- Authors:
- P. Buitelaar,
- P. Buitelaar,
- P. Cimiano
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.IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish in: -Biomedicine -Oncology -Artificial intelligence -Databases and information systems -Maritime engineering -Nanotechnology -Geoengineering -All aspects of physics -E-governance -E-commerce -The knowledge economy -Urban studies -Arms control -Understanding and responding to terrorism -Medical informatics -Computer Sciences
Cited By
Liao X and Zhao Z (2019). Unsupervised Approaches for Textual Semantic Annotation, A Survey, ACM Computing Surveys, 52:4, (1-45), Online publication date: 31-Jul-2020.- Booshehri M and Luksch P Towards linked open data enabled ontology learning from text Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services, (252-256)
- Booshehri M and Luksch P An Ontology Enrichment Approach by Using DBpedia Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics, (1-11)
- Azevedo R, Freitas F, Rocha R, Menezes J, Rodrigues C and Silva G An Approach for Learning and Construction of Expressive Ontology from Text in Natural Language Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 01, (149-156)
- de Azevedo R, Freitas F, Rocha R, de Menezes J, Rodrigues C and Gomes M Towards a framework for ontology learning from interactions in natural language and reasoning Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, (120-132)
- Azevedo R, Freitas F, Rocha R, Menezes J and Pereira L An Approach for Automatic Expressive Ontology Construction from Natural Language Proceedings of the 14th International Conference on Computational Science and Its Applications — ICCSA 2014 - Volume 8584, (746-759)
- Aufaure M What's Up in Business Intelligence? A Contextual and Knowledge-Based Perspective Proceedings of the 32nd International Conference on Conceptual Modeling - Volume 8217, (9-18)
- Abedjan Z, Lorey J and Naumann F Reconciling ontologies and the web of data Proceedings of the 21st ACM international conference on Information and knowledge management, (1532-1536)
- Jiang X, Huang Y, Nickel M and Tresp V Combining information extraction, deductive reasoning and machine learning for relation prediction Proceedings of the 9th international conference on The Semantic Web: research and applications, (164-178)
- Gil R and Martin-Bautista M (2012). A novel integrated knowledge support system based on ontology learning, Knowledge-Based Systems, 36, (340-352), Online publication date: 1-Dec-2012.
- Zouaq A, Gasevic D and Hatala M Ontologizing concept maps using graph theory Proceedings of the 2011 ACM Symposium on Applied Computing, (1687-1692)
- Burzagli L, Gabbanini F and Emiliani P Adaptations based on ontology evolution as a mean to exploit collective intelligence Proceedings of the 6th international conference on Universal access in human-computer interaction: design for all and eInclusion - Volume Part I, (327-336)
- Kim J and Storey V (2011). Construction of Domain Ontologies, International Journal of Intelligent Information Technologies, 7:2, (1-24), Online publication date: 1-Apr-2011.
- Fanizzi N (2011). Concept Induction in Description Logics Using Information-Theoretic Heuristics, International Journal on Semantic Web & Information Systems, 7:2, (23-44), Online publication date: 1-Apr-2011.
- Gil R and Martín-Bautista M An ontology-learning knowledge support system to keep e-organization's knowledge up-to-date Proceedings of the Second international conference on Electronic government and the information systems perspective, (249-263)
- Spyns P Assessing iterations of an automated ontology evaluation procedure Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II, (1145-1159)
- Giuliano C, Gliozzo A, Gangemi A and Tymoshenko K Acquiring thesauri from wikis by exploiting domain models and lexical substitution Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II, (121-135)
- Banek M, Jurić D and Skočir Z Learning semantic n-ary relations from Wikipedia Proceedings of the 21st international conference on Database and expert systems applications: Part I, (470-477)
- Nováček V and Handschuh S Biomedical publication knowledge acquisition, processing and dissemination with CORAAL Proceedings of the 2010 international conference on On the move to meaningful internet systems: Part II, (1126-1144)
- d'Amato C, Fanizzi N, Fazzinga B, Gottlob G and Lukasiewicz T Combining semantic web search with the power of inductive reasoning Proceedings of the 4th international conference on Scalable uncertainty management, (137-150)
- Spyns P Reflecting on a process to automatically evaluate ontological material generated automatically Proceedings of the 2010 international conference on On the move to meaningful internet systems, (606-615)
- Francesconi E, Montemagni S, Peters W and Tiscornia D Integrating a bottom–up and top–down methodology for building semantic resources for the multilingual legal domain Semantic Processing of Legal Texts, (95-121)
- Völker J and Rudolph S Fostering Web Intelligence by Semi-automatic OWL Ontology Refinement Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01, (454-460)
- Svátek V, Rauch J and Ralbovský M Ontology-Enhanced association mining Proceedings of the 2005 joint international conference on Semantics, Web and Mining, (163-179)
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