Ontology Learning From Text PDF Download
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| Author | : Paul Buitelaar |
| Publisher | : IOS Press |
| Total Pages | : 188 |
| Release | : 2005 |
| Genre | : Computers |
| ISBN | : 9781586035235 |
Download Ontology Learning from Text Book in PDF, ePub and Kindle
The latest title in Black Library's premium line. Perturabo - master of siegecraft, and executioner of Olympia. Long has he lived in the shadow of his more favoured primarch brothers, frustrated by the mundane and ignominious duties which regularly fall to his Legion. When Fulgrim offers him the chance to lead an expedition in search of an ancient and destructive xenos weapon, the Iron Warriors and the Emperor's Children unite and venture deep into the heart of the great warp-rift known only as 'the Eye'. Pursued by a ragged band of survivors from Isstvan V and the revenants of a dead eldar world, they must work quickly if they are to unleash the devastating power of the Angel Exterminatus
| Author | : Philipp Cimiano |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 362 |
| Release | : 2006-12-11 |
| Genre | : Computers |
| ISBN | : 0387392521 |
Download Ontology Learning and Population from Text Book in PDF, ePub and Kindle
In the last decade, ontologies have received much attention within computer science and related disciplines, most often as the semantic web. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications discusses ontologies for the semantic web, as well as knowledge management, information retrieval, text clustering and classification, as well as natural language processing. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications is structured for research scientists and practitioners in industry. This book is also suitable for graduate-level students in computer science.
| Author | : Paul Buitelaar |
| Publisher | : IOS Press |
| Total Pages | : 292 |
| Release | : 2008 |
| Genre | : Computers |
| ISBN | : 1586038184 |
Download Ontology Learning and Population Book in PDF, ePub and Kindle
The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee.
| Author | : Alexander Maedche |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 253 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461509254 |
Download Ontology Learning for the Semantic Web Book in PDF, ePub and Kindle
Ontology Learning for the Semantic Web explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in Ontology Learning for the Semantic Web includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data. This data is necessary in order to support a semi-automatic ontology engineering process. Ontology Learning for the Semantic Web is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web.
| Author | : J. Lehmann |
| Publisher | : IOS Press |
| Total Pages | : 299 |
| Release | : 2014-04-03 |
| Genre | : Computers |
| ISBN | : 1614993793 |
Download Perspectives on Ontology Learning Book in PDF, ePub and Kindle
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.
| Author | : Christopher J. Hall |
| Publisher | : Cambridge University Press |
| Total Pages | : 403 |
| Release | : 2020-01-02 |
| Genre | : Foreign Language Study |
| ISBN | : 1108482538 |
Download Ontologies of English Book in PDF, ePub and Kindle
A critical examination of the ways in which English is conceptualised for learning, teaching, and assessment in a range of domains, from both social and cognitive perspectives. Researchers and postgraduates working on English in L1 and L2 educational contexts will find it valuable for research and collaboration.
| Author | : C. Maria Keet |
| Publisher | : |
| Total Pages | : 344 |
| Release | : 2018-11-07 |
| Genre | : Computer software |
| ISBN | : 9781848902954 |
Download An Introduction to Ontology Engineering Book in PDF, ePub and Kindle
An Introduction to Ontology Engineering introduces the student to a comprehensive overview of ontology engineering, and offers hands-on experience that illustrate the theory. The topics covered include: logic foundations for ontologies with languages and automated reasoning, developing good ontologies with methods and methodologies, the top-down approach with foundational ontologies, and the bottomup approach to extract content from legacy material, and a selection of advanced topics that includes Ontology-Based Data Access, the interaction between ontologies and natural languages, and advanced modelling with fuzzy and temporal ontologies. Each chapter contains review questions and exercises, and descriptions of two group assignments are provided as well. The textbook is aimed at advanced undergraduate/postgraduate level in computer science and could fi t a semester course in ontology engineering or a 2-week intensive course. Domain experts and philosophers may fi nd a subset of the chapters of interest, or work through the chapters in a different order. Maria Keet is an Associate Professor with the Department of Computer Science, University of Cape Town, South Africa. She received her PhD in Computer Science in 2008 at the KRDB Research Centre, Free University of Bozen-Bolzano, Italy. Her research focus is on knowledge engineering with ontologies and Ontology, and their interaction with natural language and conceptual data modelling, which has resulted in over 100 peer-reviewed publications. She has developed and taught multiple courses on ontology engineering and related courses at various universities since 2009.
| Author | : Gerhard Wohlgenannt |
| Publisher | : Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften |
| Total Pages | : 0 |
| Release | : 2011 |
| Genre | : Computers |
| ISBN | : 9783631606513 |
Download Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources Book in PDF, ePub and Kindle
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.
| Author | : Yonatan Ramni |
| Publisher | : |
| Total Pages | : 157 |
| Release | : 2017 |
| Genre | : |
| ISBN | : |
Download Ontology Learning : A Text Based Approach Book in PDF, ePub and Kindle
| Author | : P. Buitelaar |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2008 |
| Genre | : Computational linguistics |
| ISBN | : 9786000005092 |
Download Ontology Learning and Population Book in PDF, ePub and Kindle
The promise of the Semantic Web is that future web pages will be annotated not only with bright colors and fancy fonts as they are now, but with annotation extracted from large domain ontologies that specify, to a computer in a way that it can exploit, what information is contained on the given web page. The presence of this information will allow software agents to examine pages and to make decisions about content as humans are able to do now. The classic method of building an ontology is to gather a committee of experts in the domain to be modeled by the ontology, and to have this committee.
