Towards a killer app for the Semantic Web

Killer apps are highly transformative technologies that create new markets and widespread patterns of behaviour. IT generally, and the Web in particular, has benefited from killer apps to create new networks of users and increase its value. The Semantic Web community on the other hand is still awaiting a killer app that proves the superiority of its technologies. There are certain features that distinguish killer apps from other ordinary applications. This paper examines those features in the context of the Semantic Web, in the hope that a better understanding of the characteristics of killer apps might encourage their consideration when developing Semantic Web applications

Agreement Computing

[EN] In this paper we introduce the concept of Agreement Computing, motivate the central role that the concept of agreement plays in open software systems and discuss a number of research challenges that need to be addressed to make the agreement computing vision a reality.Research supported by the Agreement Technologies CONSOLIDER project under contract CSD2007-0022 and INGENIO 2010 and by the Agreement Technologies COST Action, IC0801.Sierra Garcia, C.; Botti Navarro, VJ.; Ossowski, DS. (2011). Agreement Computing. KI - Künstliche Intelligenz. 25(1):57-61. https://doi.org/10.1007/s13218-010-0070-yS5761251Arcos JL, Esteva M, Noriega P, Rodríguez JA, Sierra C (2005) Engineering open environments with electronic institutions. Eng Appl Artif Intell 18(2):191–204Boella G, Noriega P, Pigozzi G, Verhagen H (2009) In: Dagstuhl seminar proceedings 09121: normative multi-agent systems.Henrik G, Wright V (1963) Norm and action, a logical enquiry. Routledge and Kegan Paul, LondonHermenegildo M, Albert E, López-García P, Puebla G (2005) Abstraction carrying code and resource-awareness. In: Principle and practice of declarative programming. ACM Press, New YorkJennings N, Faratin P, Lomuscio A, Parsons S, Sierra C, Wooldridge M (2001) Automated negotiation: prospects methods and challenges. Group Decis Negot 10(2):199–215Jøsang A, Ismail R, Boyd C (2007) A survey of trust and reputation systems for online service provision. Decis Support Syst 43(2):618–644Kalfoglou Y, Schorlemmer M (2003) IF-Map: an ontology-mapping method based on information-flow theory. In: Spaccapietra S, March S, Aberer K (eds) Journal on data semantics I. Lecture notes in computer science, vol 2800. Springer, Heidelberg, pp 98–127Ko RKL, Lee SSG, Lee EW (2009) Business process management (bpm) standards: a survey. Bus Process Manag J 15(5):744–791Kraus S (1997) Negotiation and cooperation in multi-agent environments. Artif Intell 94(1–2):79–97March J (1996) A preface to understanding how decisions happen in organizations. In: Organizational decision-making, Cambridge University Press, CambridgeNecula GC, Lee P (1996) Proof-carrying code. Tech repRoss A (1968) Directives and norms. Humanities, Atlantic HighlandsSierra C, Debenham J (2006) Trust and honour in information-based agency. In: Proceedings of the 5th international conference on autonomous agents and multiagent systems. ACM Press, New York, pp 1225–1232Simon HA Administrative behavior. Free Press (1997)Vasirani M, Ossowski S (2009) A market-inspired approach to reservation-based urban road traffic management. In: Proceedings of the 8th international conference on autonomous agents and multiagent systems, IFAAMAS, pp. 617–62

The Application of Advanced Knowledge Technologies for Emergency Reponse

The University of Edinburgh and research sponsors are authorised to reproduce and distribute reprints and on-line copies for their purposes notwithstanding any copyright annotation hereon. The views and conclusions contained herein are the author’s and shouldn’t be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of other parties.Making sense of the current state of an emergency and of the response to it is vital if appropriate decisions are to be made. This task involves the acquisition, interpretation and management of information. In this paper we present an integrated system that applies recent ideas and technologies from the fields of Artificial Intelligence and semantic web research to support sense- and decision-making at the tactical response level, and demonstrate it with reference to a hypothetical large-scale emergency scenario. We offer no end-user evaluation of this system; rather, we intend that it should serve as a visionary demonstration of the potential of these technologies for emergency response

Tool Support for the Integration of Light-Weight Ontologies

Abstract. In many areas of computer science ontologies become more and more important. The use of ontologies for domain modeling often brings up the issue of ontology integration. The task of merging several ontologies, covering specific subdomains, into one unified ontology has to be solved. Many approaches for ontology integration aim at automating the process of ontology alignment. However, a complete automation is not feasible, and user interaction is always required. Nevertheless, most ontology integration tools offer only very limited support for the interactive part of the integration process. In this paper, we present a novel approach for the interactive integration of ontologies. The result of the ontology integration is incrementally updated after each definition of a correspondence between ontology elements. The user is guided through the ontologies to be integrated. By restricting the possible user actions, the integrity of all defined correspondences is ensured by the tool we developed. We evaluated our tool by integrating different regulations concerning building design

A comparative evaluation of heuristic-based usability inspection methods

Given that heuristic evaluation (HE) is a popular evaluation method among practitioners despite criticisms surrounding its performance and reliability, there is a need to improve the method's performance. Several studies have shown HE-Plus, an emerging variant of HE, to outperform HE in both effectiveness and reliability. HE-Plus uses the same set of heuristics as HE; the only difference between these two methods is the 'usability problems profile' element in HE-Plus. This paper reports our attempt to verify the original profile employed in HE-Plus based on usability problem classification in the User Action Framework and an experiment evaluating its outcome by comparing HE with two HE variants using a profile (HE-Plus and HE++) and a control group. Our results confirmed the role of the 'usability problems profiles' on improving the performance and reliability of heuristic evaluation: both HE-Plus and HE++ outperformed HE in terms of effectiveness as well as reliability