Earticle

This paper empirically examines factors that potentially influence the success of a Web-based semantic search engine. A research model has been proposed that shows the impact of quality-related factors upon the effectiveness of a semantic search engine, based on DeLone and McLean’s(2003) information systems success model. An empirical study has been conducted to test hypotheses formulated around the research model, and statistical methods were applied to analyze gathered data and draw conclusions. Implications for academics and practitioners are offered based on the findings of the study.The proposed model includes three quality dimensions of a Web-based semantic search engine-namely, information quality, system quality and service quality. These three dimensions each have measures designed to collectively assess the respective dimension. The model is intended to examine the relationship between measures of these quality dimensions and measures of two dependent constructs, including individuals’ net benefit and user satisfaction. Individuals’ net benefit was measured by the extent to which the user’s information needs were adequately met, whereas user satisfaction was measured by a combination of the perceived satisfaction with search results and the perceived satisfaction with the overall system. A total of 23 hypotheses have been formulated around the model, and a questionnaire survey has been conducted using a functional semantic search website created by KT and Hakia, so as to collect data to validate the model. Copies of a questionnaire form were handed out in person to 160 research associates and employees working in the area of designing and developing semantic search engines. Those who received the form, 148 respondents returned valid responses. The survey form asked respondents to use the given website to answer questions concerning the system.The results of the empirical study have indicated that, of the three quality dimensions, information quality was found to have the strongest association with the effectiveness of a Web-based semantic search engine. This finding is consistent with the observation in the literature that the aspects of the information quality should serve as a basis for evaluating the search outcomes from a semantic search engine. Measures under the information quality dimension that have a positive effect on informational gratification and user sat-isfaction were found to be recall and currency. Under the system quality dimension, response time and interactivity, were positively related to informational gratification. On the other hand, only one measure under the service quality dimension, reliability was found to have a positive relationship with user satisfaction. The results were based on the seven hypotheses that have been accepted. One may wonder why 15 out of the 23 hypotheses have been rejected and question the theoretical soundness of the model. However, the correlations between independent variables and dependent variables came out to be fairly high. This suggests that the structural equation model yielded results inconsistent with those of coefficient analysis, because the structural equation model intends to examine the relationship among independent variables as well as the relationship between independent variables and dependent variables. The findings offer some useful implications for owners of a semantic search engine, as far as the design and maintenance of the website is concerned. First, the system should be designed to respond to the user's query as fast as possible. Also it should be designed to support the search process by recommending, revising, and choosing a search query, so as to maximize users’ interactions with the system. Second, the system should present search results with maximum recall and currency to effectively meet the users’ expectations. Third, it should be capable of providing online services in a reliable and trustworthy manner. Finally, effective increase in user satisfaction requires the improvement of quality factors associated with a semantic search engine, which would in turn help increase the informational gratification for users.The proposed model can serve as a useful framework for measuring the success of a Web-based semantic search engine. Applying the search engine success framework to the measurement of search engine effective-ness has the potential to provide an outline of what areas of a semantic search engine needs improvement, in order to better meet information needs of users. Further research will be needed to make this idea a reality.

본 연구는 플랫폼 유형(검색엔진 vs. 커머스)에 따라 소비자의 검색 행동과 검색광고 효과가 어떻게 달라지는지 검증하였다. 검색광고 관련 많은 선행 연구들은 주로 키워드 속성이나 위치를 중심으로 광고 효과가 어떻게 달라지는지 초점을 맞춰왔다. 반면, 본 연구는 소비자 구매여정의 관점에서 플랫폼 맥락이 검색어 유형과 구체성 수준에 미치는 영향에 대해 살펴봤다. 연구 결과, 먼저 플랫폼 유형에 따라 사용되는 검색어 성격이 다르게 나타났다. 구체적으로, 검색엔진에서는 브랜드 중심의 검색어 비중이 높았고 커머스에서는 범주 중심의 검색어 비중이 높게나타났다. 둘째, 광고 효과 측면에서 커머스는 검색엔진보다 클릭률과 전환율이 높았으나, 전환당 비용 역시 유의하게 높은 것으로 확인되었다. 셋째, 플랫폼 유형과 검색어 구체성 수준간 상호작용 효과가 일부 확인되었다. 커머스에서는 검색어가 구체적일수록 클릭률과 전환율이 상승했으며 검색엔진에서는 구체성 수준에 따른 성과 차이가 뚜렷하게 나타나지 않았다. 이러한 결과는 검색광고의 효과가 단순히 검색어 자체만의 속성을 넘어, 플랫폼 환경에 따라 달라질 수 있음을 보여준다.

This study empirically examines how consumers’ search behavior and search advertising effectiveness differ across platform types, namely search engines and commerce platforms. Prior research has largely focused on keyword attributes or ad position as determinants of performance, whereas this study, drawing on the consumer decision journey perspective, examines how platform context shapes keyword type and specificity. The results show that brand-oriented keywords are more prevalent on search engines, while category-oriented keywords are more common on commerce platforms. In addition, commerce platforms generate higher click-through and conversion rates than search engines, but also incur higher cost per acquisition, suggesting a trade-off between performance and cost efficiency. Finally, the effect of keyword specificity differs by platform. On commerce platforms, more specific keywords are associated with higher click-through and conversion rates, whereas on search engines, these differences are not statistically significant. Overall, the findings suggest that search advertising effectiveness depends not only on keyword characteristics but also on the platform environment in which search occurs.

본 연구에서는 많은 중소상공인이 빠르게 도입하고 있지만, 그 동안 선행 연구에서 논의되지 않았던 지역 검색 서비스의 도입과 활용에 따른 마케팅 효과를 살펴보고자 한다. 구체적 으로 국내 외식업체의 지역 검색 서비스 관련 데이터를 사용하여 지역 검색 서비스의 효과를 실 증적으로 분석하고자 한다. 분석 결과, 지역 검색 서비스의 도입과 활용은 업체에 대한 소비자의 관심과 방문에 관한 클릭을 증가시켰으며, 이는 지역 검색 서비스가 중소상공인의 마케팅 성과 에 긍정적인 영향을 미쳤음을 의미한다. 특히 인지도가 높은 업체보다 인지도가 낮은 업체의 성 과가 크게 증가했는데, 이는 지역 검색 서비스가 인지도가 낮은 업체에게 더 큰 도움이 된다는 것을 의미한다. 본 연구의 결과는 지역 검색 서비스의 도입과 활용이 지역 기반 중소상공인 업체 들의 마케팅 성과 향상으로 이어질 수 있음을 실증적으로 제시함으로써, 지역 검색 및 중소상공 인 디지털 전환의 중요성을 강조할 수 있다. 둘째, 지역 검색 서비스는 중소상공인들의 상대적으 로 낮은 업체 인지도를 보완하여 긍정적인 마케팅 성과를 창출할 수 있음을 시사한다.

This paper aims to investigate a local search service offered by search engines such as Google and Naver and its impact on marketing performance of small and medium-sized businesses in local markets. While the local search service has widely been adopted by many firms including small and medium-sized local businesses, how it influences the businesses that adopt the service is not yet well understood. Using local search data on restaurants in Korea, this paper provides evidence on the positive impact of a local search service. Specifically, our results show that the utilization of local search service enhances marketing performance of small and medium-sized businesses, and that the benefit of local search service is greater for firms with a smaller number of customer reviews than those with higher number of customer reviews. Overall, the results of our study emphasizes the importance of local search service, as an effective marketing tool.

본 논문에서는 서로 다른 항목의 정보를 담고 있는 다종다형자료의 메타 정보를 하나의 시스템에서 통합하여 검색 및 관리할 수 있으며, 관리되고 있는 메타 데이터에서 사용자가 필요한 검색 항목을 자유롭게 정의할 수 있는 사용자 인터페이스를 제공할 수 있는 시스템에 대해 연구하였다. 본 시스템의 특징은 다종다형 메타정보 관리가 가능하며 다양한 시스템 간 손쉬운 통합을 지원할 수 있는 데이터베이스 통합 버스, 다종다형 자료들의 사용자별 맞춤 서비스가 가능한 사용자별 검색 항목 지정 설정이 있다. 본 논문에서 연구한 시스템은 현재 ICT 분야에서 각광받고 있는 빅데이터 관리가 가능할 것으로 판단되며 향후 다양한 분야의 다종 다형자료들을 효과적으로 관리하고 다양한 환경을 가지고 있는 시스템 간 통합을 손쉽게 수행할 수 있을 것으로 판단된다.

In this paper, we present the system that user can search and manage data using united interface and user can define search field dynamically. The feature of this system is that it is possible to manage multiple polymorphic meta information first. Second, there is a database integration bus that can support easy integration between the various systems. Third, it is possible to set the search item for each user which can customize polymorphism data for each user. The system studied in this paper is expected to be capable of managing big data, which is currently well received in the field of ICT. In addition, it will be possible to effectively manage multi-species polymorphic data in various fields in the future and to easily integrate between systems having various environments.

지식정보화 시대의 본격화와 함께 지식재산권, 그 중에서도 특허의 중요성이 더욱 커져가고 있 다. 이에 따라 효율적인 특허정보 검색방법의 필요성이 높아지고 있지만, 기존의 특허검색 엔진은 불 리언 모델을 기반으로 단어의 존재 여부만을 파악하는 방식으로 검색결과에 노이즈 데이터가 너무 많 이 포함되어 특허 검색에 오랜 시간을 허비하게 만들므로 ‘전문검색가’들이 수동으로 찾아주고 있는 실정이다. 이에 본 논문에서는 기존의 일반적 문서검색과 특허검색과의 차이점을 밝히고, 기존 특허검 색의 한계성을 분석한다. 나아가 특허검색에 특화된 효과적 방법론 제안하여 검색 키워드가 각 특허 문서 내에서 차지하는 중요도와 각 문서 내에서 키워드 사이의 관계성을 파악하고 이에 대한 랭킹을 정하여 키워드와 관계성이 높은 특허가 상위에 랭크하며 노이즈 데이터를 하위에 랭크 함으로써 검색 결과에서 노이즈 데이터의 비율을 대폭 줄이는 방법을 제안한다. 마지막으로 실험을 통하여 Kipris 검 색 결과와 비교함으로써 제안한 방법론의 우수성을 입증하였다.

With the advancement of the area of knowledge and information, Intellectual Property, especially, patents have captured attention more and more emergent. The increasing need for efficient way of patent information search has been essential, but the prevailing patent search engines have included too many noises for the results due to the Boolean models. This has occasioned too much time for the professional experts to investigate the results manually. In this paper, we reveal the differences between the conventional document search and patent search and analyze the limitations of existing patent search. Furthermore, we propose a specialized in patent search, so that the relationship between the keywords within each document and their significance within each patent document search keyword can be identified. Which in turn, the keywords and the relationships have been appointed a ranking for this patent in the upper ranks and the noise in the data sub-ranked. Therefore this approach is proposed to significantly reduce noise ratio of the data from the search results. Finally, in, we demonstrate the superiority of the proposed methodology by comparing the Kipris dataset.

As the World Wide Web (WWW) has become a major channel for information delivery, the data accumulated in the Internet increases at an incredible speed, and it derives the advances of information search technologies. It is the search engine that solves the problem of information overloading and helps people to identify relevant information. However, as search engines become a powerful tool for finding information, the opportunities of plagiarizing have increased significantly in e-Learning. In this paper, we developed an online plagiarism detection system for detecting plagiarized documents that incorporates the functions of search engines and acts in exactly the same way of plagiarizing. The plagiarism detection system uses morpheme analysis to improve the performance and sentence-based comparison to investigate document comes from multiple sources. As a result of applying this system in e-Learning, the performance of plagiarism detection was improved.

Since the World-Wide Web (WWW) has become a major channel for information delivery, information overload also has become a serious problem to the Internet users. Therefore, effective information searching is critical to the success of Internet services. We present an integrated search engine for searching relevant web pages on the WWW in a certain Internet domain. It supports a local search on the web sites. The spider obtains all of the web pages from the web sites through web links. It operates autonomously without any human supervision. We developed state transition diagram to control navigation and analyze link structure of each web site. We have implemented an integrated local search engine and it shows that a higher satisfaction is obtained. From the user evaluation, we also find that higher precision is obtained.

From the 1960s, the corpus became the resources in the field of linguistics for the practical studies. Translation studies also accepted this type of study to explain translational phenomena. Since Gideon Toury and Mona Baker proposed the application of corpus in this field, various translation corpora are used to extract translational correspondences for several studies such as translational comparison between two languages, translation education, machine translation, etc. However, a complete corpus needs a lot of time and cost. Moreover, in Korea, there is no big corpus of translation like the website Linguee. From this point of view, we can consider the search engine Google as Big Corpus. Although it is not a parallel corpus, we are able to profit translational correspondences from Google as Big corpus because it may provide quite a number of textual translation resources between Korean and other languages.

Due to fast invention of technology, people start to shift the way to require the information from using the Google, to metaverse era and currently the hype of AI era. The use of AI search engine such as ChatGPT, Gemini, Perplexity and many other new innovative technologies tools will raise concern among society. People utilize AI search engine these days because these technologies have already begun to be integrated in professional and educational environments, causing individuals to become overreliance on AI search engine. Thus, this research aims to investigate factors that lead to excessive use AI search engine. A few factors including technostress, social influence and technology compatibility have been explored to determine which variables can cause uses to use AI excessively. A quantitative approach using a survey method was employed to collect data from Malaysian respondents. Hence, this survey enables our research to identify the variables that lead Malaysian respondents to excessively rely on AI search engines.

Automated Search Engine Optimization (SEO) is crucial for streamlining processes, ensuring consistency, and adapting to changes, thereby enhancing a website's overall success and visibility in the competitive online landscape. This research introduces a dataset and a baseline method for classifying website SEO ranks into three categories. Using 26 keywords, data was collected from 780 web pages across various Google rankings, and 36 ranking factors were employed to predict their rank. Key considerations for webpage preparation include anchor text, backlinks, Ref Domain, unique visits, and text length. The Random Forest model exhibited superior performance, achieving an average accuracy of 72% in predicting actual search rankings. The significance of this automated approach lies in identifying web pages requiring SEO improvements, leading to enhanced search engine rankings.

본고는 실험 심리학 용어사전의 편찬에서 웹기반 사전 개발이 어떤 장점을 지니는지를 고찰하고, 사용자측 검색 편의성을 위한 실시간 검색 알고리즘을 제시하였다. 부가하여, 용어검색과 사전편찬에 필요한 다양한 프로그래밍 및 사용자 상호작용 기능들을 구현하는 데 있어서 자바스크립트 및 펄CGI를 어떻게 응용할 수 있는지를 보이고자 하였다. 마지막으로, 향후 웹기반 용어사전이 지속적으로 진화할 수 있는 방안을 제시하였다.

This study examined the relative merit of a web-based compilation of experimental psychology dictionary and provided algorithms for user-friendly, real-time search engine. In addition, I tried to demonstrate how the Java Script and the Perl CGI can be applied in order to enhance the user-developer interaction in the development of a web-based dictionary. Finally, I suggest several directions on how a web-based dictionary could be evolved in the future.

디지털 경제의 급속한 발전에 따라, 인터넷은 사람들의 업무와 생활에 있어 서 필수 불가결한 일부가 되었다. 온라인 플랫폼은 우리가 인터넷 정보 세계에 진입하는 창구이며, 인터넷 산업의 규모의 효과 등의 특수성으로 인하여 독점 적인 지위가 형성되기 용이하다. 본 글은 중국의 검색엔진 플랫폼 시장지배적 지위 남용에 대한 판단을 통하여, 검색엔진에 대한 반독점 규제는 반독점의 본 질로 돌아가, 각 당사자의 이익의 균형을 맞추어야 한다고 본다. 관련시장 획 정 시 공급대체관계의 변화에 중점을 두고, 지배력의 판단에서는 경쟁 주체의 시장 통제력에 주목한다. 마지막으로는 검색엔진의 시장지배적 지위 남용에 대한 규제 경로 및 중국이 향후 발전과정에서 채택 가능한 방식을 제시한다.

With the rapid development of the digital economy, our work has been inseparable from the Internet. Search engines are the gateway to the Internet world. By analyzing China’s recognition of search engine platforms abusing market dominance, this article believes that the anti-monopoly regulations of search engines should return to the principle of anti-monopoly to balance the interests of all parties. The article proposes a regulatory path for the abuse of market dominance by search engines and the methods that China can choose in the future.

随着数字经济的突飞猛进，互联网已经成为人们工作生活不可缺少的一部 分，互联网平台是我们进入网络信息世界的大门，由于互联网行业的规模效 应等特殊性极容易形成垄断地位. 通过中国对搜索引擎平台滥用市场支配地位 的认定，本文认为搜索引擎的反垄断规制应该回归反垄断的的本质对各方利 益进行平衡. 在相关市场界定中侧重供给替代关系的变化，在支配力量的断定 时关注竞争主体控制市场的能力. 文章最后提出了对搜索引擎滥用市场支配地 位的规制路径以及对中国在今后发展中可采用的方式.

디지털 경제의 급속한 발전에 따라, 인터넷은 사람들의 업무와 생활에 있어 서 필수 불가결한 일부가 되었다. 온라인 플랫폼은 우리가 인터넷 정보 세계에 진입하는 창구이며, 인터넷 산업의 규모의 효과 등의 특수성으로 인하여 독점 적인 지위가 형성되기 용이하다. 본 글은 중국의 검색엔진 플랫폼 시장지배적 지위 남용에 대한 판단을 통하여, 검색엔진에 대한 반독점 규제는 반독점의 본 질로 돌아가, 각 당사자의 이익의 균형을 맞추어야 한다고 본다. 관련시장 획 정 시 공급대체관계의 변화에 중점을 두고, 지배력의 판단에서는 경쟁 주체의 시장 통제력에 주목한다. 마지막으로는 검색엔진의 시장지배적 지위 남용에 대한 규제 경로 및 중국이 향후 발전과정에서 채택 가능한 방식을 제시한다.

With the rapid development of the digital economy, our work has been inseparable from the Internet. Search engines are the gateway to the Internet world. By analyzing China’s recognition of search engine platforms abusing market dominance, this article believes that the anti-monopoly regulations of search engines should return to the principle of anti-monopoly to balance the interests of all parties. The article proposes a regulatory path for the abuse of market dominance by search engines and the methods that China can choose in the future.

随着数字经济的突飞猛进，互联网已经成为人们工作生活不可缺少的 一部分，互联网平台是我们进入网络信息世界的大门，由于互联网行业 的规模效应等特殊性极容易形成垄断地位. 通过中国对搜索引擎平台滥 用市场支配地位的认定，本文认为搜索引擎的反垄断规制应该回归反垄 断的的本质对各方利益进行平衡. 在相关市场界定中侧重供给替代关系 的变化，在支配力量的断定时关注竞争主体控制市场的能力. 文章最后 提出了对搜索引擎滥用市场支配地位的规制路径以及对中国在今后发展 中可采用的方式.

멀티미디어 검색 시스템들은 아직까지 내용 기발에 의한 검색기술이 실용적으로 쓰일 만큼 높은 성능을 보이고 있지 않기 때문에 텍스트에 의한 검색만을 지원하고 있는 실정이다. HTML 문서에 나타나는 텍스트 중 이미지 아래에 붙은 표제나 이미지 링크에 붙어 있는 텍스트를 골라내어 이미지의 색인 정보로 이용하여 텍스트를 추출하는 기법을 제안하였다. 텍스트를 추출하기 위해 N-Gram 색인 방법을 사용하였으며 한편 검색 효율을 높이기 위해서 질의 의도가 큰 단어에 가중치를 부여하였다.

지난해 미니홈피의 원조인 싸이월드(cyworld.com)를 운영하는 SK 커뮤니케이션이 국내 열린검색의 대표 주자였던 엠파스(empas.com)을 인수하여 검색서비스를 강화하기 시작하였다. 그 이유는 검색 서비스가 현대인에게 없어서 안될 "생활필수품"으로 자리매김했기 때문일 것이다. 최근 몇 년간 인터넷 검색포털 산업의 폭발적 증가에 힘입어, 네이버, 다음, 야후, 네이트 등의 포털사이트에 규모의 경제가 작용하면서 보다 많은 서비스가 창출되기 시작하였다. 또한 데이터량의 급증으로 검색 서비스 또한 진화해 가고 있다. 하지만 이러한 사회적 관심과 중요성에도 불구하고 검색서비스의 기술적 연구이외에 서비스 가치와 고객만족에 대한 연구는 활발하게 이루어지지 않고 있다. 따라서 본 연구에서는 국내 인터넷 포털서비스의 검색엔진 서비스 품질과 서비스 가치, 고객만족간의 관계를 분석해 보았다. 그 결과 서비스 품질요인 중 정확성, 정보함유량, 사이트 이미지, 편리성이 서비스 가치에 긍정적인 영향을 미치는 것으로 나타났으며, 그 중 정확성, 사이트 이미지, 신뢰성은 고객만족에도 긍정적인 영향을 미치는 것으로 나타났다. 또한 서비스 가치가 고객만족에 긍정적인 영향을 미치는 것으로 나타났다.

Last year, SK communication CO., which manages the cyworld.com and a pioneer in the Mini-Hompy of the computer industry, started to consolidate its leading position in the search engine field of the market by mergering the empas.com which was the leader of korea web search engine syatem. Because the search engine service has become to the most important things which is necessary for people to daily life. Recently, the increase of internet search engine portal industry is so explosive that a variety of services has been made by the action of economies of scale in the search engine industries such as Naver, Daum, Yahoo, Nate etc. Also the increase in data quantity has influence on the progress of the search engine. In spite of these importance, the researchers have not conducted detailed research into service quality and customer satisfaction except for technical field. For that reason, in this study we have carried out work in the link among service quality, service value, customer satisfactions in the domestic market, As a result, accuracy of service quality, quantity of information, site image and convenience have an good effect on service value, also mong those of things the accuracy of service quality, site image, reliability have an good effect on the customer satisfactions. Futhermore, customer satisfactions have the positive impact on the service value.

This study is based on Parasuraman, Zeithaml 8l Berry［19］`s SERVQUAL measure that develop for estimation of service quality, so this study proposes the present condition of customer service and improvement method on internet search engine. This study also develops a questionnaire for analyzing customer satisfaction considering the present condition of internet service. We're going to analyze the customer service quality that classified by search engines, service quality with university students who use usually internet.

본 연구는 관여도가 상대적으로 낮은 기능적 가치를 추구하는 제품의 검색광고를 평가할 때, 제품 이미지의 위치와 판매단위유형 간의 일치성에 따라 광고효과가 달라질 수 있다고 보았다. 이에 본 연구의 목적은 제품검색광고에 나타나는 제품 이미지의 위치(왼쪽 vs. 오른쪽)와 판매단위(낱개 vs. 묶음)가 광고태도, 브랜드태도, 그리고 구매의향에 미치는 영향을 탐색하는데 있다. 연구가설을 검증하기 위해 144명의 참가자를 대상으로 2x2 요인설계로 실험을 진행하 였는데 독립 변인으로서 제품검색광고 내 제품 이미지의 위치, 제품 판매단위 두 가지 변인을 설정하였고, 종속변인으로 광고태도, 브랜드 태도, 구매의향을 측정하였다. 본 연구 결과는 제품 이미지의 위치와 판매단위의 상호작용 효과가 브 랜드 태도, 구매의향에 미치는 것으로 나타났는데 묶음 단위의 제품 광고에서 오른쪽에 제품 이미지가 위치할 때 브랜드 태도와 구매의향이 높아졌다. 본 논문의 결과를 기반으로 학문적 시사점과 향후 쇼핑 플랫폼, 온라인 스토어 등에 관심 있는 실무자에게 유용한 시사점을 제공하여 후속연구에 대한 방향성을 제시하고 있다.

Product image location in search engine advertising plays an important role in consumer perception when the product is relatively low involved and has functional value. The purpose of this research is to investigate the interaction effects of product image location and product type on advertising effectiveness. Building on the literature of location effects, we show that for products for which heaviness is considered a positive attribute, product image placed on the right are preferred. To test hypotheses, a 2(product image location: left vs. right) x 2(product type: single vs. bundle) experiment is conducted and a total of 144 paricipants took part in the experiment. The results revealed that respondents show higher brand attitude and purchse intention toward a bundle product’s advertising with product image place on the right. The results provide implications and suggestions for improving search engine advertising and marketing strategies.

The World Wide Web (WWW) comprises enormous websites located around the world, and it is the cheapest source to publish information that instantly becomes accessible across the globe. The information available on the Internet is invariably increasing on the daily basis, which in turn is resulting in serious challenges for the researchers to retrieve the relevant information from huge bulk of data. The precious time of researchers and scientists goes wasted as they have to sift through massive amount of irrelevant and unnecessary material returned by the conventional search engines. Due to this fact, the task of searching focused and relevant material has become a tedious activity in the information retrieval process over the Internet. This very unfocused and nonspecific type of the Internet surfing often results in overlooking the important contents due to monotonous and sloppy structure of the retrieved information, in addition to the tiresomeness and grimness it causes to the end user. In this paper, we present a framework for multi-agent based search engine tool that can help the researchers to find their desired information in an efficient way and with the minimal pointer clicks. Through this methodology, the researchers would be able to obtain a summarized report along with the search details that closely match to the supplied search phrases. The same summary report can also be generated based on the research topics inscribed in the researchers’ profile or based on the history of their previous WWW usage.