Ontology Learning from Text
Title | Ontology Learning from Text PDF eBook |
Author | Paul Buitelaar |
Publisher | IOS Press |
Total Pages | 188 |
Release | 2005 |
Genre | Computers |
ISBN | 9781586035235 |
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
Ontology Learning and Population from Text
Title | Ontology Learning and Population from Text PDF eBook |
Author | Philipp Cimiano |
Publisher | Springer Science & Business Media |
Total Pages | 362 |
Release | 2006-12-11 |
Genre | Computers |
ISBN | 0387392521 |
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.
Ontology Learning and Population: Bridging the Gap Between Text and Knowledge
Title | Ontology Learning and Population: Bridging the Gap Between Text and Knowledge PDF eBook |
Author | P. Buitelaar |
Publisher | IOS Press |
Total Pages | 292 |
Release | 2008-01-31 |
Genre | Computers |
ISBN | 1607502968 |
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 agree on which concepts cover the domain, on which terms describe which concepts, on what relations exist between each concept and what the possible attributes of each concept are. All ontology learning systems begin with an ontology structure, which may just be an empty logical structure, and a collection of texts in the domain to be modeled. An ontology learning system can be seen as an interplay between three things: an existing ontology, a collection of texts, and lexical syntactic patterns. The Semantic Web will only be a reality if we can create structured, unambiguous ontologies that model domain knowledge that computers can handle. The creation of vast arrays of such ontologies, to be used to mark-up web pages for the Semantic Web, can only be accomplished by computer tools that can extract and build large parts of these ontologies automatically. This book provides the state-of-art of many automatic extraction and modeling techniques for ontology building. The maturation of these techniques will lead to the creation of the Semantic Web.
Ontology Learning for the Semantic Web
Title | Ontology Learning for the Semantic Web PDF eBook |
Author | Alexander Maedche |
Publisher | Springer Science & Business Media |
Total Pages | 253 |
Release | 2012-12-06 |
Genre | Computers |
ISBN | 1461509254 |
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.
Ontology Learning and Population
Title | Ontology Learning and Population PDF eBook |
Author | Paul Buitelaar |
Publisher | IOS Press |
Total Pages | 292 |
Release | 2008 |
Genre | Computers |
ISBN | 1586038184 |
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.
Perspectives on Ontology Learning
Title | Perspectives on Ontology Learning PDF eBook |
Author | J. Lehmann |
Publisher | IOS Press |
Total Pages | 299 |
Release | 2014-04-03 |
Genre | Computers |
ISBN | 1614993793 |
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.
Ontologies of English
Title | Ontologies of English PDF eBook |
Author | Christopher J. Hall |
Publisher | Cambridge University Press |
Total Pages | 403 |
Release | 2020-01-02 |
Genre | Foreign Language Study |
ISBN | 1108482538 |
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.