and ontological approaches are not mutually exclusive.

They could be used together in a highly complimentary fashion.

For example you could use Bayesian approaches, as they are implemented today, to build a spam ontology. In other words, the Bayesian approach would be extended through the addition of knowledge-representation methods for fighting spam.

This is almost the opposite of the Wikipedia-based approach I blogged about recently.

In the Wikipedia-based approach, the ontology consists of ham-based knowledge.

In the alternative I’ve presented here, the ontology consists of spam-based knowledge.

Both approaches are technically viable. However, it’d be interesting to see which one actually works better in practice.

Either way, automated approaches for constructing ontologies, as I’ve outlined elsewhere, are likely to be of significant applicability here.

Another point is also clear: Either way, this will be a computationally intensive activity!

An Ontological Approach for Fighting Spam

Over the years, I’ve been impressed by Bayesian methods for fighting spam.

And although Bayesian methods improve by learning, they are ultimately statistically based.

In what I believe to be a first, Technion Faculty of Computer Science researchers have revealed their plans to develop an ontologically based solution for fighting spam. Also of interest is the fact that their raw data will come from Wikipedia.

These researchers could use the approach I’ve outlined elsewhere to build their ontologies.

Ultimately, it’ll be interesting to see how well this knowledge-based approach compares with Bayesian and other approaches in common usage today.