Web Intelligence and Agent Systems: An International Journal - Volume 5, issue 3

Authors: King, John D. | Li, Yuefeng | Tao, Xiaohui | Nayak, Richi

Article Type: Research Article

Abstract: Little is known about the content of the major search engines. We present an automatic learning method which trains an ontology with world knowledge of hundreds of different subjects in a three-level taxonomy covering the documents offered in our university library. We then mine this ontology to find important classification rules, and then use these rules to perform an extensive analysis of the content of the largest general purpose internet search engines in use today. Instead …of representing documents and collections as a set of terms, we represent them as a set of subjects, which is a highly efficient representation, leading to a more robust representation of information and a decrease of synonymy. Show more

Keywords: Ontology, hierarchal classification, taxonomy, collection selection, search engines, data mining

Citation: Web Intelligence and Agent Systems: An international journal, vol. 5, no. 3, pp. 233-253, 2007

Authors: Zhang, Zili | Zhang, Chengqi

Article Type: Research Article

Abstract: Many complex problems (e.g., financial investment planning, foreign exchange trading, data mining from large/multiple databases) require hybrid intelligent systems that integrate many intelligent techniques (e.g., fuzzy logic, neural networks, and genetic algorithms). However, hybrid intelligent systems are difficult to develop because they have a large number of parts or components that have many interactions. On the other hand, agents offer a new and often more appropriate route to the development of complex systems, …especially in open and dynamic environments. Thus, this paper discusses the development of an agent-based hybrid intelligent system for financial investment planning, in which a great number of heterogeneous computing techniques/packages are easily integrated into a unifying agent framework. This shows that agent technology can indeed facilitate the development of hybrid intelligent systems. Show more

Keywords: Multi-agent systems, intelligent agents, agent-based systems, hybrid intelligent systems, financial investment planning

Citation: Web Intelligence and Agent Systems: An international journal, vol. 5, no. 3, pp. 255-271, 2007

Authors: De Meo, Pasquale | Quattrone, Giovanni | Terracina, Giorgio | Ursino, Domenico

Article Type: Research Article

Abstract: This paper aims at studying the utilization of Intelligent Agents for supporting citizens to access e-government services. For this purpose, it proposes a multi-agent system capable of suggesting to the citizens the most interesting services for them; these suggestions are determined by considering both their needs/preferences and the capabilities of the devices used by them. The paper first describes the proposed system and, then, reports various experimental results. Finally, it presents a comparison between the proposed …system and other related ones already presented in the literature. Show more

Keywords: Multi-agent systems, e-government, user profiling, device adaptivity, recommender systems

Citation: Web Intelligence and Agent Systems: An international journal, vol. 5, no. 3, pp. 273-310, 2007

Authors: Hoeber, Orland | Yang, Xue Dong | Yao, Yiyu

Article Type: Research Article

Abstract: It has been well documented that Web searchers have difficulties crafting queries to fulfill their information needs. The VisiQ system uses a concept knowledge base produced using the ACM Computing Classification System to generate a query space that represents the query terms in relation to the concepts they describe and the terms that are related to these concepts. A visual representation of this query space allows the users to interpret the relationships between their query terms …and the query space. Interactive query refinement within this visual representation takes advantage of users' visual information processing abilities, allowing them to choose terms that accurately represent their information needs. A preview of the search results from Google provides the users with an indication of the current state of their query refinement process. VisiQ allows the users to take an active role in the information retrieval process, supporting the fundamental shift from information retrieval systems to information retrieval support systems. Show more

Keywords: Interactive query refinement, query space, information visualization

Citation: Web Intelligence and Agent Systems: An international journal, vol. 5, no. 3, pp. 311-329, 2007

Authors: Ueda, Hiroaki | Naraki, Takeshi | Hanada, Naoki | Kimoto, Hideaki | Takahashi, Kenichi | Miyahara, Tetsuhiro

Article Type: Research Article

Abstract: We present a method to acquire rules for agent behavior, where continuous numeric percepts are classified into categories by fuzzy ART and fuzzy Q-learning is employed to acquire rules. To make fuzzy ART be fit for fuzzy Q-learning, we modify fuzzy ART such that it selects multiple categories for a percept vector and calculate their fitness values. For efficient learning, we also implement category integration that integrates two categories into one in order to reduce the …number of categories. Moreover, we modify the choice function to be fit for our modified fuzzy ART and also modify the timing of category integration for efficient learning. Experimental results show that our method acquires good rules for agent behavior more efficiently than Q-learning with fuzzy ART. Show more

Keywords: Fuzzy ART, fuzzy Q-learning, categorization, agent systems

Citation: Web Intelligence and Agent Systems: An international journal, vol. 5, no. 3, pp. 331-341, 2007

Authors: Cheung, William K. | Sun, Yuxiang

Article Type: Research Article

Abstract: The Web is transforming from a merely information dissemination platform towards a distributed knowledge-based platform for supporting complex problem solving. However, the existing Web contains a large amount of knowledge which is only tagged using layout related markups, making them hard to be discovered and used. In this paper, we purpose to model semantic-rich and self-contained knowledge units embedded in a web site as a mixture of bipartite sub-graphs and to extract the subgraphs as the …web site abstraction via hyperlink structure and file hierarchy analysis. A recursive algorithm, named ReHITS, is derived which can identify bipartite sub-graphs with a hierarchical organization. Each identified sub-graph contains a set of associated authorities and hubs as its summarized semantic description. The effectiveness of the algorithm has been evaluated using three real web sites (containing ∼ 10000 web pages) with promising results. Detailed interpretation of the experimental results and qualitative comparison with other related work are also included. Show more

Keywords: Web structure mining, web site abstraction, HITS algorithm, knowledge discovery

Citation: Web Intelligence and Agent Systems: An international journal, vol. 5, no. 3, pp. 343-355, 2007