January 2004
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34 Reads
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3 Citations
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Publications (14)
January 2004
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116 Reads
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30 Citations
Software application ontologies have the potential to become the keystone in state-of-the-art information management techniques. It is expected that these ontologies will support the sort of reasoning power required to navigate large and complex terminologies correctly and efficiently. Yet, there is one problem in particular that continues to stand in our way. As these terminological structures increase in size and complexity, and the drive to integrate them inevitably swells, it is clear that the level of consistency required for such navigation will become correspondingly difficult to maintain. While descriptive semantic representations are certainly a necessary component to any adequate ontology-based system, so long as ontology engineers rely solely on semantic information, without a sound ontological theory informing their modeling decisions, this goal will surely remain out of reach. In this paper we describe how Language and Computing nv (L&C), along with The Institute for Formal Ontology and Medical Information Sciences (IFOMIS), are working towards developing and implementing just such a theory, combining the open software architecture of L&C's LinkSuite TM with the philosophical rigor of IFOMIS's Basic Formal Ontology. In this way we aim to move beyond the more or less simple controlled vocabularies that have dominated the industry to date.
January 2004
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56 Reads
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32 Citations
Software application ontologies have the potential to become the keystone in state-of-the-art information management techniques. It is expected that these ontologies will support the sort of reasoning power required to navigate large and complex terminologies correctly and efficiently. Yet, there is one problem in particular that continues to stand in our way. As these terminological structures increase in size and complexity, and the drive to integrate them inevitably swells, it is clear that the level of consistency required for such navigation will become correspondingly difficult to maintain. While descriptive semantic representations are certainly a necessary component to any adequate ontology-based system, so long as ontology engineers rely solely on semantic information, without a sound ontological theory informing their modeling decisions, this goal will surely remain out of reach. In this paper we describe how Language and Computing nv (L&C), along with The Institute for Formal Ontology and Medical Information Sciences (IFOMIS), are working towards developing and implementing just such a theory, combining the open software architecture of L&C's LinkSuiteTM with the philosophical rigor of IFOMIS's Basic Formal Ontology. In this way we aim to move beyond the more or less simple controlled vocabularies that have dominated the industry to date.
36 Reads
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7 Citations
The central hypothesis of the collaboration between Language and Computing ,(L&C) and the Institute for Formal Ontology and Medical Information Science (IFOMIS) is that the metho- dology,and conceptual ,rigor of a ,philosophically inspired formal,ontology ,will greatly benefit software ,application ontologies. To this end LinKBase®, L&C’s ontology, which is designed,to integrate ,and ,reason ,across various ,external databases simultaneously,has been submitted to the conceptual demands of IFOMIS’s Basic Formal Ontology (BFO). With this, weaim,to move,beyond the level of controlled vocabularies to yield an ontology ,with ,the ability to support ,reasoning applications. Our general procedure has been the implementa- tion of a meta-ontological definition space in which,the defini- tions of all ,the concepts ,and ,relations in LinKBase® are standardized in a framework,of first-order logic. In this paper wedescribe,how ,this standardization has already led to an improvement,in the LinKBase® structure that allows for map- ping external databases ,with a greater ,degree of coherence than hither. We then ,show how ,this offers a genuine ,advance over other application ontologies that have ,not submitted themselves to the demands,of philosophicalscrutiny.
Citations (8)
... • 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]. ...
- Citing Article
... 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. ...
- Citing Article
January 2004
... 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. ...
- Citing Article
December 2011
Philosophy, Psychiatry & Psychology
... 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. ...
- Citing Conference Paper
March 2004
Lecture Notes in Computer Science
... 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. ...
Reference:
ANÁLISIS ONTOLÓGICO DE LA COMPLEJIDAD
- Citing Conference Paper
January 2004
... 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]. ...
- Citing Conference Paper
January 2004
... 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. ...
- Citing Article
January 2007
Applied Ontology
... Simon et al. [81] also mention that there are understandable reasons for the ad hoc features of many biomedical ontologies (e.g., lack of systematic ontology engineering methods, the non-use a foundational ontology), and we agree with the author's point of view. Given the urgency to move from paper-based to digital systems, ontologists were forced "to make a series of uninformed decisions about complex ontological issues", which can be understood in the context of our work as the lack of empirical testing and formal rigour in ontology development. ...
- Citing Article
March 2006
International Journal of Medical Informatics
