130,414 research outputs found
Emergent Capabilities for Collaborative Teams in the Evolving Web Environment
This paper reports on our investigation of the latest advances for the Social Web, Web 2.0 and the Linked Data Web. These advances are discussed in terms of the latest capabilities that are available (or being made available) on the Web at the time of writing this paper. Such capabilities can be of significant benefit to teams, especially those comprised of multinational, geographically-dispersed team members. The specific context of coalition members in a rapidly formed diverse military context such as disaster relief or humanitarian aid is considered, where close working between non-government organisations and non-military teams will help to achieve results as quickly and efficiently as possible. The heterogeneity one finds in such teams, coupled with a lack of dedicated private network infrastructure, poses a number of challenges for collaboration, and the current paper represents an attempt to assess whether nascent Web-based capabilities can support such teams in terms of both their collaborative activities and their access to (and sharing of) information resources
Dynamic Networks and Distributed Problem-Solving
The effect of dynamic networks on distributed problem-solving was examined using a multi-agent simulation environment. Synthetic agents were tasked with the problem of finding optimal solutions to a specific design problem, and they were allowed to communicate the results of their search efforts to other agents via a dynamically-evolving communication network structure. The growth of the network was determined by two parameters. One parameter determined the rate at which the network structure emerged, while the second determined the point at which the first network link was formed. Together, these parameters produced a reliable effect on collective problem-solving performance. Firstly, performance was negatively affected by the rate of network growth, with faster growth rates producing poorer performance. Secondly, performance was improved by introducing longer initial delay periods into the network formation process, a manipulation which also served to attenuate the decline in performance seen with increasing network growth rates. Of particular interest, the study found that networks with dynamic, constructive topologies delivered a better profile of performance relative to networks with fixed, static topologies. The results are discussed in relation to our understanding of how military coalition communication networks may affect performance outcomes in distributed problem-solving environments
Collective Cognition: Exploring the Dynamics of Belief Propagation and Collective Problem Solving in Multi-Agent Systems
We tend to think of cognition as something that takes place inside the heads of individual human agents; however, it is clear that many of our cognitive accomplishments depend just as much on our ability to exploit the elements of our social and technological environments as they do on the information processing dynamics of the biological brain. Our social networks constitute a particularly potent source of bio-external scaffolding: one that shapes, constrains and influences the profile of much of our daily cognitive activity. However, the precise way in which networks enable a group of agents to coordinate their thoughts and actions in cognitively-productive ways is still something of which we have, as yet, very little understanding. This paper is an attempt to review the status of our current understanding of network-enabled collective cognition and to explore ways in which our current understanding might be improved. The primary targets for discussion are the dynamics of belief propagation and collective problem-solving in multi-agent systems. These phenomena, we suggest, provide potent examples of collective cognition in terms of both cognitive state fluctuations (belief propagation) and cognitive processing (collective problem solving). In addition to reviewing the literature in these areas, we also present a number of ideas to help guide future research efforts
Using Semantic Web Technologies to Support Information Processing and Coalition Decision-Making
This paper outlines three techniques and tools which have recently arisen from Semantic Web research in the International Technology Alliance. The first of these techniques is POAF (Portable Ontology Aligned Fragments), which addresses issues relating to the portability and usage of ontology alignments. POAF uses an ontology fragmentation strategy to achieve portability, and it enables subsequent usage of ontologies through a form of automated ontology modularization. The second technique, SWEDER (Semantic Wrapping of Existing Data sources with Embedded Rules), is grounded in the creation of lightweight ontologies to semantically wrap existing data sources, which facilitates rapid semantic integration through representational homogeneity and embedded rules. The third technique is NITELIGHT, which is a tool that has been created to better support end users with respect to the creation and editing of semantic queries. NITELIGHT uses a visual query language, called vSPARQL, and it is based on the W3C SPARQL query language specification. NITELIGHT supports end users by providing a set of graphical notations that represent semantic query language constructs. These enable the user to combine ontology navigation capabilities with graphical query visualisation techniques
A Formal Context Representation Framework for Network-Enabled Cognition
Network-accessible resources are inherently contextual with respect to the specific situations (e.g., location and default assumptions) in which they are used. Therefore, the explicit conceptualization and representation of contexts is required to address a number of problems in Network- Enabled Cognition (NEC). We propose a context representation framework to address the computational specification of contexts. Our focus is on developing a formal model of context for the unambiguous and effective delivery of data and knowledge, in particular, for enabling forms of automated inference that address contextual differences between agents in a distributed network environment. We identify several components for the conceptualization of contexts within the context representation framework. These include jurisdictions (which can be used to interpret contextual data), semantic assumptions (which highlight the meaning of data), provenance information and inter-context relationships. Finally, we demonstrate the application of the context representation framework in a collaborative military coalition planning scenario. We show how the framework can be used to support the representation of plan-relevant contextual information
Development of a Controlled Natural Language Interface for Semantic MediaWiki
Semantic wikis support the collaborative creation, editing and utilization of semantically-enriched content, and they may therefore be well-suited to addressing problems associated with the limited availability of high-quality online semantic content. Unfortunately, however, many popular semantic wikis, such as Semantic MediaWiki (SMW), are not sufficiently expressive to support full-scale ontology authoring. Furthermore, the grounding of the Semantic Web in formal logic makes both the comprehension and production of ontological content difficult for many end-users. In order to address these issues, the expressivity of SMW was extended using a combination of semantic templates and a Web Ontology Language (OWL) meta-model. Semantic templates were also used to provide an ontology verbalization capability for SMW using the Rabbit Controlled Natural Language (CNL). The resulting system demonstrates how CNL interfaces can be implemented on top of SMW. The proposed solution introduces no changes to the underlying functionality of the SMW system, and the use of semantic templates as an ontology verbalization solution means that end-users can exploit all the usual features of conventional wiki systems to collaboratively create new CNL verbalization capabilities
Semantic Web Techniques to Support Interoperability in Distributed Networked Environments
We explore two Semantic Web techniques arising from ITA research into semantic alignment and interoperability in distributed networks. The first is POAF (Portable Ontology Aligned Fragments) which addresses issues relating to the portability and usage of ontology alignments. POAF uses an ontology fragmentation strategy to achieve portability, and enables subsequent usage through a form of automated ontology modularization. The second technique, SWEDER (Semantic Wrapping of Existing Data sources with Embedded Rules), is grounded in the creation of lightweight ontologies to semantically wrap existing data sources, to facilitate rapid semantic integration through representational homogeneity. The semantic integration is achieved through the creation of context ontologies which define the integrations and provide a portable definition of the integration rules in the form of embedded SPARQL construct clauses. These two Semantic Web techniques address important practical issues relevant to the potential future adoption of ontologies in distributed network environments
A Visual Approach to Semantic Query Design Using a Web-Based Graphical Query Designer
Query formulation is a key aspect of information retrieval, contributing to both the efficiency and usability of many semantic applications. A number of query languages, such as SPARQL, have been developed for the Semantic Web; however, there are, as yet, few tools to support end users with respect to the creation and editing of semantic queries. In this paper we introduce NITELIGHT, a Web-based graphical tool for semantic query construction that is based on the W3C SPARQL specification. NITELIGHT combines a number of features to support end-users with respect to the creation of SPARQL queries. These include a columnar ontology browser, an interactive graphical design surface, a SPARQL-compliant visual query language, a SPARQL syntax viewer and an integrated semantic query results browser. The functionality of each of these components is described in the current paper. In addition, we discuss the potential contribution of the NITELIGHT tool to rule creation/editing and semantic integration capabilities
Integrative Use of Information Extraction, Semantic Matchmaking and Adaptive Coupling Techniques in Support of Distributed Information Processing and Decision-Making
In order to press maximal cognitive benefit from their social, technological and informational environments, military coalitions need to understand how best to exploit available information assets as well as how best to organize their socially-distributed information processing activities. The International Technology Alliance (ITA) program is beginning to address the challenges associated with enhanced cognition in military coalition environments by integrating a variety of research and development efforts. In particular, research in one component of the ITA ('Project 4: Shared Understanding and Information Exploitation') is seeking to develop capabilities that enable military coalitions to better exploit and distribute networked information assets in the service of collective cognitive outcomes (e.g. improved decision-making). In this paper, we provide an overview of the various research activities in Project 4. We also show how these research activities complement one another in terms of supporting coalition-based collective cognition
The Network-Extended Mind
Whereas the traditional view in cognitive science has been to view mind and cognition as something that is the result of essentially inner, neural processes, the extended cognition perspective claims that at least some human mental states and processes stem from complex webs of causal influence involving extra-neural resources, most notably the resources of our social and technological environments. In this chapter, we explore the possibility that contemporary and near-future network systems are poised to extend and perhaps transform our human cognitive potential. We also examine the extent to which the information and network sciences are relevant to our understanding of various forms of cognitive extension, particularly with respect to the formation, maintenance and functioning of extended cognitive systems in network-enabled environments. Our claim is that the information and network sciences are relevant on two counts: firstly, they support an understanding of the mechanisms underpinning socially- and technologically-mediated forms of cognitive extension; secondly, they serve to guide and inform engineering efforts that strive to enhance and expand our cognitive capabilities. We discuss the relevance and applicability of these conclusions to current and future research exploring the contribution of network technologies to military coalition operations
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