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Summary form only given. Classical information retrieval is based around a user having an information need, formulated as a query, and a system which matches the query against 'documents', retrieving those most likely to be relevant. In some applications there are challenges because the 'documents' are not discrete objects but highly inter-connected, and IR research has for decades developed models...
Distributed Constraint Optimization Problem (DCOP) is a framework that recently emerged as one of the most successful approaches for coordination in Multi-Agent system. Dynamic Programming Optimization (DPOP) is an algorithm which requires only a linear number of messages, thus introducing exponentially less network overhead than other search algorithms when applied in a distributed setting. In DPOP...
Many algorithms to solve Distributed Constraint Satisfaction Problems (DisCSP) have been introduced in the literature. In this paper, we propose to compare three different algorithms to solve DisCSP. Contrary to algorithms of the literature which are evaluated on graph coloring problems or uniform random binary DisCSPs, we use a multi-robot exploration problem. We show that, for this real world application,...
An auction mechanism consists of an allocation rule and a payment rule. There have been several studies on characterizing strategy-proof allocation rules; if the allocation rule satisfies a condition called weak-monotonicity, an appropriate payment rule is guaranteed to exist. One desirable property that an auction mechanism should satisfy is revenue monotonicity; a seller's revenue is guaranteed...
The spread of information and emotion within groups is studied in models of social diffusion. Evidence has been found that the emotional states of humans affect their information processing abilities, and hence, may affect the spread of information as well. This paper introduces an agent-based model that simulates the spread of information and emotion among a group of agents. The model takes both...
In this paper we discuss a modular multi-sense perception system for DIVAs virtual agents. It is based on the idea that local environmental influences are constantly sensed by one or more of an agent's senses (sight, hearing, smell, etc.). The perception system is extensible and modifiable and allows users to dynamically modify how an agent perceives its environment at execution time. This paper focuses...
Current web is known as a space with constantly growing interactivity among its users. It is changing from the data storage into a social interaction place where people not only search interesting information, but also communicate and collaborate. Obviously, social networks are the most used places for common interaction among people. We present a method for analysis of the strength of relationships...
The article discusses the potential methods and benefits of the analysis of social networks hidden in the enterprise and personal email archives. A proof-of concept prototype was developed. Social network extraction and the spreading activation algorithm are discussed and evaluated.
Persuasion is an act to change people's attitudes or behaviors and it will be an important element for the next-generation e-commerce or e-shopping sites. This paper discusses an approach to develop a persuasive Web site with a persuasion function to persuade the customers to buy a specific item. Persuasion process consists of three steps; acquiring the initial preference of the customer, analyzing...
This paper addresses visualized clustering methods that are embedded in CorMap and iView analysis of ideas towards the concerned topic. K-means clustering, automatic affinity diagram (KJ method) and self-organizing map are applied to CorMap analysis and graph clustering algorithm is applied to iView analysis are introduced. We report the visualized clustering results of workshops of a famous scientific...
As meta-synthesis approach is proposed to deal with complex system problem, the problem solving process under the meta-synthesis workshop is of importance. This paper discusses the working process of the meta-synthesis workshop which could be expressed as a three-dimension process consists of problem solving, expert collaboration and knowledge discovery (PS-EC-KD). Then, we propose a framework of...
This paper describes an NLP-based Chinese ontology construction platform developed by the authors. The construction platform is developed based on the open source project Protégé. The paper mainly focuses on two key technologies of automatic construction of ontology-the extraction of attribute value and the automatic generation of ontology hierarchy structure. The paper then introduces how the automatic...
This paper presents a novel supposition, One Sense Per N-gram (N > 1), which we believe is appropriate for more linguistic phenomena and can serve as a general version instead of the celebrated One Sense Per Collocation supposition, at least in Chinese language. This new supposition is based on our observation of the error detection process of annoted sense in People's Daily that are tagged by...
The assessment of data quality is a key success factor for organisational performance. It supports managers and executives to clearly identify and present incomplete or inconsistent values in their information systems and as a result, minimises and eliminates the risk associated with decisions based on poor data. Despite the important of data quality assessment, limited research has been carried out...
Navigation of a student over learning objects can be solved by using concept space of a domain which contains information about structural and dependency relations between concepts. Every learning object has defined relations to several concepts. Relations which exist in the learning object space also exist in the concept space between the corresponding concepts. We present an evaluation of controlled...
Although static ranked lists remain the dominant Web search interface, they can limit the ability of Web searchers to find desired information when it is buried deep in the collection of search results. Web search visualization and Web search personalization are two active research directions that have shown promise for improving the user experience while searching the Web. In this paper, we propose...
The quality of discovered patterns is important for relevance feature discovery in text documents because frequent pattern mining often produces many noisy patterns. In this paper, we propose a novel method for the summarization of discovered patterns in text documents, finding a smaller number of specific patterns for representing the large number of discovered patterns for a given topic. We also...
In this paper, we propose the use of an agent-based architecture to enhance workflow system capacity to support interprofessional, patient-centred palliative care delivery. This paper outlines the concept of palliative care and describes how agents can be used to assist care providers to address the needs of the patient and family. Our architecture is illustrated in a diagram and the agents are described...
The correctness of mission-critical software is an important part of information security, but oracle problem and test data generation are constraints for some programs. Although metamorphic testing (MT) is practical for programs with oracle problem and evolutionary testing (ET) is a good application of genetic algorithm (GA) for automatic test data generation, fitness functions used in ET are not...
Workflow recognition through processing of humans and objects in a camera sensor network, presents a significant challenge recently. Human action recognition and sequence of actions manipulation, that construct a workflow situation/rule, has many practical applications in many different real human application environments. This article presents a multi agent based real time infrastructure, for recognizing...
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