BIM semantic-enrichment for built heritage representation

In the built heritage context, BIM has shown difficulties in representing and managing the large and complex knowledge related to non-geometrical aspects of the heritage. Within this scope, this paper focuses on a domain-specific semantic-enrichment of BIM methodology, aimed at fulfilling semantic representation requirements of built heritage through Semantic Web technologies. To develop this semantic-enriched BIM approach, this research relies on the integration of a BIM environment with a knowledge base created through information ontologies. The result is knowledge base system - and a prototypal platform - that enhances semantic representation capabilities of BIM application to architectural heritage processes. It solves the issue of knowledge formalization in cultural heritage informative models, favouring a deeper comprehension and interpretation of all the building aspects. Its open structure allows future research to customize, scale and adapt the knowledge base different typologies of artefacts and heritage activities

A Study on the Use of Ontologies to Represent Collective Knowledge

The development of ontologies has become an area of considerable research interest over the past number of years. Domain ontologies are often developed to represent a shared understanding that in turn indicates cooperative effort by a user community. However, the structure and form that an ontology takes is predicated both on the approach of the developer and the cooperation of the user community. A shift has taken place in recent years from the use of highly specialised and expressive ontologies to simpler knowledge models, progressively developed by community contribution. It is within this context that this thesis investigates the use of ontologies as a means to representing collective knowledge. It investigates the impact of the community on the approach to and outcome of knowledge representation and compares the use of simple terminological ontologies with highly structured expressive ontologies in community-based narrative environments

An Introduction to Ontologies and Ontology Engineering

In the last decades, the use of ontologies in information systems has become more and more popular in various fields, such as web technologies, database integration, multi agent systems, natural language processing, etc. Artificial intelligent researchers have initially borrowed the word “ontology” from Philosophy, then the word spread in many scientific domain and ontologies are now used in several developments. The main goal of this chapter is to answer generic questions about ontologies, such as: Which are the different kinds of ontologies? What is the purpose of the use of ontologies in an application? Which methods can I use to build an ontology

Exploring manuscripts: sharing ancient wisdoms across the semantic web

Recent work in digital humanities has seen researchers in-creasingly producing online editions of texts and manuscripts, particularly in adoption of the TEI XML format for online publishing. The benefits of semantic web techniques are un-derexplored in such research, however, with a lack of sharing and communication of research information. The Sharing Ancient Wisdoms (SAWS) project applies linked data prac-tices to enhance and expand on what is possible with these digital text editions. Focussing on Greek and Arabic col-lections of ancient wise sayings, which are often related to each other, we use RDF to annotate and extract seman-tic information from the TEI documents as RDF triples. This allows researchers to explore the conceptual networks that arise from these interconnected sayings. The SAWS project advocates a semantic-web-based methodology, en-hancing rather than replacing current workflow processes, for digital humanities researchers to share their findings and collectively benefit from each other’s work

An EpiDoc ontological perspective: the epigraphs of the Castello Ursino Civic Museum of Catania via CIDOC CRM

The rich epigraphic heritage of the Castello Ursino Civic Museum of Catania has been studied by the EpiCUM project that encoded it in EpiDoc TEI XML, an XML based standard digital representation for cultural heritage contents. The project made the epigraphic heritage available in a digital museum: under the guise of the ‘Voci di Pietra’ exhibition, a selection of epigraphs were presented, implementing innovative presentation modalities thanks to a smart use of technological and digital means. Information contained in the epigraphs was semantically reorganized in a unique homogeneous container, the EpiONT ontology, constructed according to the Linked Open Data paradigm and to consolidated international standards. The encoding of the ancient texts, by the TEI standard and its EpiDoc subset, is wedded to the paradigmatic semantic web model for museums and cultural heritage. The EpiONT ontology is currently populated by 580 epigraphs collected in the Castello Ursino Civic Museum. Designed according to the CIDOC CRM standard, it makes use of the SKOS vocabularies of the EAGLE project concerning material, execution technique, type of inscription, and type of support of an epigraph. The EpiONT ontology additionally can handle any uncertainty in the origin and place of discovery of the epigraphs

Ontology Evolution Using Ontology Templates

Evolving ontologies by domain experts is difficult and typically cannot be performed without the assistance of an ontology engineer. This process takes long time and often recurrent modeling errors have to be resolved. This paper proposes a technique for creating controlled ontology evolution scenarios that ensure consistency of the possible ontology evolution and give guarrantees to the domain expert that his/her updates do not cause inconsistency. We introduce ontology templates that formalize the notion of controlled evolution and define ontology template consistency checking service together with a consistency checking algorithm. We prove correctness and demonstate the practical use of the techniques in two scenarios

An Ontology for Gendered Content Representation of Cultural Heritage Artefacts

The need for organising and digitally processing the vast amount of Cultural Heritage (CH) information has recently led to the development of formal knowledge representation models (ontologies) for the CH domain. Existing models, however, do not capture gender-related concepts. This article presents an effort to fill this gap by developing a new ontology for the representation of gendered concepts in CH resources.1 The new ontology, named ‘GenderedCHContents’ resulted from combined research in women’s studies, gender theory and computer science. Its primary aim is to draw attention to the presence of women within CH artefacts. The proposed ontology extends the Europeana Data Model (EDM) with twenty-two new classes, sixteen object properties and seven datatype properties. The article presents a demonstration of the ‘GenderedCHContents’ ontology’s use in five different representation tasks, which describe five resources related to Pandora’s myth. Lastly, the study stresses the benefits of reasoning support (i.e. enabling computers to infer further information from a set of asserted facts) in revealing different gender ideals and inferred relationships between metaphorical concepts, along with the benefits of the Semantic Web in making information about gendered contents more easily retrievable to the users