Web Interoperability for Ontology Development and Support with crowd 2.0

In this work, we treat web interoperability in terms of interchanging ontologies (as knowledge models) within user-centred ontology engineering environments, involving visual and serialised representations of ontologies. To do this, we deal with the tool interoperability problem by re-using an enough expressive ontology-driven metamodel, named KF, proposed as a bridge for interchanging both knowledge models. We provide an extensible web framework, named crowd 2.0, unifying the standard conceptual data modelling languages for generating OWL 2 ontologies from semantic visualisations. Visual models are designed as UML, ER or ORM 2 diagrams, represented as KF instances, and finally, formalised as DL-based models. Reasoning results may be newly incorporated into the shared KF instance to be visualised in any of the provided languages.

Download Full-text

A challenge for historical research: Making data FAIR using a collaborative ontology management environment (OntoME)

Semantic Web ◽

10.3233/sw-200416 ◽

2020 ◽

pp. 1-16

Author(s):

Francesco Beretta

Keyword(s):

Semantic Analysis ◽

Historical Research ◽

Data Modelling ◽

Fine Grained ◽

Fair Principles ◽

Active Research ◽

New Research ◽

High Level ◽

Conceptual Data ◽

Ontology Management

This paper addresses the issue of interoperability of data generated by historical research and heritage institutions in order to make them re-usable for new research agendas according to the FAIR principles. After introducing the symogih.org project’s ontology, it proposes a description of the essential aspects of the process of historical knowledge production. It then develops an epistemological and semantic analysis of conceptual data modelling applied to factual historical information, based on the foundational ontologies Constructive Descriptions and Situations and DOLCE, and discusses the reasons for adopting the CIDOC CRM as a core ontology for the field of historical research, but extending it with some relevant, missing high-level classes. Finally, it shows how collaborative data modelling carried out in the ontology management environment OntoME makes it possible to elaborate a communal fine-grained and adaptive ontology of the domain, provided an active research community engages in this process. With this in mind, the Data for history consortium was founded in 2017 and promotes the adoption of a shared conceptualization in the field of historical research.

Download Full-text

Conceptual data modelling in database design: similarities and differences between expert and novice designers

International Journal of Man-Machine Studies ◽

10.1016/0020-7373(92)90092-y ◽

1992 ◽

Vol 37 (1) ◽

pp. 83-101 ◽

Cited By ~ 60

Author(s):

Dinesh Batra ◽

Joseph G. Davis

Keyword(s):

Database Design ◽

Data Modelling ◽

Expert And Novice ◽

Similarities And Differences ◽

Novice Designers ◽

Conceptual Data

Download Full-text

Legal Ontologies in ICT and Law

Information Communication Technology Law, Protection and Access Rights ◽

10.4018/978-1-61520-975-0.ch004 ◽

2011 ◽

pp. 51-66

Author(s):

Witold Abramowicz ◽

Piotr Stolarski ◽

Tadeusz Tomaszewski

Keyword(s):

Knowledge Management ◽

General Theory ◽

Theory Of Knowledge ◽

Ontology Engineering ◽

Knowledge Modeling ◽

Specialized Knowledge ◽

General Application ◽

Knowledge Models ◽

Usability Issue ◽

Legal Ontologies

As discussed in the fouth chapter, re-usability is frequently declared as sine qua non feature of modern ontology engineering. Although thoroughly examined in general theory of knowledge management models the re-usability issue is still barely a declaration in the domain of legal ontologies. The similar situation also applies to statute-specific ontologies. Those knowledge modeling entities are well described especially as an opposition to the general application legal ontologies. Yet it is trivial to say that most of the developed legal ontologies so far are those generic ones. And this sole fact should not surprise as the very specialized knowledge models – usually harder to develop – are at the same time narrowed with their utility. Of course in terms of re-usability this simply means that this feature may be largely disabled in this kind of knowledge models. In this chapter the authors face both challenges, i.e. as an excuse for presentation of the most interesting in their opinion trends and works in the field the authors demonstrate the practical approach to modeling copyright law case by re-using statute-specific ontologies.

Download Full-text

An Ontology of Data Modelling Languages

Data Warehousing and Mining ◽

10.4018/978-1-59904-951-9.ch202 ◽

2008 ◽

pp. 3194-3211

Author(s):

Simon K. Milton ◽

Ed Kazmierczak

Keyword(s):

Information Systems ◽

Systems Engineering ◽

Data Modelling ◽

Fundamental Nature ◽

Modelling Languages ◽

The Core ◽

Core Concepts ◽

Degree Of Overlap

Data modelling languages are used in today’s information systems engineering environments. Many have a degree of hype surrounding their quality and applicability with narrow and specific justification often given in support of one over another. We want to more deeply understand the fundamental nature of data modelling languages. We thus propose a theory, based on ontology, that should allow us to understand, compare, evaluate, and strengthen data modelling languages. In this paper we present a method (conceptual evaluation) and its extension (conceptual comparison), as part of our theory. Our methods are largely independent of a specific ontology. We introduce Chisholm’s ontology and apply our methods to analyse some data modelling languages using it. We find a good degree of overlap between all of the data modelling languages analysed and the core concepts of Chisholm’s ontology, and conclude that the data modelling languages investigated reflect an ontology of commonsense-realism.

Download Full-text

An Ontology based on the Methodology Proposed by Ushold and King

International Journal of Synthetic Emotions ◽

10.4018/ijse.2016010102 ◽

2016 ◽

Vol 7 (1) ◽

pp. 13-26 ◽

Cited By ~ 1

Author(s):

Neha Jain ◽

Lalit Sen Sharma

Keyword(s):

Software Development ◽

Ontology Engineering ◽

Ontology Development ◽

Semantic Technologies ◽

Domain Specific ◽

Development Processes ◽

Ontology Building ◽

Software Development Methodologies ◽

Semantic Ontology ◽

Standard Software

A number of methodologies are available in literature for ontology development but as the Ontology engineering field is relatively new, it is still unclear how the existing ontology building methodologies can be applied to develop semantic ontology models. In this work, firstly an overview of various ontology building methodologies and their limitations as compared to some standard software development methodologies are presented. Then the methodology proposed by Ushold and King is selected to build an ontology in e-banking domain. The challenge in this domain is to recognize, communicate and steadily improvise the banking solutions. The ontologies are prospective candidates to assist overcome these challenges and enhance interoperability of banking data and services. The study aims to provide direction for the application of existing ontology building methodologies in the Semantic Web Development processes of e-banking domain specific models which would enable their reusability and repeatability in other projects and strengthen the adoption of semantic technologies in the domain.

Download Full-text

A unifying framework for conceptual data modelling concepts

Information and Software Technology ◽

10.1016/0950-5849(96)01112-3 ◽

1997 ◽

Vol 39 (1) ◽

pp. 15-25 ◽

Cited By ~ 4

Author(s):

P.J.M. Frederiks ◽

A.H.M. ter Hofstede ◽

E. Lippe

Keyword(s):

Data Modelling ◽

Conceptual Data

Download Full-text

Expressiveness in conceptual data modelling

Data & Knowledge Engineering ◽

10.1016/0169-023x(93)90020-p ◽

1993 ◽

Vol 10 (1) ◽

pp. 65-100 ◽

Cited By ~ 52

Author(s):

A.H.M. ter Hofstede ◽

Th.P. van der Weide

Keyword(s):

Data Modelling ◽

Conceptual Data

Download Full-text

Legal Ontologies in ICT and Law

Digital Rights Management ◽

10.4018/978-1-4666-2136-7.ch003 ◽

2013 ◽

pp. 34-49

Author(s):

Witold Abramowicz ◽

Piotr Stolarski ◽

Tadeusz Tomaszewski

Keyword(s):

Knowledge Management ◽

General Theory ◽

Theory Of Knowledge ◽

Ontology Engineering ◽

Knowledge Modeling ◽

Specialized Knowledge ◽

General Application ◽

Knowledge Models ◽

Usability Issue ◽

Legal Ontologies

Re-usability is frequently declared as sine qua non feature of modern ontology engineering. Although thoroughly examined in general theory of knowledge management models the re-usability issue is still barely a declaration in the domain of legal ontologies. The similar situation also applies to statute-specific ontologies. Those knowledge modeling entities are well described especially as an opposition to the general application legal ontologies. Yet it is trivial to say that most of the developed legal ontologies so far are those generic ones. And this sole fact should not surprise as the very specialized knowledge models – usually harder to develop – are at the same time narrowed with their utility. Of course in terms of re-usability this simply means that this feature may be largely disabled in this kind of knowledge models. In this chapter we face both challenges, i.e. as an excuse for presentation of the most interesting in our opinion trends and works in the field we will demonstrate the practical approach to modeling copyright law case by re-using statute-specific ontologies.

Download Full-text