Susumu Akamine

WISDOM: A Web Information Credibility Analysis Systematic

We demonstrate an information credibility analysis system called WISDOM. The purpose of WISDOM is to evaluate the credibility of information available on the Web from multiple viewpoints. WISDOM considers the following to be the source of information credibility: information contents, information senders, and information appearances. We aim at analyzing and organizing these measures on the basis of semantics-oriented natural language processing (NLP) techniques.

Evaluation data and prototype system WISDOM for information credibility analysis

Purpose – The purpose of this paper is to describe evaluation data and a prototype system named WISDOM used for analyzing information credibility based on natural language processing.Design/methodology/approach – The authors started the Information Credibility Criteria project in April, 2007, mainly to analyze the credibility of information (text) on the web. The project proposes to capture information credibility based on four criteria (content, sender, appearance, and social valuation) and aims to analyze and organize them logically using natural language processing based on predicate argument structure.Findings – The evaluation data described in this paper were developed as learning and verifying data for these various analysis modules and are composed of manually‐annotated data based on each evaluation criteria about several pre‐selected topics such as current events and medical issues. The prototype system WISDOM was developed to provide information credibility from different perspectives.Orginality/...

Organizing information on the Web to support user judgments on information credibility

A vast amount of information and knowledge has been accumulated and circulated on the Web. They provide people with options regarding their daily lives and are starting to have a strong influence on governmental policies and business management. A crucial problem is that information on the Web is not necessarily credible. This paper describes an information analysis system called WISDOM, which assists users in assessing the credibility of information on the Web. WISDOM is to organize information on a given topic through the following three types of analyses: (1) extracting and contrasting opinions and important statements around the points related to the topic, (2) identifying and classifying the information sender of each page; and (3) analyzing the appearance of each page, for example, page design and writing style. Our preliminary evaluation indicates the effectiveness of WISDOM and its advantage to Google from the viewpoint of the ability of grasping the difference of information senders and opinions.

Web information analysis for open-domain decision support: system design and user evaluation

In this paper, we investigate the effectiveness of the system design of a Web information analysis for open-domain decision support. In order to make decisions, it is required to collect and compare information from various view points. In case of making decisions based on Web information, however, it is difficult to obtain diverse information from variety of sources by using current search engines. Based on this observation, we design a system for supporting open-domain decision making, which analyzes Web information. Among the major design decisions are to focus on two elements, i.e. identifying the source of information and the extraction of informative content, and to organize the two elements so that the user can quickly grasp who is saying what on the Web. The assumption behind such decisions is that information organized in such a way would facilitate proper judgments in the users decision making process. We conduct users evaluation to verify the effectiveness of our approach. In the result, it is confirmed that our system is superior to current search engine for grasping organized information from different stance of senders and supports the process of decision making, by (i) uncovering biases, (ii) showing various opinions from multiple view points, (iii) revealing information sources.

Development of a large-scale web crawler and search engine infrastructure

This paper reports the ongoing development of a large-scale Web crawler and search engine infrastructure at National Institute of Information and Communications Technology. This infrastructure has the following characteristics: (1) It collects one billion Japanese Web pages while keeping them up-to-date. (2) It selects 100 million pages from among the collected pages and converts them into a standard data format to store the results of morphological analysis, dependency parsing, and synonym augmentation. (3) The selected set of pages is searchable and accessible to the users. (4) The scalability of the system is achieved by using a large-scale cluster machine for distributed data processing.

Information Credibility Analysis of Web Contents

As computers and computer networks become more sophisticated, a vast amount of information and knowledge has been accumulated and circulated on the Web. They provide people with options regarding their daily lives and are starting to have a strong influence on governmental policies and business management. However, a crucial problem is that information on the Web is not necessarily credible. It is actually very difficult for human beings to judge information credibility and even more difficult for computers. However, computers can be used to develop a system that collects, organizes and relativises information and helps human beings view information from several viewpoints and judge information credibility. This paper introduces the information credibility criteria project at the National Institute of Information and Communications Technology, which aims to develop such a system, called WISDOM.

Using Appearance Information for Web Information Credibility Analysis

We have been developing a Web information analysis system named WISDOM, which supports human judgment of information credibility by analyzing Web pages based on various criteria such as the sender, content, and appearance. This paper describes use of appearance information on WISDOM. Appearance information means document style and superficial characteristic, such as page layout, sentential style, the number of advertisement, and whether or not there is contract address. We use appearance information for not only Web information credibility analysis but also Web page classification. This paper also reports the extraction method of appearance information, implementation on WISDOM, and results of preliminary experiment.

Spoken Dialog System for Next Generation Knowledge Access

This paper described our development dialog system on Kyoto tourist information assistance. Dialog part of our system helped user to make an appropriate query. Information analysis part would be assisted for user to select the retrieved information. Nowadays we can get most information through the Internet. However, we have a trouble to pick up expected information from the huge results with conventional search engines. Especially in mobile terminal, we are confronted with great difficulties for two factors. One is that most of users cannot make an appropriate query because their request is vague with theirselves. The other is that the retrieved information has huge variation and mobile terminal has small area for displaying them. Therefore, we aim to develop technologies for the users to input their requests by familiar way and clarify what they want to know with displaying the retrieved information with suitable method.

WISDOM: A web information analysis system

We present an information analysis system, WISDOM (Web Information Sensibly and Discreetly Ordered and Marshaled), which assists users in assessing the credibility of information on the Web from multiple viewpoints. A vast amount of information is now accumulated on the Web and becoming increasingly influential in peoples decision making. However, the Web contains a proliferation of false and misleading information. Thus, it is essential to study the methodologies and technologies that enable us to judge the credibility of information. It is for this reason that we have developed WISDOM, which organizes information on a given topic through the following three types of analysis: (1) extracting and contrasting important and controversial sentences around the points related to the topic, using semantics-oriented natural language processing (NLP) techniques; (2) identifying and classifying the authorship of each page; and (3) analyzing the appearance of each page, according to, for example, page design and writing style. WISDOM is in a state of continuous development, and in comparison to our previous demonstration at IUCS 2009, the current version of WISDOM is more advanced in the following respects. First, it extracts contrasting statements, in which statements contrasting the topic to other things, e.g., electric vehicles vs. hybrid electric vehicles. Second, it analyzes the expertise of information senders and indicates senders with high expertise with stars. Third, WISDOM analyzes a fresh 120 million Japanese Web pages; these pages are crawled and updated everyday by our crawler. WISDOM is available at http://wisdom-nict.go.jp/.