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Ontologies in Medicine
Title Page -- Contents -- If Ontology is the Solution, What is the Problem? -- Biodynamic Ontology: Applying BFO in the Biomedical Domain -- Bodily Systems and the Spatial-Functional Structure of the Human Body -- Inflammation Ontology Design Pattern: An Exercise in Building a Core Biomedical Ontology With Descriptions and Situations -- Context-Based Task Ontologies for Clinical Guidelines -- An Ontological Framework for the Implementation of Clinical Guidelines in Health Care Organizations -- Gene Ontology Application to Genomic Functional Annotation, Statistical Analysis and Knowledge Mining -- Evolving from Standard Vocabularies to Formal Ontology for an Information System Dedicated to Organ Transplantation -- Mistakes in Medical Ontologies: Where Do They Come From and How Can They Be Detected? -- Author Index
Law, Ontologies and the Semantic Web
Based on workshops and conferences on Artificial Intelligence (AI) and Law, this work deals with legal ontologies and Semantic Web applications, covering both theoretical aspects and practical systems.
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.
Approaches to Legal Ontologies
The book provides the reader with a unique source regarding the current theoretical landscape in legal ontology engineering as well as on foreseeable future trends for the definition of conceptual structures to enhance the automatic processing and retrieval of legal information in the Semantic Web framework. It will thus interest researchers in the domains of the SW, legal informatics, Artificial Intelligence and law, legal theory and legal philosophy, as well as developers of e-government applications based on the intelligent management of legal or public information to provide both back-office and front-office support.
Legal Knowledge and Information Systems
This volume contains the proceedings of the Nineteenth JURIX Conference on Legal Knowledge and Information Systems (JURIX 2006). The large number of submissions shows that the interdisciplinary community is still growing and active. This volume again covers a broad range of topics. Argumentation is central to legal reasoning and therefore it is no surprise that researchers have focused on computational theories of argumentation. In this book four papers are dedicated to this topic. Typical to the legal field is the use of written knowledge sources, especially legal sources. These have been subject to AI & Law research for a long time, varying from structuring and accessing legal sources to u...
The Semantic Web: Research and Applications
This book constitutes the refereed proceedings of the 4th European Semantic Web Conference, ESWC 2007, held in Innsbruck, Austria, in June 2007. Coverage includes semantic Web services, ontology learning, inference and mapping, social semantic Web, ontologies, personalization, foundations of the semantic Web, natural languages and ontologies, and querying and Web data models.
Content Ontology Design Patterns: Qualities, Methods, and Tools
Ontologies are formal knowledge models that describe concepts and relationships and enable data integration, information search, and reasoning. Ontology Design Patterns (ODPs) are reusable solutions intended to simplify ontology development and support the use of semantic technologies by ontology engineers. ODPs document and package good modelling practices for reuse, ideally enabling inexperienced ontologists to construct high-quality ontologies. Although ODPs are already used for development, there are still remaining challenges that have not been addressed in the literature. These research gaps include a lack of knowledge about (1) which ODP features are important for ontology engineering...
Legal Knowledge and Information Systems
The 25th edition of the JURIX conference was held in the Netherlands from the 17th till the 19th of December and was hosted by the University of Amsterdam. This year submissions came from 25 countries covering Europe, the Americas, Asia and Australia. These proceedings contain sixteen full and five short papers that were selected for presentation. As usual they cover a wide range of topics. The majority of contributions deals with formal or computational models of legal argumentation and reasoning: questions of coherence, evidential reasoning, visualisation of argumentation and formal representations of legal narratives are amongst other issues addressed. Another group of papers is centred on representing the semantics of sources of law, to facilitate legislative drafting, information retrieval or “data protection by design”. A third group of papers goes beyond the more technical aspects of legal information systems and asks fundamental questions about the nature of legal expert systems or the concept of rights.
Applications and Practices in Ontology Design, Extraction, and Reasoning
Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. They have been in use for several years now, and knowledge extraction and knowledge discovery are two key aspects investigated in a number of research fields which can potentially benefit from the application of semantic web technologies, and specifically from the development and reuse of ontologies. This book, Applications and Practices in Ontology Design, Extraction, and Reasoning, has as its main goal the provision of an overview of application fields for semantic web technologies. In particular, it investigates how state-of-the-art formal languages, models, met...
