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A corpus-based conceptual clustering method for verb frames and ontology
TLDR
The ML system, ASIUM, which learns subcategorization frames of verbs and ontologies from syntactic parsing of technical texts in natural language is described, which is based on conceptual clustering. Expand
First experiences of using semantic knowledge learned by ASIUM for information extraction task using INTEX
TLDR
This article describes a first experiment of coupling an information extraction system based and the machine learning system ASIUM, to show how semantic knowledge learned for a specific domain can help the creating of a powerful Information extraction system. Expand
Knowledge Acquisition of Predicate Argument Structures from Technical Texts Using Machine Learning: The System ASIUM
TLDR
A cooperative ML method is proposed which provides the user with a global view of the acquisition task and also with acquisition tools like automatic concepts, example generation, and an ontology view with attachments to the verbs so that the user validates the concepts as they are learned. Expand
ASIUM: Learning subcategorization frames and restrictions of se-18 lection
TLDR
The ML system, Asium, which learns subcategorization frames of verbs and ontologies from syntactic parsing of technical texts in natural language is described, based on conceptual clustering. Expand
Acquisition of Semantic Knowledge using Machine learning methods: The System ASIUM Technical report
TLDR
The ML system ASIUM which acquires semantic knowledge from parsed technical texts, based on conceptual and hierarchical clustering, is described which gives very encouraging results. Expand
Conceptual Framework for Hybrid Situational Awareness in Critical Port Infrastructures
TLDR
This article presents a framework implementing a holistic approach towards situational awareness for critical infrastructures and focuses on the inter-domain propagation of a failure, i.e., the effects of a physical incident on the cyber domain and vice versa. Expand
User Interface eXtensible Markup Language SIG
TLDR
This Special Interest Group is aimed at presenting User Interface eXtensible Markup Language (UsiXML), a particular UIDL that is of interest to a wide audience and will present the potential benefits so that everyone can use it. Expand
User interface extensible markup language
This workshop is aimed at investigating open issues in research and development for user interface engineering based on User Interface eXtensible Markup Language (UsiXML), a XML-compliant UserExpand
The Identification and Creation of Ontologies for the Use in Law Enforcement AI Solutions - MAGNETO Platform Use Case
TLDR
The Magneto ontology is proposed – a solution built as a crucial part of the Magneto project, developed on top of well-established ontologies dealing with people, events and security incidents, bearing in mind the heterogenous nature of the myriad of data sources as the starting point. Expand
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