5485929
ITTALKS: A Case Study in the Semantic Web and DAML
Effective use of the vast quantity of information now available on the web will require the use of "Semantic Web" markup languages such as the DARPA Agent Markup Language (DAML). Such languages will enable the automated gathering and processing of much information that is currently available but insufficiently utilized. Effectively, such languages will facilitate the integration of multi-agent systems with the existing information infrastructure. As part of our exploration of Semantic Web technology, and DAML in particular, we have constructed ITTALKS, a web-based system for automatic and intelligent notification of information technology talks. In this paper, we describe the ITTALKS system, and discuss the numerous ways in which the use of Semantic Web concepts and DAML extend its ability to provide an intelligent online service to both the human community and the agents assisting them.
1375108
Centaurus: a framework for intelligent services in a mobile environment
In an age where wirelessly networked appliances and devices are becoming commonplace, there is a necessity for connecting them to work together for a mobile user. The design outlined in the paper provides an infrastructure and communication protocol for providing 'smart' services to these mobile devices. This flexible framework allows any medium to be used for communication between the system and the portable device, including infra-red, and BlueTooth. Using Extensible Markup Language (XML) for information passing, gives the system a uniform and easily adaptable interface. We explain our trade-offs in implementation and through experiments we show that the design is feasible and that it indeed provides a flexible structure for providing services. Centaurus provides a uniform infrastructure for heterogeneous services, both hardware and software services, to be made available to the users everywhere where they are needed.
9863446
ITTALKS: An Application of Agents in the Semantic Web
Effective use of the vast quantity of information now available on the web will require the use of "Semantic Web" markup languages such as the DARPA Agent Markup Language (DAML). Such languages will enable the automated gathering and processing of much information that is currently available but insufficiently utilized. Effectively, such languages will facilitate the integration of multi-agent systems with the existing information infrastructure. As part of our exploration of SemanticWeb technology, and DAML in particular, we have constructed ITTALKS, a web-based system for automatic and intelligent notification of information technology talks. In this paper, we describe the ITTALKS system, and discuss the numerous ways in which the use of Semantic Web concepts and DAML extend its ability to provide an intelligent online service to both the human community and the agents assisting them.
8713624
Intelligent agents meet semantic web in a smart meeting room
We describe a new smart meeting room system called EasyMeeting that explores the use of FIPA agent technologies, Semantic Web ontologies, logic reasoning, and security and privacy policies. Building on a pervasive computing system that we have developed previously, EasyMeeting can provide relevant services and information to meeting participants based on their situational needs. Our system exploits the context-aware support provided by the Context Broker Architecture (CoBrA). Central to CoBrA is an intelligent broker agent that maintains a shared model of context for all computing entities in the space and enforces the privacy policies defined by the users. We also describe the use of CoBrA ontologies, logic reasoning, and privacy protection mechanisms, and evaluate our initial user experience studies.
14330906
Creating Context-Aware Software Agents
Sharing ontologies, sensing context and reasoning are crucial to the realization of context-aware software agents. This document de- scribes our efforts in using the Resource Description Framework (RDF) and Prolog Forward Chaining (Pfc) system to provide support for ontology sharing and reasoning in the CoolAgent Recommendation System (CoolAgent RS), a context-aware multi-agent system. We also describes the implementation of the CoolAgent RS document and cuisine recommendation services that provide tailored services by exploiting user's context.
16963632
Agents Making Sense of the Semantic Web
Effective use of the vast quantity of available information and services on the Internet will require multi-agent systems to be tightly integrated with existing web infrastructure. This however will be impossible unless the information on the web is presented in a semantic language, such as the DARPA Agent Markup Language (DAML), which is one aim of the “Semantic Web”. As part of our exploration of Semantic Web technology, and DAML in particular, we have constructed ITTALKS, a web-based system for automatic and intelligent notification of information technology talks. In this paper, we describe the ITTALKS system, and discuss the numerous ways in which the use of Semantic Web concepts and DAML extend its ability to provide an intelligent online service to both the human community and, more interestingly, the agents assisting them.
32552978
A Knowledge-Based Design for Hypertext-Based Document Retrieval Systems
This paper presents some aspects of an ongoing research that. aims at incorporating knowledge-based search mechanisms into hypertext-based document retrieval systems. We propose an information structure that is grounded on a semantic network-based thesaurus. It serves to represent the documents and concepts (terms) involved in information retrieval. The second important component of our design is heuristics-based search mechanisms that were derived from our prior cognitive modeling study (which investigated the search strategies of expert searchers). By incorporating these components into a navigation-based hypertext, we attempt to create a system that facilitates effective and efficient information retrieval in a complex retrieval environment.
21787077
Information Visualization for Collaborative Computing
Information technology continues to generate increasing amounts of data, most of which is useless without scalable methods to collect, analyze, process, and understand it. Visualization is a promising approach to such systemization because it lets users see underlying processes and guide process simulations interactively. However, visualization must be combined with some way to make repositories of text documents more manageable, providing users with a flexible, interactive environment in which to access them. The article describes a prototype tool that addresses these problems for GroupSystems, an electronic meeting system developed at the University of Arizona and installed at more than 1,500 business, government, and university settings. The tool automatically categorizes information, statistically clusters similar documents, and displays the organized document set graphically, providing more at-a-glance information than a typical text based display. Users can thus more easily browse document collections. The tool uses text analysis techniques that aim to identify descriptors and develop an unambiguous internal representation of a document.
15293705
Design and evaluation of a multi-agent collaborative Web mining system
Most existing Web search tools work only with individual users and do not help a user benefit from previous search experiences of others. In this paper, we present the Collaborative Spider, a multi-agent system designed to provide post-retrieval analysis and enable across-user collaboration in Web search and mining. This system allows the user to annotate search sessions and share them with other users. We also report a user study designed to evaluate the effectiveness of this system. Our experimental findings show that subjects' search performance was degraded, compared to individual search scenarios in which users had no access to previous searches, when they had access to a limited number (e.g., 1 or 2) of earlier search sessions done by other users. However, search performance improved significantly when subjects had access to more search sessions. This indicates that gain from collaboration through collaborative Web searching and analysis does not outweigh the overhead of browsing and comprehending other users' past searches until a certain number of shared sessions have been reached. In this paper, we also catalog and analyze several different types of user collaboration behavior observed in the context of Web mining.
41746629
Quick Buddy-Subcube Compaction in Hypercubes
After repeated subcube allocation and deallocation, the hypercube system tends to become fragmented, which can be taken care of by using subcube compaction. Basic buddy-subcube compaction deals with compacting free buddy-subcubes with the same dimension concurrently. All migration paths are pairwise disjoint and contain no links of active subcubes, so that task migration can be performed without suspending the execution of other jobs. This paper considers quick buddy-subcube compaction in that not only can free subcubes with two adjacent dimensions be compacted concurrently, but two disjoint paths can be established between every pair of source-target nodes. Parallel subcube compaction with two concurrent dimensions apparently speeds up subcube compaction by a factor of two. The use of double disjoint paths between each pair of source-target nodes also speeds up subcube compaction by a factor of nearly two. Thus, our approach can speed up subcube compaction by a factor of nearly four.
38977435
Sharing and Visualizing Infectious Disease Datasets Using the WNV-BOT Portal System
Infectious disease outbreaks are critical threats to public health and national security. Information systems play a central role in developing an effective comprehensive approach to prevent, detect, respond to, and manage infectious disease outbreaks of plants, animals, and humans.