Ontologies on the semantic web

As an informational technology, the World Wide Web has enjoyed spectacular success. In just ten years it has transformed the way information is produced, stored, and shared in arenas as diverse as shopping, family photo albums, and high-level academic research. The “Semantic Web” was touted by its developers as equally revolutionary but has not yet achieved anything like the Web’s exponential uptake. This 17 000 word survey article explores why this might be so, from a perspective that bridges both philosophy and IT

Sensemaking on the Pragmatic Web: A Hypermedia Discourse Perspective

The complexity of the dilemmas we face on an organizational, societal and global scale forces us into sensemaking activity. We need tools for expressing and contesting perspectives flexible enough for real time use in meetings, structured enough to help manage longer term memory, and powerful enough to filter the complexity of extended deliberation and debate on an organizational or global scale. This has been the motivation for a programme of basic and applied action research into Hypermedia Discourse, which draws on research in hypertext, information visualization, argumentation, modelling, and meeting facilitation. This paper proposes that this strand of work shares a key principle behind the Pragmatic Web concept, namely, the need to take seriously diverse perspectives and the processes of meaning negotiation. Moreover, it is argued that the hypermedia discourse tools described instantiate this principle in practical tools which permit end-user control over modelling approaches in the absence of consensus

Consciousness as Recursive, Spatiotemporal Self-Location

At the phenomenal level, consciousness arises in a consistently coherent fashion as a singular, unified field of recursive self-awareness (subjectivity) with explicitly orientational characteristics—that of a subject located both spatially and temporally in an egocentrically-extended domain. Understanding these twin elements of consciousness begins with the recognition that ultimately (and most primitively), cognitive systems serve the biological self-regulatory regime in which they subsist. The psychological structures supporting self-located subjectivity involve an evolutionary elaboration of the two basic elements necessary for extending self-regulation into behavioral interaction with the environment: an orientative reference frame which consistently structures ongoing interaction in terms of controllable spatiotemporal parameters, and processing architecture that relates behavior to homeostatic needs via feedback. Over time, constant evolutionary pressures for energy efficiency have encouraged the emergence of anticipative feedforward processing mechanisms, and the elaboration, at the apex of the sensorimotor processing hierarchy, of self-activating, highly attenuated recursively-feedforward circuitry processing the basic orientational schema independent of external action output. As the primary reference frame of active waking cognition, this recursive self-locational schema processing generates a zone of subjective self-awareness in terms of which it feels like something to be oneself here and now. This is consciousness-as-subjectivity

Re-use of an ontology for modelling urban energy systems

The use of ontologies for the interoperability of software models is widespread, with many applications also in the energy domain. By formulating a shared data structure and a definition of concepts and their properties, a language is created that can be used between modellers and - formalised in an ontology - between model components. When modelling energy systems, connections between different infrastructures are critical, e.g. the interaction between the gas and electricity markets or the need for various infrastructures including power, heat, water and transport in cities. While a commonly shared ontology of energy systems would be highly desirable, the fact is that different existing models or applications already use dedicated ontologies, and have been demonstrated to work well using them. To benefit from linking data sources and connecting models developed with different ontologies, a translation between concepts can be made. In this paper a model of an urban energy system built upon one ontology is initialised using energy transformation technologies defined in another ontology, thus illustrating how this common perspective might benefit researchers in the energy domain. ©2010 IEEE

The moral milieu of information technology: using domain and affordance theory to explain situational and technological effects on ethical IT decision making

Unethical behavior in the use of IT may result in significant negative impacts on the productivity, profitability, and reputation of the organization. IT exacerbates moral problems through its constant evolution, multi-faceted nature and encroachment into our personal and professional lives. People have difficulty recognizing moral characteristics, applying moral decision-making heuristics, and anticipating consequences of ethical problems when IT is present. These qualities highlight the moral milieu of ethical IT problems in organizations. The dissertation investigates this phenomenon through three perspectives. First, while moral development in childhood and adolescence predispose people toward particular moral reasoning, situational and contextual factors of ethical IT dilemmas may unearth other different moral reasoning patterns. The deviation of people's situational moral reasoning from broader moral dispositions is explored. Second, the scenario-specific situational moral reasoning is further framed into patterns of decision-making heuristics using the domain theory of moral development. Third, research in IT ethics has largely ignored the properties and characteristics of IT artifacts in ethical decision-making. Using affordance theory from ecological psychology, the dissertation proposes a framework of moral affordances, including ownership, anonymity, reproducibility, etc. that shapes ethical IT decision-making, intentions and behaviors. The study surveys 321 individuals across three ethical IT dilemmas of varying moral character and technology use. Ethical intentions and decisions deviated significantly from when situational moral judgments were considered, emphasizing utilitarian and relativist judgments. These decision-making models are transformed when ethical IT dilemmas were attributed to different domains of morality, exhibiting not only different patterns of moral reasoning but also an entirely different moral character. Finally, the salience of IT moral affordances varied between ethical dilemmas and demonstrated some influence on ethical IT decisions and intentions; however, these moral affordances lacked predictive efficacy within the broader ethical IT decision-making model

Learning The Differences Between Ontologies and Conceptual Schemas Through Ontology-Driven Information Systems.

In the traditional systems modeling approach, the modeler is required to capture a user\u27s view of some domain in a formal conceptual schema. The designer\u27s conceptualization may or may not match with the user\u27s conceptualization. One of the reasons for these conflicts is the lack of an initial agreement among users and modelers concerning the concepts belonging to the domain. Such an agreement could be facilitated by means of an ontology. If the ontology is previously constructed and formalized so that it can be shared by the modeler and the user in the development process, such conflicts would be less likely to happen. Following up on that, a number of investigators have suggested that those working on information systems should make use of commonly held, formally defined ontologies that would constrain and direct the design, development, and use of information systems - thus avoiding the above mentioned difficulties. Whether ontologies represent a significant advance from the more traditional conceptual schemas has been challenged by some researchers. We review and summarize some major themes of this complex discussion. While recognizing the commonalities and historical continuities between conceptual schemas and ontologies, we think that there is an important emerging distinction that should not be obscured and should guide future developments. In particular, we propose that the notions of conceptual schemas and ontologies be distinguished so as to play essentially different roles for the developers and users of information systems. We first suggest that ontologies and conceptual schemas belong to two different epistemic levels. They have different objects and are created with different objectives. Our proposal is that ontologies should deal with general assumptions concerning the explanatory invariants of a domain - those that provide a framework enabling understanding and explanation of data across all domains inviting explanation and understanding. Conceptual schemas, on the other hand, should address the relation between such general explanatory categories and the facts that exemplify them in a particular domain (e.g., the contents of the database). In contrast to ontologies, conceptual schemas would involve specification of the meaning of the explanatory categories for a particular domain as well as the consequent dimensions of possible variation among the relevant data of a given domain. Accordingly, the conceptual schema makes possible both the intelligibility and the measurement of those facts of a particular domain. The proposed distinction between ontologies and conceptual schemas makes possible a natural decomposition of information systems in terms of two necessary but complementary epistemic functions: identification of an invariant background and measurement of the object along dimensions of possible variation. Recognition of the suggested distinction represents, we think, a natural evolution in the field of modeling, and significant principled guidance for developers and users of information systems

Mission impossible: operations management in complex, extreme, and hostile environments

This PhD thesis seeks to advance knowledge on operations management (OM) challenges and strategies for crisis management in general and humanitarian relief in particular. Although knotty crisis situations are increasing in frequency, duration, and impact, their implications for OM remain ill-understood. I use the humanitarian context as a research setting because its features inherently render it challenging. Through comprehensive empirical studies, I explore the implications of complexity, extremity, and hostility for the operations of international humanitarian organisations (IHOs). The most crucial insights concern how contextual features impact IHOs’ decision space and outcomes. In studying complex emergencies as an exemplar phenomenon that induces complexity because of its politically charged nature, I find that inherent tensions between host government and IHOs interests lead to logistical inefficiencies for IHOs. Host government regulation and enforcement capabilities determine their nature and severity. My exploration of extremity caused by overlapping disasters leads to the curious finding that humanitarian supply networks exhibit resilience to overcome, and benefit from, unprecedented crises. Nonetheless, resilience capabilities and considerations become unsuitable as crises become long-drawn out. To explore the implications of hostility, I study operations in armed conflicts. Results show that when strategizing, the main trade-offs are cross-cutting between Humanitarian Action (HA) principles and OM performance objectives. Interestingly, the same IHO strategy leads to different results across conflicts. Overall, this thesis demonstrates that alternatives to conventional OM strategy and practices are needed in knotty contexts. The findings will be of interest to researchers and practitioners in OM, HA, and crisis management

Managing Schema Change in an Heterogeneous Environment

Change is inevitable even for persistent information. Effectively managing change of persistent information, which includes the specification, execution and the maintenance of any derived information, is critical and must be addressed by all database systems. Today, for every data model there exists a well-defined set of change primitives that can alter both the structure (the schema) and the data. Several proposals also exist for incrementally propagating a primitive change to any derived information (or view). However, existing support is lacking in two ways. First, change primitives as presented in literature are very limiting in terms of their capabilities allowing users to simply add or remove schema elements. More complex types of changes such the merging or splitting of schema elements are not supported in a principled manner. Second, algorithms for maintaining derived information often do not account for the potential heterogeneity between the source and the target. The goal of this dissertation is to provide solutions that address these two key issues. The first part of this dissertation addresses the challenge of expressing a rich complex set of changes. We propose the SERF (Schema Evolution through an Extensible, Re-usable and Flexible) framework that allows users to perform a wide range of complex user-defined schema transformations. Our approach combines existing schema evolution primitives using OQL (object query language) as the glue logic. Within the context of this work, we look at the different domains in which SERF can be applied, including web site management. To further enrich our framework, we also investigate the optimization and verification of SERF transformations. The second part of this dissertation addresses the problem of maintaining views in the face of source changes when the source and the view are not in the same data model. With today\u27s increasing heterogeneity in information structure, it is critical that maintenance of views addresses the data model boundaries. However, view definitions that go across data models are limited to hard-coded algorithms, thereby making it difficult to develop general maintenance algorithms. We provide a two-step solution for this problem. We have developed a cross algebra, that defines views such that there is no restriction that forces the view and the source data models to be the same. We then define update propagation algorithms that can propagate changes from source to target irrespective of the exact translation and the data models. We validate our ideas by applying them to translation and change propagation between the XML and relational data models