Terminae Method and Integration Process for Legal Ontology Building

Desprès, Sylvie; Szulman, Sylvie

doi:10.1007/11779568_108

Cited by 12 publications

(8 citation statements)

References 4 publications

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“…Several approaches for describing, designing and formalizing ontologies for these application domains have been proposed by many authors. Models [26][27][28][29][30][31], browsers like Protégé 1 [32,33] or PlibEditor, 2 reasoners [34][35][36][37], annotators [38,39], XML-based translators [40,41] have been developed to engineer such ontologies and establish formal links with the studied domain objects like texts, images, videos, signals, . .…”

Section: Ontologies Are Good Candidates For Domain Knowledge Modelingmentioning

confidence: 99%

“…Automatic annotation proved powerful in the area of the semantic web and natural language processing where the entities of the corpus are words appearing in texts. Several tools (or annotators) have been developed for various ontologies and different natural languages [64,65,38,39,66]. Other approaches to annotate images and multi-media documents have also been developed [67].…”

Section: Ontologies and Annotationsmentioning

confidence: 99%

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Making explicit domain knowledge in formal system development

Aït‐Ameur

Méry

2016

Science of Computer Programming

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Constraints description constructs are offered by the ontology modeling language to define constraints on classes, properties or on whole ontology. In the engineering domain, the more the constraint description language is rich, the more the expressed concepts of the ontologies are precisely described. Checking these constraints depend on the used constraint solving techniques associated to the ontology modeling language.

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Section: Ontologies Are Good Candidates For Domain Knowledge Modelingmentioning

confidence: 99%

Section: Ontologies and Annotationsmentioning

confidence: 99%

Making explicit domain knowledge in formal system development

Aït‐Ameur

Méry

2016

Science of Computer Programming

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“…In [18][19][20][21], the authors use ontologies for raw data annotation in an informal context. Web pages and documents are annotated with semantic information formalized within linguistic ontologies.…”

Section: Related Workmentioning

confidence: 99%

Strengthening MDE and Formal Design Models by References to Domain Ontologies. A Model Annotation Based Approach

Hacid

Aït‐Ameur

2016

Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques

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Critical systems are running in heterogeneous domains. This heterogeneity is rarely considered explicitly when describing and validating processes. Handling explicitly such domain knowledge increases design models robustness due to the expression and validation of new properties mined from the domain models. This paper proposes a stepwise approach to enrich design models describing complex information systems with domain knowledge. We use ontologies to model such domain knowledge. Design models are annotated by references to domain ontologies. The resulting annotated models are checked. It becomes possible to verify domain-related properties and obtain strengthened models. The approach is deployed for two design model development approaches: a Model Driven Engineering (MDE) approach and a correct by construction formal modeling one based on refinement and proof using Event-B method. A case study illustrates both approaches (This work is partially supported by the French ANR-IMPEX project.).

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“…Meanwhile, it can support the refining and expanding of existing ontologies by incorporating new knowledge emerging from texts [2]. Terminae is an example of bottom-up approach to develop ontologies from textual resources using Natural Language Processing (NLP) techniques [5]. 2) Top-down: start from the most generic concept and build a structure by specialization [3].…”

Section: Existing Approaches For Building Legal Ontologiesmentioning

confidence: 99%

“…In Terminae, the knowledge modeling is based on the knowledge extraction or terminology extraction from textual resources. This methodology is widely used in projects for the legal domain such as Legal ontology for a European community legislative text [20] and a legislative project based on the creation of legal micro-ontologies [5].…”

Section: A Bottom-up Strategymentioning

confidence: 99%

Towards a Middle-out Approach for Building Legal Domain Reference Ontology

Ghosh¹,

Naja²,

Abdulrab³

et al. 2016

IJKE

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Abstract-This article presents a middle-out approach to build legal domain reference ontology for a Legal Knowledge Based System (LKBS). The proposed approach is a combination of top-down and bottom-up strategies. In particular, we propose to develop legal domain reference ontology, splitted into modules or fragments, based on merging two processes: Conceptual Modeling Process, by reusing foundational ontologies (top-down strategy) and Ontology Learning Process from textual resources (bottom-up strategy).Index Terms-Conceptual modeling, domain reference ontology, legal ontology, modularization, ontology learning.

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Terminae Method and Integration Process for Legal Ontology Building

Cited by 12 publications

References 4 publications

Making explicit domain knowledge in formal system development

Making explicit domain knowledge in formal system development

Strengthening MDE and Formal Design Models by References to Domain Ontologies. A Model Annotation Based Approach

Towards a Middle-out Approach for Building Legal Domain Reference Ontology

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