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Formal Ontology and Information Systems (1998)

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by Nicola Guarino
Citations:897 - 11 self
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3362 A translation approach to portable ontologies - Gruber - 1993 (Show Context)

Citation Context

...ng a specific role in Artificial Intelligence, Computational Linguistics, and Database Theory. In particular, its importance is being recognized in research fields as diverse as knowledge engineering =-=[20,45,15,18]-=-, knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-ori...

2253 WordNet: a lexical database for English - MILLER - 1995 (Show Context)

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...of a database. At the development time, an ontology can play an important role in the requirement analysis and conceptual modelling phase, especially if integrated with lexical resources like WordNet =-=[36]-=- in order to support the analysis of natural language informal specifications [29,1,11,47]. The resulting conceptual model can be represented as a computer processable ontology and from there mapped t...

2001 Toward principles for the design of ontologies used for knowledge sharing - Gruber - 1995 (Show Context)

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...tructure <D,R>, where D is a domain and R is a set or relevant relations on D 6 . This definition has been then used by Tom Gruber, who defined an ontology as “a specification of a conceptualization=-=” [21]-=-. Together with Pierdaniele Giaretta, I have discussed such a definition in [27], arguing that, in order for it to have some sense, a different, intensional account of the notion of conceptualization ...

678 Principles of artificial intelligence - Nilsson - 1980 (Show Context)

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... where R wC ={ρ(w) | ρ∈ℜ } is the set of extensions (relative to w) of the elements of ℜ. We shall denote with S C the set {S wC | w∈W} all the intended world structures of C. 6 In a subsequ=-=ent paper [37], Nils N-=-ilsson stresses the importance of the conceptualization for a modeling task. 7 For instance, the two relations “trilateral” and “triangle” turn out to be the same, as they have the same extens...

582 Ontologies: Principles, methods and applications - Uschold, Gruninger - 1996 (Show Context)

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...ng a specific role in Artificial Intelligence, Computational Linguistics, and Database Theory. In particular, its importance is being recognized in research fields as diverse as knowledge engineering =-=[20,45,15,18]-=-, knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-ori...

310 Ontologies and Knowledge Bases: Towards a Terminological Clarification, Towards Very Large Knowledge Bases: Knowledge Building and Knowledge Sharing - Guarino, Giaretta - 1995 (Show Context)

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...d here any further comment. Rather, I will first propose the most recent elaboration of the clarification work on the way the term “ontology” is being used in computer science originally presented=-= in [27]. Al-=-though some progress has been made, I believe there still a good deal of terminological and conceptual confusion, and I will try therefore to further clarify – with respect to the past work – the ...

257 Logical foundations of artificial intelligence - Genesereth, Nilsson - 1987 (Show Context)

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...notion of conceptualization introduced above requires however a suitable formalization, since it may generate some confusions. Indeed, a conceptualization has been defined in a well-known AI textbook =-=[17] a-=-s a structure <D,R>, where D is a domain and R is a set or relevant relations on D 6 . This definition has been then used by Tom Gruber, who defined an ontology as “a specification of a conceptualiz...

231 Formal ontology, conceptual analysis and knowledge representation,” - Guarino - 1995 (Show Context)

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...gence, Computational Linguistics, and Database Theory. In particular, its importance is being recognized in research fields as diverse as knowledge engineering [20,45,15,18], knowledge representation =-=[23,2,42]-=-, qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information ...

202 Construction of Engineering Ontologies, - Borst - 1997 (Show Context)

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...on [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integration [22,46], natural language translation [30,33], medicine [16], mechanical engineering =-=[10]-=-, standardization of product knowledge [8,4,26], electronic commerce [32], geographic information systems [12], legal information systems 2 , biological information systems 3 . I shall use the generic...

202 Towards Distributed Use of Large-Scale Ontologies. - Swartout, Patil, et al. - 1997 (Show Context)

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...e to formulate queries at the desired level of specificity. If the ontology in question is a sufficiently large one, i.e. a “top-level” linguistic ontology like WordNet, Mikrokosmos [33], or Pangl=-=oss [43]-=-, then another useful task it can play in the context of a user interface is vocabulary detaching: the user is free to adopt his own natural language terms, which are mapped (after a possible disambig...

187 An ontological model of an information system, - Wand, Weber - 1990 (Show Context)

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...tware like we have seen in the case of databases, but I am not aware of any contribution in this field (although some proposals to use ontological principles for object-oriented design have been made =-=[52,39]-=-). At run time, we may decide to represent explicitly all the domain knowledge implicitly encoded in the application program, turning the program in a knowledge-based system. As well known, this has l...

166 Enterprise Modeling," - Fox, Gruninger - 1998 (Show Context)

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...nformation retrieval and extraction [24,6,34,54], knowledge management and organization [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integration =-=[22,46]-=-, natural language translation [30,33], medicine [16], mechanical engineering [10], standardization of product knowledge [8,4,26], electronic commerce [32], geographic information systems [12], legal ...

151 Ontological foundations of information systems. - Weber - 1997 (Show Context)

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...lds as diverse as knowledge engineering [20,45,15,18], knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling =-=[3,53]-=-, information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction [24,6,34,54], knowledge management and organization [40], agent-based systems design 1 . Cur...

151 Intelligent integration of information. - Wiederhold - 1993 (Show Context)

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...neering [20,45,15,18], knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration =-=[55,7,35]-=-, object-oriented analysis [51,39], information retrieval and extraction [24,6,34,54], knowledge management and organization [40], agent-based systems design 1 . Current applications areas are dispara...

132 Knowledge Representation - Sowa - 2000 (Show Context)

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...gence, Computational Linguistics, and Database Theory. In particular, its importance is being recognized in research fields as diverse as knowledge engineering [20,45,15,18], knowledge representation =-=[23,2,42]-=-, qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information ...

113 Part-whole relations in object-centered systems: An overview’, - Artale, Franconi, et al. - 1996 (Show Context)

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...gence, Computational Linguistics, and Database Theory. In particular, its importance is being recognized in research fields as diverse as knowledge engineering [20,45,15,18], knowledge representation =-=[23,2,42]-=-, qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information ...

109 Semantic matching: Formal ontological distinctions for information organization, extraction, and integration”, in Information Extraction: A Multidisciplinary Approach to an Emerging Information - Guarino - 1997 (Show Context)

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...19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction =-=[24,6,34,54]-=-, knowledge management and organization [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integration [22,46], natural language translation [30,33], m...

93 Wielinga: Using Explicit Ontologies - Heijst, Schreiber, et al. - 1997 (Show Context)

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...ontext, we can distinguish two different scenarios. In the first scenario, we have a set of reusable ontologies at our disposal, organized in an ontology library containing domain and task ontologies =-=[49]-=-. In the secondsscenario, the degree of reusability is very limited, as we only have a very generic ontology, consisting of coarse domain-level distinctions among the basic entities of the world and m...

83 The MOMIS approach to information integration, - Beneventano, Bergamaschi, et al. - 2001 (Show Context)

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...neering [20,45,15,18], knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration =-=[55,7,35]-=-, object-oriented analysis [51,39], information retrieval and extraction [24,6,34,54], knowledge management and organization [40], agent-based systems design 1 . Current applications areas are dispara...

79 Building a large knowledge base for machine translation - Knight, Luk - 1994 (Show Context)

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...4,6,34,54], knowledge management and organization [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integration [22,46], natural language translation =-=[30,33]-=-, medicine [16], mechanical engineering [10], standardization of product knowledge [8,4,26], electronic commerce [32], geographic information systems [12], legal information systems 2 , biological inf...

77 Ontology Development for Machine Translation: Ideology and Methodology, - Mahesh - 1996 (Show Context)

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...4,6,34,54], knowledge management and organization [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integration [22,46], natural language translation =-=[30,33]-=-, medicine [16], mechanical engineering [10], standardization of product knowledge [8,4,26], electronic commerce [32], geographic information systems [12], legal information systems 2 , biological inf...

66 Ontology reuse and application - Uschold, Healy, et al. - 1998 (Show Context)

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...nd protects him from being bothered too much by implementation details. Unfortunately, the availability of off the shelf ontologies to be used in this way is today extremely limited (see for instance =-=[44]-=- for an example of reuse of an ontology of physical measures). In my opinion, the reason is that these ontologies are not general enough to be effectively specialized for various applications. Moreove...

63 Ontological issues for knowledge-enhanced search - McGuinness - 1998 (Show Context)

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...19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction =-=[24,6,34,54]-=-, knowledge management and organization [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integration [22,46], natural language translation [30,33], m...

63 Domain Specific Ontologies for Semantic Information Brokering on the Global Information Infrastructure. - Mena, Kashyap, et al. - 1998 (Show Context)

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...neering [20,45,15,18], knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration =-=[55,7,35]-=-, object-oriented analysis [51,39], information retrieval and extraction [24,6,34,54], knowledge management and organization [40], agent-based systems design 1 . Current applications areas are dispara...

55 A connection based approach to commonsense topological description and reasoning - Gotts, Gooday, et al. - 1996 (Show Context)

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... and Database Theory. In particular, its importance is being recognized in research fields as diverse as knowledge engineering [20,45,15,18], knowledge representation [23,2,42], qualitative modelling =-=[19,9,13]-=-, language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction [24,6,34...

48 Designing Database Applications with Objects and Rules: The IDEA Methodology Addison Wesley; 1st edition, ISBN: - Ceri, Fraternali - 1997 (Show Context)

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...lting conceptual model can be represented as a computer processable ontology and from there mapped to concrete target platforms. These aspects have been extensively studied in the ESPRIT IDEA project =-=[14], es-=-pecially for what concerns the mapping of the “knowledge specification” (the ontology) to schemes for many different types of databases (relational, object-oriented, deductive, active). Another ex...

47 A Proposal for a Formal Model of Objects - Wand - 1989 (Show Context)

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...resentation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis =-=[51,39]-=-, information retrieval and extraction [24,6,34,54], knowledge management and organization [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integrati...

41 Ontological tools for geographic representation - Casati, Smith, et al. - 1998 (Show Context)

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...tion [22,46], natural language translation [30,33], medicine [16], mechanical engineering [10], standardization of product knowledge [8,4,26], electronic commerce [32], geographic information systems =-=[12]-=-, legal information systems 2 , biological information systems 3 . I shall use the generic term information systems, in its broadest sense, to collectively refer to these fields and application areas....

39 Knowledge sharing and reuse. - Gomez-Perez - 1998 (Show Context)

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...ng a specific role in Artificial Intelligence, Computational Linguistics, and Database Theory. In particular, its importance is being recognized in research fields as diverse as knowledge engineering =-=[20,45,15,18]-=-, knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-ori...

36 The basic tools of formal ontology. - Smith - 1998 (Show Context)

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...linary approach in the practice of ontological engineering, underlying in particular the role played by formal ontology. Since this topic is going to be addressed in more detail in the present volume =-=[41,50], I -=-will avoid here any further comment. Rather, I will first propose the most recent elaboration of the clarification work on the way the term “ontology” is being used in computer science originally ...

30 Understanding, Building, and Using Ontologies: A Commentary to "Using Explicit Ontologies in KBS Development", by van Heijst, Schreiber, and Wielinga. - Guarino - 1997 (Show Context)

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...on on possible worlds. The present version is the correct one. The point is that a compatible model must pick up a single possible world. 11 This statement clarifies a possible confusion arising from =-=[25], wher-=-e I stated that the definition “an ontology is an explicit, partial account of a conceptualization” can be rephrased as “an ontology is an explicit, partial account of the intended models of a l...

24 An Ontological Theory of Physical Objects - Borgo, Guarino, et al. - 1997 (Show Context)

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... and Database Theory. In particular, its importance is being recognized in research fields as diverse as knowledge engineering [20,45,15,18], knowledge representation [23,2,42], qualitative modelling =-=[19,9,13]-=-, language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction [24,6,34...

20 The Ontological Engineering Initiative - Benjamins, Fensel - 1998 (Show Context)

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...19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction =-=[24,6,34,54]-=-, knowledge management and organization [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integration [22,46], natural language translation [30,33], m...

17 Business Objects: Re-Engineering for Reuse - Partridge - 1996 (Show Context)

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...used equally profitably for IS re-engineering, in order to increase reuse and maintainability. In this way large software investments done in the past can be protected and leveraged. See for instance =-=[38]-=- for a good example of using ontological principles for systems reengineering. 3.1.2 Using an ontology at run time. We must distinguish here an ontology-aware IS from an ontology-driven IS: in the fir...

17 Ontology for knowledge organization. In - Poli - 1996 (Show Context)

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...gn [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction [24,6,34,54], knowledge management and organization =-=[40]-=-, agent-based systems design 1 . Current applications areas are disparate, including enterprise integration [22,46], natural language translation [30,33], medicine [16], mechanical engineering [10], s...

15 On the relationship between ontology construction and natural language: a socio-semiotic view - Bateman - 1995 (Show Context)

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...lar, its importance is being recognized in research fields as diverse as knowledge engineering [20,45,15,18], knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering =-=[31,5]-=-, database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction [24,6,34,54], knowledge management an...

15 Spatial entities - Casati, Varzi - 1997 (Show Context)

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... and Database Theory. In particular, its importance is being recognized in research fields as diverse as knowledge engineering [20,45,15,18], knowledge representation [23,2,42], qualitative modelling =-=[19,9,13]-=-, language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction [24,6,34...

15 The Ontological Nature of Subject Taxonomies - Welty - 1998 (Show Context)

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...19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction =-=[24,6,34,54]-=-, knowledge management and organization [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integration [22,46], natural language translation [30,33], m...

14 Ontological aspects of information modeling - Ashenhurst - 1996 (Show Context)

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...lds as diverse as knowledge engineering [20,45,15,18], knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling =-=[3,53]-=-, information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction [24,6,34,54], knowledge management and organization [40], agent-based systems design 1 . Cur...

14 Logical modeling of product knowledge: Towards a well-founded semantics of STEP,” European conference on product data technology 1997, Sophia Antipolis, - Guarino, Borgo, et al. - 1997 (Show Context)

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...rent applications areas are disparate, including enterprise integration [22,46], natural language translation [30,33], medicine [16], mechanical engineering [10], standardization of product knowledge =-=[8,4,26]-=-, electronic commerce [32], geographic information systems [12], legal information systems 2 , biological information systems 3 . I shall use the generic term information systems, in its broadest sens...

13 Basic Problems of Mereotopology.” - Varzi - 1998 (Show Context)

Citation Context

...linary approach in the practice of ontological engineering, underlying in particular the role played by formal ontology. Since this topic is going to be addressed in more detail in the present volume =-=[41,50], I -=-will avoid here any further comment. Rather, I will first propose the most recent elaboration of the clarification work on the way the term “ontology” is being used in computer science originally ...

12 Ontoseek: Using large linguistic ontologies for gathering information resources from the web - Guarino, Masolo, et al. - 1998 (Show Context)

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...face is vocabulary detaching: the user is free to adopt his own natural language terms, which are mapped (after a possible disambiguation step) to the IS vocabulary with the help of the ontology. See =-=[28]-=- for an example of this use. 13 URL: http://smi-web.stanford.edu/projects/prot-nt/documentation/s3.2.3 Using an ontology for the application program component. Application programs are still an import...

9 The linguistic level: Contribution for conceptual design, view integration, reuse and documentation - Ambroslo, Métais, et al. - 1997 (Show Context)

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...the requirement analysis and conceptual modelling phase, especially if integrated with lexical resources like WordNet [36] in order to support the analysis of natural language informal specifications =-=[29,1,11,47]-=-. The resulting conceptual model can be represented as a computer processable ontology and from there mapped to concrete target platforms. These aspects have been extensively studied in the ESPRIT IDE...

9 The LILOG Ontology from a Linguistic Point of View - Lang - 1991 (Show Context)

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...lar, its importance is being recognized in research fields as diverse as knowledge engineering [20,45,15,18], knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering =-=[31,5]-=-, database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis [51,39], information retrieval and extraction [24,6,34,54], knowledge management an...

8 OntologyBased EDI (Electronic Data Interchange),” in N. Adam and Y. Yesha (Eds.), Electronic Commerce: Current Research Issues and Applications - Lehmann, “Machine-Negotiated - 1996 (Show Context)

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...sparate, including enterprise integration [22,46], natural language translation [30,33], medicine [16], mechanical engineering [10], standardization of product knowledge [8,4,26], electronic commerce =-=[32]-=-, geographic information systems [12], legal information systems 2 , biological information systems 3 . I shall use the generic term information systems, in its broadest sense, to collectively refer t...

6 Editorial: using explicit ontologies in knowledge-based system development - Gaines (Show Context)

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...ng a specific role in Artificial Intelligence, Computational Linguistics, and Database Theory. In particular, its importance is being recognized in research fields as diverse as knowledge engineering =-=[20,45,15,18]-=-, knowledge representation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-ori...

4 The neutral representation project - Barley, Clark, et al. - 1997 (Show Context)

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...rent applications areas are disparate, including enterprise integration [22,46], natural language translation [30,33], medicine [16], mechanical engineering [10], standardization of product knowledge =-=[8,4,26]-=-, electronic commerce [32], geographic information systems [12], legal information systems 2 , biological information systems 3 . I shall use the generic term information systems, in its broadest sens...

4 Ontology alignement: Experiences with medical terminologies - Gangemi, Pisanelli, et al. - 1998 (Show Context)

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...dge management and organization [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integration [22,46], natural language translation [30,33], medicine =-=[16]-=-, mechanical engineering [10], standardization of product knowledge [8,4,26], electronic commerce [32], geographic information systems [12], legal information systems 2 , biological information system...

4 NL Structures and Conceptual Modelling: the - Hoppenbrouwers, Vos, et al. - 1996 (Show Context)

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...the requirement analysis and conceptual modelling phase, especially if integrated with lexical resources like WordNet [36] in order to support the analysis of natural language informal specifications =-=[29,1,11,47]-=-. The resulting conceptual model can be represented as a computer processable ontology and from there mapped to concrete target platforms. These aspects have been extensively studied in the ESPRIT IDE...

3 Roles aren't Classes: a Reply to Nicola Guarino - Heijst, Schreiber, et al. - 1997 (Show Context)

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...evelopment phase will be a separate component, namely an application ontology like the one depicted in Fig. 4, which can be seen as a specialization of both a domain ontology and a task ontology. See =-=[25,48]-=- for a discussion of the relationships between an application ontology and an ontology library. An important benefit of using an ontology at development time is that it enables the developer to practi...

2 Three points of view in the characterization of complex entities - Pazzi - 1998 (Show Context)

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...resentation [23,2,42], qualitative modelling [19,9,13], language engineering [31,5], database design [11,47], information modelling [3,53], information integration [55,7,35], object-oriented analysis =-=[51,39]-=-, information retrieval and extraction [24,6,34,54], knowledge management and organization [40], agent-based systems design 1 . Current applications areas are disparate, including enterprise integrati...

1 Knowledge Sharing for Integrated Enterprises - Boley, Guarino - 1996 (Show Context)

Citation Context

...rent applications areas are disparate, including enterprise integration [22,46], natural language translation [30,33], medicine [16], mechanical engineering [10], standardization of product knowledge =-=[8,4,26]-=-, electronic commerce [32], geographic information systems [12], legal information systems 2 , biological information systems 3 . I shall use the generic term information systems, in its broadest sens...

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