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

Difficult forms: critical practices of design and research

As a kind of 'criticism from within', conceptual and critical design inquire into what design is about – how the market operates, what is considered 'good design', and how the design and development of technology typically works. Tracing relations of conceptual and critical design to (post-)critical architecture and anti-design, we discuss a series of issues related to the operational and intellectual basis for 'critical practice', and how these might open up for a new kind of development of the conceptual and theoretical frameworks of design. Rather than prescribing a practice on the basis of theoretical considerations, these critical practices seem to build an intellectual basis for design on the basis of its own modes of operation, a kind of theoretical development that happens through, and from within, design practice and not by means of external descriptions or analyses of its practices and products

The Knowledge Level in Cognitive Architectures: Current Limitations and Possible Developments

In this paper we identify and characterize an analysis of two problematic aspects affecting the representational level of cognitive architectures (CAs), namely: the limited size and the homogeneous typology of the encoded and processed knowledge. We argue that such aspects may constitute not only a technological problem that, in our opinion, should be addressed in order to build articial agents able to exhibit intelligent behaviours in general scenarios, but also an epistemological one, since they limit the plausibility of the comparison of the CAs' knowledge representation and processing mechanisms with those executed by humans in their everyday activities. In the final part of the paper further directions of research will be explored, trying to address current limitations and future challenges

Upgrading of Symbolic and Synthetic Knowledge Bases: Analysis of the Architecture, Engineering and Construction industry and the Automotive Industry in China

The degree and the way of upgrading differ widely per industry. This article tries to give some new insights in these differences by linking the concept of upgrading to that of the knowledge base. Moreover, we try to identify barriers to upgrading as well as the appropriate spatial scale on which upgrading takes place, again for different knowledge bases. We support our argument by analysing the process of upgrading in two industries in China: the AEC industry (in Beijing and Shanghai) and the automotive industry (in Shanghai). Within these industries we focus on upgrading on two levels: within firms and within projects. Our findings for both industries suggest that the principal ways of upgrading of the symbolic knowledge base are joint brainstorming in internal and external project teams and labour mobility. Major factors that hinder the upgrading of symbolic knowledge include the development stage of China, the Chinese educational system and tensions about duplication of western designs. Upgrading of the synthetic knowledge base takes mainly place via inter-company training programmes of foreign firms, technology transfer and labour mobility on the long run. A possible barrier for upgrading of synthetic knowledge, especially in the automotive industry, is that foreign firms tend to keep certain engineering activities in their home base because of the risk of knowledge leakage. However, this is changing quickly as many foreign carmakers and their suppliers invest in engineering centres in China due to an increasing demand for cars, to governmental regulations and to intensifying competition.Urban development, upgrading, automotive industry, AEC industry, knowledge economy, China.

Semantic data mining and linked data for a recommender system in the AEC industry

Even though it can provide design teams with valuable performance insights and enhance decision-making, monitored building data is rarely reused in an effective feedback loop from operation to design. Data mining allows users to obtain such insights from the large datasets generated throughout the building life cycle. Furthermore, semantic web technologies allow to formally represent the built environment and retrieve knowledge in response to domain-specific requirements. Both approaches have independently established themselves as powerful aids in decision-making. Combining them can enrich data mining processes with domain knowledge and facilitate knowledge discovery, representation and reuse. In this article, we look into the available data mining techniques and investigate to what extent they can be fused with semantic web technologies to provide recommendations to the end user in performance-oriented design. We demonstrate an initial implementation of a linked data-based system for generation of recommendations

A semantic web approach for built heritage representation

In a built heritage process, meant as a structured system of activities aimed at the investigation, preservation, and management of architectural heritage, any task accomplished by the several actors involved in it is deeply influenced by the way the knowledge is represented and shared. In the current heritage practice, knowledge representation and management have shown several limitations due to the difficulty of dealing with large amount of extremely heterogeneous data. On this basis, this research aims at extending semantic web approaches and technologies to architectural heritage knowledge management in order to provide an integrated and multidisciplinary representation of the artifact and of the knowledge necessary to support any decision or any intervention and management activity. To this purpose, an ontology-based system, representing the knowledge related to the artifact and its contexts, has been developed through the formalization of domain-specific entities and relationships between them

Architecture and Design of Medical Processor Units for Medical Networks

This paper introduces analogical and deductive methodologies for the design medical processor units (MPUs). From the study of evolution of numerous earlier processors, we derive the basis for the architecture of MPUs. These specialized processors perform unique medical functions encoded as medical operational codes (mopcs). From a pragmatic perspective, MPUs function very close to CPUs. Both processors have unique operation codes that command the hardware to perform a distinct chain of subprocesses upon operands and generate a specific result unique to the opcode and the operand(s). In medical environments, MPU decodes the mopcs and executes a series of medical sub-processes and sends out secondary commands to the medical machine. Whereas operands in a typical computer system are numerical and logical entities, the operands in medical machine are objects such as such as patients, blood samples, tissues, operating rooms, medical staff, medical bills, patient payments, etc. We follow the functional overlap between the two processes and evolve the design of medical computer systems and networks.Comment: 17 page

Concepts, Introspection, and Phenomenal Consciousness: An Information-Theoretical Approach

This essay is a sustained information-theoretic attempt to bring new light on some of the perennial problems in the philosophy of mind surrounding phenomenal consciousness and introspection. Following Dretske (1981), we present and develop an informational psychosemantics as it applies to what we call <em>sensory concepts</em>, concepts that apply, roughly, to so-called secondary qualities of objects. We show that these concepts have a special informational character and semantic structure that closely tie them to the brain states realizing conscious qualitative experiences. We then develop an account of introspection which exploits this special nature of sensory concepts. The result is a new class of concepts, which, following recent terminology, we call <em>phenomenal concepts</em>: these concepts refer to phenomenal experience itself and are the vehicles used in introspection. On our account, the connection between sensory and phenomenal concepts is very tight: it consists in different semantic uses of the same cognitive structures underlying the sensory concepts, like RED. Contrary to widespread opinion, we show that information theory contains all the resources to satisfy internalist intuitions about phenomenal consciousness, while not offending externalist ones. A consequence of this account is that it explains and predicts the so-called conceivability arguments against physicalism on the basis of the special nature of sensory and phenomenal concepts. Thus we not only show why physicalism is not threatened by such arguments, but also demonstrate its strength in virtue of its ability to predict and explain away such arguments in a principled way. However, we take the main contribution of this work to be what it provides in addition to a response to those conceivability arguments, namely, a substantive account of the interface between sensory and conceptual systems and the mechanisms of introspection as based on the special nature of the information flow between them

What to Conserve? Heritage, Memory, and Management of Meanings

This Paper explores and criticizes different theories and perceptions concerning ‘cultural heritage’ to explore the definitions of ‘heritage’ throughout history, and questions how the conflicts in considering and identifying ‘heritage’ might have affected the approaches to its conservation. In such process, the paper investigates the relation between ‘place’ and ‘memory’ and how place has been always the medium through which history was written, resulting in two inseparable faces, tangible and the intangible, forming the two-faced coin of ‘cultural heritage’. This research assists understanding the complex construct of heritage places; stressing the growing awareness of intangible heritage’s importance, which represents a remarkable turn in heritage conservation realm in the twenty-first century, and emphasizing the notion of heritage as a coefficient of society, which is understood through experience, learnt through performance, and represented through ‘activities’ formed in the present maintaining and developing the identity of place and preserving its spirit, rather than a past oriented vision that tends to ‘pickle’ images from the past in a picturesque manner that is only tourism-oriented

Territorial innovation dynamics: a knowledge based perspective

A great deal of studies has focused on the role played by geographical location on the emergence and the building of localised learning capacities (Maskell, Malmberg, 1999). In this perspective, empirical studies have demonstrated that innovation dynamics of clusters results from the quality of interactions and coordination inside the cluster as well as interactions with external, often global, networks. In this context, knowledge exchange between firms and institutions are claimed to be the main drivers of spatial agglomeration (Canals et al, 2008). Hence, cluster policies have followed the main idea that geographic proximity facilitates collective innovation in so far as firms can capture knowledge externalities more easily. This idea is in fact very attractive but contains some limits (Suire et Vicente, 2007): if some clusters are successful others seem to decline. Therefore, in order to understand the territorial dynamics of clusters, the analysis of the specific nature of knowledge and information flows within a cluster is crucial. The objective of the paper is to enhance the analysis of the role of cognitive and relational dimensions of interactions on territorial dynamics of innovation. We focus on the key sub process of innovation: knowledge creation, which is above all a social process based on two key complex social mechanisms: the exchange and the combination of knowledge (Nahapiet and Goshal, 1996). We suggest building a theoretical framework that hinges on these two key mechanisms. In this perspective, we mobilise Boisot's I-Space model (Boisot, 1998) for the diffusion and exchange of knowledge and suggest completing the model by introducing the concept of architectural knowledge (Henderson and Clark, 1990) so as to take the complexity of the combination process into consideration. This analysis is conducted through the illustrative analysis of three different case studies. We will draw upon the case of Aerospace Valley Pole of Competitiveness (PoC), The Secured Communicating Solutions PoC, and Fabelor Competence Cluster. The cases show that the existence of architectural knowledge is pivotal to territorial innovation.Architectural Knowledge, I-Space Model, Territorial Innovation, Geographical Clusters, Knowledge Management