Since its initial release in September, we have continued to refine Cognonto’s KBpedia knowledge structure that integrates six major knowledge bases (Wikipedia, Wikidata, OpenCyc, GeoNames, DBpedia and UMBEL), plus mappings to another 20 leading ones. KBpedia provides a foundation for knowledge-based artificial intelligence (KBAI) by supporting the (nearly) automatic creation of training corpuses and positive and negative training sets and feature sets for deep, unsupervised and supervised machine learning.
Our most recent efforts have been to expand the scope and completeness of KBpedia, largely based on filling gaps in the current structure using local Wikipedia categories. This ongoing effort is making sure that the overall KBpedia structure represents the best amalgam of structure and content from KBpedia’s contributing knowledge bases. There should be an announcement of a new KBpedia release arising from these current efforts soon.
However, in the process of enhancing the Cognonto Mapper for this expansion, two new use cases have resulted from our efforts. The first use case outlines how we have used the DeepWalk graph embedding model to expand KBpedia using Wikipedia category information. The second use case, again using DeepWalk, is a fast method for accurate concept disambiguation.
With these two additions, Cognonto now has eight diverse use cases:
- Document-specific word2vec Training Corpuses
- Text Classification Using ESA and SVM
- Dynamic Machine Learning Using the KBpedia Knowledge Graph
- Extending KBpedia With Wikipedia Categories
- Disambiguating KBpedia Knowledge Graph Concepts
- Leveraging KBpedia ‘Aspects’ To Generate Training Sets Automatically
- Benefits from Extending KBpedia with Private Datasets
- Mapping External Data and Schema.
Each use case is summarized according to the problem and our approach to solving it and the benefits that result. The use cases themselves present general workflows and code snippets for how the use case was tackled.
We will continue to publish use cases using Cognonto’s technologies and KBpedia as they arise. Also, stay tuned for the expanded KBpedia release.