Learning Ontology Relations By Combining Corpus Based Techniques And Reasoning On Data From Semantic Web Sources
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Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources
Author: Gerhard Wohlgenannt
language: en
Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften
Release Date: 2011
The manual construction of formal domain conceptualizations (ontologies) is labor-intensive. Ontology learning, by contrast, provides (semi-)automatic ontology generation from input data such as domain text. This thesis proposes a novel approach for learning labels of non-taxonomic ontology relations. It combines corpus-based techniques with reasoning on Semantic Web data. Corpus-based methods apply vector space similarity of verbs co-occurring with labeled and unlabeled relations to calculate relation label suggestions from a set of candidates. A meta ontology in combination with Semantic Web sources such as DBpedia and OpenCyc allows reasoning to improve the suggested labels. An extensive formal evaluation demonstrates the superior accuracy of the presented hybrid approach.
The Cyber Meta-Reality
Author: Joshua A. Sipper
language: en
Publisher: Bloomsbury Publishing PLC
Release Date: 2022-04-04
As one begins to explore the many complexities of quantum computing, nanotechnology, and AI, it becomes clear that there is an underlying reality within cyberspace that is comprised of other realities and that these realities all have their own biomes, ecosystems, and microbiomes built on information, energy, and human creative reality and potential. It is clear that there has not been much research on this , especially the piece dealing with the cyber microbiome, which looks at the part of the iceberg that is “under the surface” and makes up most of cyberspace, much like how our human microbiome is many orders of magnitude larger than our human cells. The microbiome is extremely important from the perspective of how to treat diseases in humans, especially bacterial infections. The same is true for how to treat “diseases” in the cyber meta-reality. Thus, knowing all we can about the cyber meta-reality, biome, and microbiome is absolutely necessary in ensuring this world’s growth, care, and flourishing.
Perspectives on Ontology Learning
Perspectives on Ontology Learning brings together researchers and practitioners from different communities − natural language processing, machine learning, and the semantic web − in order to give an interdisciplinary overview of recent advances in ontology learning. Starting with a comprehensive introduction to the theoretical foundations of ontology learning methods, the edited volume presents the state-of-the-start in automated knowledge acquisition and maintenance. It outlines future challenges in this area with a special focus on technologies suitable for pushing the boundaries beyond the creation of simple taxonomical structures, as well as on problems specifically related to knowledge modeling and representation using the Web Ontology Language. Perspectives on Ontology Learning is designed for researchers in the field of semantic technologies and developers of knowledge-based applications. It covers various aspects of ontology learning including ontology quality, user interaction, scalability, knowledge acquisition from heterogeneous sources, as well as the integration with ontology engineering methodologies.