James Matthew Fielding's research while affiliated with Université de Paris 1 Panthéon-Sorbonne and other places

... • there is an inconsistent reading of statements with respect to existential or universal quantification [35], • ontology and epistemology are mixed together in inappropriate ways [36]. ...

... Formal Representation of Knowledge is about building real world models of a certain domain or problem, and it enables reasoning and automatic interpretation (Fielding et al., 2004). These formal models, called ontologies, can be used in order to offer formal semantics (i.e. machine interpretable concepts) of every kind of information: database, catalogs, documents and web pages. ...

... 4 It is also an intent to return to a pre-Cartesian era through a more holistic mind-body The general aim of functional neuroimaging studies in pathology is to identify the circuits that serve as the site of the disordered brain functions underlying abnormal cognition or behavior associated with the conditions that can facilitate the transformation of these subjective experiences into the objectively observable signs of the disorders. 11,12 Several recent studies have used functional brain imaging techniques in the attempt to identify specific neural correlates associated with conversion symptoms, the review of which is given in the following section. ...

... In this paper, we focus on descriptive domains, where most information is mostly available in natural language (NL) form and comes parallel, i.e., the same objects or phenomena are described in multiple freestyled documents [3]. To some extent, the Web itself is a huge source of parallel descriptions. ...

... Una distinción similar a la de objetos y procesos, bajo las denominaciones de "endurants" y "perdurants", se encuentra enBittner & Smith (2004);Simon & Smith (2004);Smith (2005bSmith ( , 2005a. ...

... According to Guizzardi et al. [9], the use of foundational concepts that take truly ontological issues seriously is becoming more and more accepted in the ontological engineering literature. In addition, the authors state that, in order to represent a complex domain, one should rely on engineering tools (e.g., design patterns), modeling languages, and methodologies that are based on well-founded ontological theories in the philosophical sense (see [17,18], for instance). Especially in complex domains – i.e., domains with complex concepts, relations, and constraints – and in domains with potentially serious risks of interoperability problems (the domain specified in the ITU-T Recommendation G.805 fits in both cases), a supporting ontology engineering approach should be able to: a. allow the conceptual modelers and domain experts to be explicit, regarding their ontological commitments, which enables them to expose subtle distinctions between models to be integrated and to minimize the chances of running into a False Agreement Problem [19]; b. support the user in justifying their modeling choices and providing a sound design rationale for choosing how the elements in the universe of discourse should be modeled in terms of language elements [9]. ...

... The reason for this is to reutilise existing medical background knowledge formalised in such ontologies as the FMA (Rosse and Mejino, 2007) and terminologies as RadLex (Langlotz, 2006) and ICD-10. Different studies, e.g., or Marwede and Fielding (2007), came to the conclusion that biomedical ontologies and terminologies are applicable for indexing medical knowledge such as CT scans of the brain or radiograph reports of the shoulder. Annotations of medical data are stored as instances of well-defined OWL classes. ...

... Publicly available de-identified clinical data sets are now increasingly available for researchers. Community-wide standards for tagging and representation of NLP semantic constituents (e.g., concepts and relations) are being actively defined [10][11][12][13][14][15]. Cooperative publicly available toolkits and development environments are actively being contributed to and supported (e.g., Open Health NLP Consortium [16]). ...