https://cs.uwaterloo.ca/~brecht/courses/854-Emerging-2014/readings/iot/iot-survey.pdf

The Internet of Things: A survey

In recent year, the Internet of Things (IoT) has drawn significant research attention. IoT is considered as a part of the Internet of the future and will comprise billions of intelligent communicating `things'. The future of the Internet will consist of heterogeneously connected devices that will further extend the borders of the world with physical entities and virtual components. The Internet of Things (IoT) will empower the connected things with new capabilities. In this survey, the definitions, architecture, fundamental technologies, and applications of IoT are systematically reviewed. Firstly, various definitions of IoT are introduced; secondly, emerging techniques for the implementation of IoT are discussed; thirdly, some open issues related to the IoT applications are explored; finally, the major challenges which need addressing by the research community and corresponding potential solutions are investigated.

The internet of things: a survey

The Semantic Web should enable greater access not only to content but also to services on the Web. Users and software agents should be able to discover, invoke, compose, and monitor Web resources offering particular services and having particular properties. As part of the DARPA Agent Markup Language program, we have begun to develop an ontology of services, called DAML-S, that will make these functionalities possible. In this paper we describe the overall structure of the ontology, the service profile for advertising services, and the process model for the detailed description of the operation of services. We also compare DAML-S with several industry efforts to define standards for characterizing services on the Web.

/pdf/daml-s-semantic-markup-for-web-services-2bz2kpfwet.pdf

DAML-S: semantic markup for web services

The paradigmatic shift from a Web of manual interactions to a Web of programmatic interactions driven by Web services is creating unprecedented opportunities for the formation of online business-to-business (B2B) collaborations. In particular, the creation of value-added services by composition of existing ones is gaining a significant momentum. Since many available Web services provide overlapping or identical functionality, albeit with different quality of service (QoS), a choice needs to be made to determine which services are to participate in a given composite service. This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service. Two selection approaches are described and compared: one based on local (task-level) selection of services and the other based on global allocation of tasks to services using integer programming.

/pdf/qos-aware-middleware-for-web-services-composition-x57gs4mhme.pdf

QoS-aware middleware for Web services composition

Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaikos book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, and artificial intelligence. The second edition of Ontology Matching has been thoroughly revised and updated to reflect the most recent advances in this quickly developing area, which resulted in more than 150 pages of new content. In particular, the book includes a new chapter dedicated to the methodology for performing ontology matching. It also covers emerging topics, such as data interlinking, ontology partitioning and pruning, context-based matching, matcher tuning, alignment debugging, and user involvement in matching, to mention a few. More than 100 state-of-the-art matching systems and frameworks were reviewed. With Ontology Matching, researchers and practitioners will find a reference book that presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can be equally applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a systematic and detailed account of matching techniques and matching systems from theoretical, practical and application perspectives.

Ontology Matching

Agents are expected to use the MAS infrastructure in their interaction, but no work has been done on how agents learn of the sorrounding infrastructure. In this paper, we describe a discovery mechanism, that allows agents to rapidly track the changes in the infrastructure of their local networks in order to maintain a consistently high level of interoperation with other agents. In addition, we show how the discovery protocols can be extended over the Internet through a Peer-to-Peer connectivity model based on the Gnutella architecture to create Agent-to-Agent (A2A) communities.

/pdf/discovery-of-infrastructure-in-multi-agent-systems-31ry2irrsl.pdf

Discovery of infrastructure in multi-agent systems

The advancement of Ubicomp technologies leverages mobile interaction with physical objects and facilitates ubiquitous access to information and services. This provides new opportunities for mobile interaction with the real world, but also creates new challenges regarding the complexity of mobile applications, their interaction design and usability. In order to take advantage of this potential beyond simple interaction with single objects and tags, this paper investigates mobile interaction with multiple objects, tags and associated information. It introduces Collect&Drop as a generic technique for Multi-Tag Interaction that supports the collection, storage and management of information from the real world as well as its usage with different services. This paper describes the concept, architecture and interaction design of Collect&Drop and presents a user study that evaluates its features.

/pdf/collect-drop-a-technique-for-multi-tag-interaction-with-real-1u8cezopik.pdf

Collect&Drop: A Technique for Multi-Tag Interaction with Real World Objects and Information

The workshop on Mobile Interaction with the Real World (MIRW 2009) will invite papers which focus on new mobile and wearable input and output interfaces which allow simpler and straightforward interactions with mobile services and applications An inherit problem of current mobile devices are their limited output and input capabilities This workshop continues a successful series of workshops (2006--2008) that focus on new approaches to overcome these issues Examples are the usage of external visual interfaces (eg projector phones, public displays, interactive surfaces) and additional input capabilities (eg gestures, on-body interfaces, pointing) and innovative feedback mechanisms (eg tactile feedback) The workshop combines technical presentations with the presentation of prototypes and focused discussions to drive interaction between participants

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Mobile interaction with the real world

UDDI is a standard registry for Web services, but so far its search functionality has been limited to keyword search. These authors propose a UDDI enhancement called Matchmaker, which supports semantic service capability discovery. Since September 2003, they have deployed Matchmaker in one of four official UDDI registries operated by NTT-Communications. In this article, they introduce Matchmaker and illustrate client tools that lower the threshold for using semantics in service discovery. Experiments show that Matchmaker search consumes about 5 seconds more time than a typical keyword-based search. The authors also collected user information through questionnaires and by observation of search behavior.

Web services lookup: a matchmaker experiment

A-Match is a matchmaking system that allows agents to enter and exit the system dynamically. It employs a Matchmaker to support agents in the system in their exchange of services. A-Match lets human users interact with the Matchmaker. Through the A-Match users find agents that can provide needed services or advertise new agents. The functionality of the A-Match is displayed in the context of the Warren System, a system that supports the user to manage its own stock portfolio.

/pdf/matchmaking-to-support-intelligent-agents-for-portfolio-5a582vgbdh.pdf

Massimo Paolucci

Papers

Discovery of infrastructure in multi-agent systems

Collect&Drop: A Technique for Multi-Tag Interaction with Real World Objects and Information

Mobile interaction with the real world

Web services lookup: a matchmaker experiment

Matchmaking to Support Intelligent Agents for Portfolio Management