Sheng-Yuan Yang

Ontology-supported FAQ processing and ranking techniques

This paper describes an FAQ system on the Personal Computer (PC) domain, which employs ontology as the key technique to pre-process FAQs and process user query. It is also equipped with an enhanced ranking technique to present retrieved, query-relevant results. Basically, the system bases on the wrapper technique to help clean, retrieve, and transform FAQ information collected from a heterogeneous environment and stores it in an ontological database. During retrieval of FAQs, the system trims irrelevant query keywords, employs either full keywords match or partial keywords match to retrieve FAQs, and removes conflicting FAQs before turning the final results to the user. Ontology plays the key role in all the above activities. To produce a more effective presentation of the search results, the system employs an enhanced ranking technique, which includes Appearance Probability, Satisfaction Value, Compatibility Value, and Statistic Similarity Value as four measures properly weighted to rank the FAQs. Our experiments show the system does improve precision rate and produces better ranking results. The proposed FAQ system manifests the following interesting features. First, the ontology-supported FAQ extraction from webpages can clean FAQ information by removing redundant data, restore missing data, and resolve inconsistent data. Second, the FAQs are stored in an ontology-directed internal format, which supports semantics-constrained retrieval of FAQs. Third, the ontology-supported natural language processing of user query helps pinpoint user’s intent. Finally, the partial keywords match-based ranking method helps present user-most-wanted, conflict-free FAQ solutions for the user.

An active and intelligent network management system with ontology-based and multi-agent techniques

This paper presents a system to collect information through the cooperation of intelligent agent software, in addition to providing warnings after analysis to monitor and predict some possible error indications among controlled objects in the network. This technique derived from the ontology combining Ethereal and Cacti, which store the operating information of network management perfectly into the backend database. The system could sketch the four main components of network management systems with the technique of graphic monitoring multi-agent: an Interface Agent, a Proxy Agent, a Monitoring Agent, and a Search Agent. This architecture can effectively enhance and improve the network monitoring performance to be an active and intelligent network management system. It can present related quantification figures of dynamic information through graphic network monitoring system to provide fast, convenient, and profound network solutions to the users. The experimental outcomes proved that the techniques could not only precisely recognize error alarms but also indeed reduce the recovery time to 61% of traditional processing time for network troubleshooting.

Developing of an ontological interface agent with template-based linguistic processing technique for FAQ services

This paper proposes an ontological Interface agent which works as an assistant between the users and FAQ systems. We integrated several interesting techniques including domain ontology, user modeling, and template-based linguistic processing to effectively tackle the problems associated with traditional FAQ retrieval systems. Specifically, we address the following issues. Firstly, how can an interface agent learn a users specialty in order to build a proper user model for him/her? Secondly, how can domain ontology help in establishing user models, analyzing user query, and assisting and guiding interface usage? Finally, how can the intention and focus of a user be correctly extracted? Our work features an template-based linguistic processing technique for developing ontological interface agents; a nature language query mode, along with an improved keyword-based query mode; and an assistance and guidance for human-machine interaction. Our preliminary experimentation demonstrates that user intention and focus of up to eighty percent of the user queries can be correctly understood by the system, and accordingly provides the query solutions with higher user satisfaction.

An ontological website models-supported search agent for web services

In this paper, we advocate the use of ontology-supported website models to provide a semantic level solution for a search engine so that it can provide fast, precise and stable search results with a high degree of user satisfaction. A website model contains a website profile along with a set of webpage profiles. The former remembers the basic information of a website, while the latter contains the basic information, statistics information, and ontology information about each webpage stored in the website. Based on the concept, we have developed a Search Agent which manifests the following interesting features: (1) Ontology-supported construction of website models, by which we can attribute correct domain semantics into the Web resources collected in the website models. One important technique used here is ontology-supported classification (OntoClassifier). Our experiments show that the OntoClassifier performs very well in obtaining accurate and stable webpages classification to support correct annotation of domain semantics. (2) Website models-supported Website model expansion, by which we can collect Web resources based on both user interests and domain specificity. The core technique here is a Focused Crawler which employs progressive strategies to do user query-driven webpage expansion, autonomous website expansion, and query results exploitation to effectively expand the website models. (3) Website models-supported Webpage Retrieval, by which we can leverage the power of ontology features as a fast index structure to locate most-needed webpages for the user.

Developing an energy-saving and case-based reasoning information agent with Web service and ontology techniques

Web service and ontology techniques are presented herein for supporting an energy-saving and case-based reasoning information agent. The proposed system is the first energy-saving and case-based reasoning information agent with Web service and ontology techniques in a cloud environment; the proposed architecture is also the first multi-agent structure of an energy-saving information system in a practical environment. Not only can it explore related technologies to establish a Web service platform, but it can also study how to construct cloud interactive diagrams to employ Web service techniques for extensively and seamlessly integrating energy-saving and a case-based reasoning information agent on the Internet. The complete in depth system development, display, and corresponding experiments and comparisons show that the research results not only attest to the feasibility of the proposed architecture, but are also highly successful; on average, 40% of the data queries can be answered by the proposed system, and its rate of correct data solutions is around 85.1%, leaving about 60% of the queries for the backend system to take care of, which can effectively alleviate the overloading problem usually associated with a backend server. Finally, the system is put into a practical environment; after 8 months of experiments, the total energy-saving is 22.44%.

An ontology-supported ubiquitous interface agent for cloud computing — Example on Bluetooth wireless technique with Java programming

This paper focused on designing of a ubiquitous interface agent based on the ontology technology and interaction diagram with the backend information agent system, i.e., OntoIAS, in cloud computing environments. Through the techniques of packet decoding and recognizing, the agent employs the CURRL to transform user commands into internal canonical format to conveniently process those commands by OntoIAS, which can avoid numerous, jumbled, and incorrect information torrents that results in misunderstanding of the information intention of users. In this paper, we preliminarily proposed a ubiquitous interface agent with the Bluetooth wireless technique and related interaction diagrams in cloud computing environments. The system prototype and experiment outcomes can also reveal the feasibility of the system architecture.

Developing an ontology-supported information integration and recommendation system for scholars

With the growing popularity of Internet technology, information is increasing in a geometric-progressively manner. How to find advantage information to meet user queries in the information torrent of Internet has become the first goal of lots of scholars. This paper focused on developing an ontology-supported information integration and recommendation system for scholars. Not only can it rapidly integrate specific domain documents, but also it can extract important information from them by information integration and recommendation ranking. The core technologies adopted in this study included: ontology-supported webpage crawler, webpage classifier, information extractor, information recommender, and a user integration interface. The preliminary experiment outcomes proved both the webpage crawler and classifier in the core technology can achieve an excellent precision rate of webpage treatment and the reliability and validation measurements of the whole system performance can also achieve the high-level outcomes of information recommendation. Further, this paper also discussed and examined the advantages and shortcomings of the construction of a recommendation system with different approaches and accordingly provided the design philosophy of customized services for recommendation systems.

A novel cloud information agent system with Web service techniques: Example of an energy-saving multi-agent system

This study designed and developed a novel cloud information agent system with Web service techniques. This paper not only explores related technologies for establishing Web service platforms, but also investigates the construction of cloud interactive diagrams using the extremely efficient operating methods towards extensively and seamlessly integrating backend information agent systems in the context of the Internet. Specifically, this paper provides an example of an energy-saving multi-agent system, and produces results regarding the completeness and feasibility of the proposed architecture. This is aimed at building related information agent mechanisms to support energy-saving information processing and decision-making in order to focus on a system design of succinctness, cooperation, modularizing, and easy maintenance, with emphasis on computing power with many Web service techniques. The deep and complete system development, display, and corresponding experiments and comparisons show that the research results are highly successful.

An ontological Proxy Agent with prediction, CBR, and RBR techniques for fast query processing

This paper proposed a three-tier Proxy Agent working as a mediator between the users and the backend process of a FAQ system. The first tier makes use of an improved sequential patterns mining technique to propose effective query prediction and cache services. The second tier employs an ontology-supported case-based reasoning technique to propose adapted query solutions and tune itself by retaining and updating highly-satisfied cases identified by the user. Finally, the third tier utilizes an ontology-supported rule-based reasoning to generate possible solutions for the user. Our experiments show around 79.1% of the user queries can be answered by Proxy Agent, leaving about 20.9% of the queries for the backend Answerer Agent to take care, which can effectively alleviate the overloading problem usually associated with a backend server.

OntoPortal: An ontology-supported portal architecture with linguistically enhanced and focused crawler technologies

Abstract This paper proposed the techniques of ontology and linguistics to develop a fully-automatic annotation technique, coupling with an automatic ontology construction method, could play a key role in the development of Semantic Portals. An ontology-supported portal architecture: OntoPortal was proposed according to this technique, in which three internal components Portal Interface, Semantic Portal, and OntoCrawler was integrated to rapidly and precisely collect information on Internet and capture true user’s intention and accordingly provide high-quality query answers to meet the user requests. This paper also demonstrated the OntoPortal prototype which defined how a semantic portal is interacting with the user by providing five different types of interaction patterns such as including keyword search, synonym search, POS (Part-of-Speech)-constrained keyword search, natural language query, and semantic index search. The preliminary experiment outcomes proved the technology proposed in this paper to be able to really up-rise the precision and recall rates of webpage searching and accordingly showed that it can indeed retrieve better semantic-directed information to meet user requests.