We propose a semantic-driven architecture to improve EHR semantic interoperability. This architecture is constituted by five layers: structured heterogeneous data (i), as found in (un-)standardised clinical information models, which are consumed by a semantic mapping layer (ii), which links the data items to clinical ontologies via user-friendly content patterns. A semantic mediator (iii) then ...

Semantic trajectory pattern mining is becoming more and more important with the rapidly growing volumes of semantically rich trajectory data. Extracting sequential patterns in semantic trajectories plays a key role in understanding semantic behaviour of human movement, which can widely be used in many applications such as location-based advertising, road capacity optimisation, and urban plannin...

In this paper we present an automatic system for the extraction of syntactic semantic patterns applied to the development of multilingual processing tools. In order to achieve optimum methods for the automatic treatment of more than one language, we propose the use of syntactic semantic patterns. These patterns are formed by a verbal head and the main arguments, and they are aligned among langu...

In Software Engineering, patterns are an accepted way to facilitate and support reuse. This paper focuses on patterns in the field of Ontology Engineering and proposes a classification scheme for ontology patterns. The scheme divides ontology patterns into five levels: Application Patterns, Architecture Patterns, Design Patterns, Semantic Patterns, and Syntactic Patterns. Semantic and Syntactic...

In this paper, we present an unsupervised approach to automatically learn lexico-syntactic patterns encoding meronymy relations from texts. Our major contribution lies in alleviating the challenge of disambiguating polysemous patterns that encode meronymy only in some contexts. We rely on the linking theory to posit that semantic features of the Part and Whole instances participating in a meron...

One of the central questions in cognitive neuroscience is the precise neural representation, or brain pattern, associated with a semantic category. In this study, we explored the influence of audiovisual stimuli on the brain patterns of concepts or semantic categories through a functional magnetic resonance imaging (fMRI) experiment. We used a pattern search method to extract brain patterns cor...

High-quality and reusable ontologies are considered as key element of the Semantic Web and for successful semantic applications. Ontology Design Patterns (ODPs) are addressing these quality and reusability issues by providing different types of patterns supporting ontology designers. ODPs are collected in various repositories, such as the catalogue maintained by the University of Manchester and...

OBJECTIVE To develop a semantic representation for clinical research eligibility criteria to automate semistructured information extraction from eligibility criteria text. MATERIALS AND METHODS An analysis pipeline called eligibility criteria extraction and representation (EliXR) was developed that integrates syntactic parsing and tree pattern mining to discover common semantic patterns in 10...