Engaging And Applying New Communication Technology: A Case Study Of The Usage Of Internet As A Search Practice Among Bernama Journalists

Given the scenario of change within the journalism profession vis-à-vis new communication technology, how does the Malaysian journalism industry cope and adapt to this change? More specifically (i) how do Malaysian journalists find information on the Internet and what are their favourite search engines for information/news gathering? (ii) What are the characteristics of the Internet that influence journalists’ search practices? (iii) What is the attitude of journalists towards Internet usage in their day-to-day work and what are the perceived successes and failures of the Internet as a source of information? (iv) What is the level of knowledge they possess in terms of technology, in general, and the Internet in particular? This article attempts at finding answers to the above questions in an effort to examine the impact of new media, the Internet in particular, from the standpoint of the diffusion of Internet usage among journalists, especially with their preference for search engines, search practices, search tools, websites and web-based technologies

Structured querying of annotation-rich web text with shallow semantics

Abstract Information discovery on the Web has so far been dominated by keyword-based document search. However, recent years have witnessed arising needs from Web users to search for named entities, e.g., finding all Silicon Valley companies. With existing Web search engines, users have to digest returned Web pages by themselves to find the answers. Entity search has been introduced as a solution to this problem. However, existing entity search systems are limited in their capability to address complex information needs that involve multiple entities and their interrelationships. In this report, we introduce a novel entity-centric structured querying mechanism called Shallow Semantic Query (SSQ) to overcome this limitation. We cover two key technical issues with regard to SSQ, ranking and query processing. Comprehensive experiments show that (1) our ranking model beats state-of-the-art entity ranking methods; (2) the proposed query processing algorithm based on our new Entity-Centric Index is more efficient than a baseline extended from existing entity search systems

Proposed an Optimal Search Algorithm to Find the Best Answer in a Question Answering Systems

QA systems extract answers in natural language question from a large set of documents. In this paper, we will design and implement Restricted Domain QA System based on a knowledge database. In this system we will use a genetic algorithm and optimal-genetic algorithm to search in the knowledge base for finding the answers. Web pages are sources of knowledge system. To validate the proposed approach, we will implement these algorithms; results indicate a significant increase in accuracy of the proposed system compare to previous systems

From Pre-Defined Topics to Research Questions: An Inquiry-Based Approach to Knowledge

In this interactive presentation, MSU librarians will replicate a library instruction session for first-year students. Audience members will participate in a Cephalonian Method icebreaker activity and use clickers to demonstrate the different ways both techniques can be used in the classroom. Participants will view a short (3-4 min.) video, develop critical questions, and construct keywords to begin finding answers. Instruction librarians will show how the answers are the basis of their thesis statements. Next, audience members will be divided into groups and directed to find information on the Web, the route a first-year student would naturally take. Then, groups will search for background information, scholarly articles, books, viewpoint essays, and general Web resources. A discussion will evolve about the myriad of limitations with using Web resources and the benefits of using parallel library resources such as online specialty encyclopedias, journal indexes, signed viewpoint articles, and the library catalog. Then instruction librarians will fully explore the benefits of using library resources to help students find authoritative, credible, and relevant sources in the academic library. The session ends with discussing what was discovered during the presentation, showing the customized course guide where all the library resources are organized, and giving a final clicker quiz to assess what was learned and what may still be unclear. Take away valuable tips and techniques from this session to use for your own information literacy instruction sessions

How Question Answering Technology Helps to Locate Malevolent Online Content

The inherent lack of control over the Internet content resulted in proliferation of online material that can be potentially detrimental. For example, the infamous “Anarchist Cookbook” teaching how to make weapons, home made bombs, and poisons, keeps re-appearing in various places. Some websites teach how to break into computer networks to steal passwords and credit card information. Law enforcement, security experts, and public watchdogs started to locate, monitor, and act when such malevolent content surfaces on the Internet. Since the resources of law enforcement are limited, it may take some time before potentially malevolent content is located, enough for it to disseminate and cause harm. Currently applied approach for searching the content of the Internet, available for law enforcement and public watchdogs is by using a search engine, such as Google, AOL, MSN, etc. We have suggested and empirically evaluated an alternative technology (called automated question answering or QA) capable of locating potentially malevolent online content. We have implemented a proof-of-concept prototype that is capable of finding web pages that may potentially contain the answers to specified questions (e.g. “How to steal a password?”). Using students as subjects in a controlled experiment, we have empirically established that our QA prototype finds web pages that are more likely to provide answers to given questions than simple keyword search using Google. This suggests that QA technology can be a good replacement or an addition to the traditional keyword searching for the task of locating malevolent online content and, possibly, for a more general task of interactive online information exploration

OBDI System for Fuzzy Web Data Table Integration Using an Ontological and Terminological Resource

When finding new product innovations or filling new patents, inventors have necessary to retrieve all the relevant pre-existing know-how or to exploit and enforce patents in the technological area. Since the OTR is at the important and heart of Semantic Ontology system, this team works on the ontology construction and evolution. Author present system architecture relies on an Ontological and the Terminological Resource (OTR) which is made up of two parts: on the one end, a generic set of concepts dedicated to data integration task, on the other hand, a specific set of concepts and terminology, to a given domain of application. The important objective of the semantic annotation method here is to identify which relations of OTR are represented in data table that simple concepts are called in the given simple target concepts. In order to annotate a column by a simple target concept, a score is computed for each of the simple target concept of the OTR, on a generic OTR expressed in OWL. Here the system allows XML data tables that have been taken from Web documents, to be annotated with fuzzy RDF descriptions and to be flexibly Ontology search engine. Ontology search engine allows for retrieve not only to exact answers compared with selection criteria but also semantically close answers and compare the this selection criteria expressed as fuzzy sets representing preferences with fuzzy annotations of data. DOI: 10.17762/ijritcc2321-8169.15072

日英語比較 : ウェブ検索に関して

On the Internet, a flood of information is provided, so Internet users need to find necessary information. In addition, the skill of understanding English information is essential because English is the prominent language on the Internet. However, Japanese have pointed out that they don\u27t have the skills for finding information in English on the internet. In this thesis, I consider the skills which EFL students need to do Web search in the same way as English native speakers. In this thesis, I did two types of research. First, I examined some differences in the process of information-seeking in English by asking five questions to Japanese undergraduate EFL students and English native speakers. Second, I examined the difference between the way the Japanese students seek in English as opposed to when they search in Japanese. In addition, I contrasted the ways Japanese and English seek information in their mother tongue. The subjects were six Japanese undergraduate EFL students and five native English speakers. The subjects were asked to find the answers to five questions by searching the web, and I compared the subjects in the time taken, answers given, search keywords and the process of the web search. The results show that Japanese EFL students\u27 accuracy in their English was about the same as English native speakers, and they were able to find almost the same percentage of correct answers in both languages. Moreover, I could not find any differences in the process of web search between English native speakers and EFL students. However Japanese EFL students needed about 3 to 9 times longer than English native speakers, and about 1.5 to 2 times longer than they needed when searching in their mother tongue. In some questions, they tended to give up early when they searched for information in their mother tongue. Additionally, I found some differences in the keywords used. When they search information in their mother tongue they changed keywords into their broad terms, narrow terms and synonyms, or words into segments or sentences. According to this study, I believe that the skills of skimming and information scanning, and vocabulary could help to improve the skills of searching and understanding English information