A User-Aware and Semantic Approach for Enterprise Search

This article describes how in addition to general purposes search engines, specialized search engines have appeared and have gained their part of the market. An enterprise search engine enables the search inside the enterprise information, mainly web pages but also other kinds of documents; the search is performed by people inside the enterprise or by customers. This article proposes an enterprise search engine called AMBIT1-SE that relies on two enhancements: first, it is user-aware in the sense that it takes into consideration the profile of the users that perform the query; second, it exploits semantic techniques to consider not only exact matches but also synonyms and related terms. It performs two main activities: (1) information processing to analyse the documents and build the user profile and (2) search and retrieval to search for information that matches user's query and profile. An experimental evaluation of the proposed approach is performed on different real websites, showing its benefits over other well-established approaches.

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A Review on Semantic Text and Multimedia Retrieval and Recent Trends

International Journal of Multimedia Data Engineering and Management ◽

10.4018/ijmdem.2015010104 ◽

2015 ◽

Vol 6 (1) ◽

pp. 54-74

Author(s):

Oğuzhan Menemencioğlu ◽

İlhami Muharrem Orak

Keyword(s):

Semantic Web ◽

Search Engine ◽

Search Engines ◽

Semantic Search ◽

Multimedia Retrieval ◽

Web Pages ◽

The Face ◽

Recent Trends ◽

New Applications ◽

Machine Readable

Semantic web works on producing machine readable data and aims to deal with large amount of data. The most important tool to access the data which exist in web is the search engine. Traditional search engines are insufficient in the face of the amount of data that consists in the existing web pages. Semantic search engines are extensions to traditional engines and overcome the difficulties faced by them. This paper summarizes semantic web, concept of traditional and semantic search engines and infrastructure. Also semantic search approaches are detailed. A summary of the literature is provided by touching on the trends. In this respect, type of applications and the areas worked for are considered. Based on the data for two different years, trend on these points are analyzed and impacts of changes are discussed. It shows that evaluation on the semantic web continues and new applications and areas are also emerging. Multimedia retrieval is a newly scope of semantic. Hence, multimedia retrieval approaches are discussed. Text and multimedia retrieval is analyzed within semantic search.

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Critical Analysis of Major Search Engines

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2019.8239 ◽

2019 ◽

Vol 16 (9) ◽

pp. 3712-3716

Author(s):

Kailash Kumar ◽

Abdulaziz Al-Besher

Keyword(s):

Search Engine ◽

Search Engines ◽

Critical Analysis ◽

Research Paper ◽

Web Pages ◽

Ranking Algorithm ◽

Handling Complex Queries Using Query Trees

10.36227/techrxiv.14845212 ◽

2021 ◽

Author(s):

Srihari Vemuru ◽

Eric John ◽

Shrisha Rao

Keyword(s):

Search Engine ◽

Search Engines ◽

Knowledge Bases ◽

Web Pages ◽

Complex Query ◽

Complex Queries ◽

Tree Generation ◽

Query Tree ◽

Final Answer ◽

Simple Query

Humans can easily parse and find answers to complex queries such as "What was the capital of the country of the discoverer of the element which has atomic number 1?" by breaking them up into small pieces, querying these appropriately, and assembling a final answer. However, contemporary search engines lack such capability and fail to handle even slightly complex queries. Search engines process queries by identifying keywords and searching against them in knowledge bases or indexed web pages. The results are, therefore, dependent on the keywords and how well the search engine handles them. In our work, we propose a three-step approach called parsing, tree generation, and querying (PTGQ) for effective searching of larger and more expressive queries of potentially unbounded complexity. PTGQ parses a complex query and constructs a query tree where each node represents a simple query. It then processes the complex query by recursively querying a back-end search engine, going over the corresponding query tree in postorder. Using PTGQ makes sure that the search engine always handles a simpler query containing very few keywords. Results demonstrate that PTGQ can handle queries of much higher complexity than standalone search engines.

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Reliability of women epilepsy related information from main web search engines in China?deceitful web search environment and illumination (Preprint)

10.2196/preprints.7724 ◽

2017 ◽

Author(s):

Xi Zhu ◽

Xiangmiao Qiu ◽

Dingwang Wu ◽

Shidong Chen ◽

Jiwen Xiong ◽

...

Keyword(s):

Search Engine ◽

Search Engines ◽

Web Search ◽

Negative Impact ◽

Academic Publishing ◽

Web Pages ◽

Efficient System ◽

Related Information ◽

Web Search Engines ◽

Electronic Health

BACKGROUND All electronic health practices like app/software are involved in web search engine due to its convenience for receiving information. The success of electronic health has link with the success of web search engines in field of health. Yet information reliability from search engine results remains to be evaluated. A detail analysis can find out setbacks and bring inspiration. OBJECTIVE Find out reliability of women epilepsy related information from the searching results of main search engines in China. METHODS Six physicians conducted the search work every week. Search key words are one kind of AEDs (valproate acid/oxcarbazepine/levetiracetam/ lamotrigine) plus "huaiyun"/"renshen", both of which means pregnancy in Chinese. The search were conducted in different devices (computer/cellphone), different engines (Baidu/Sogou/360). Top ten results of every search result page were included. Two physicians classified every results into 9 categories according to their contents and also evaluated the reliability. RESULTS A total of 16411 searching results were included. 85.1% of web pages were with advertisement. 55% were categorized into question and answers according to their contents. Only 9% of the searching results are reliable, 50.7% are partly reliable, 40.3% unreliable. With the ranking of the searching results higher, advertisement up and the proportion of those unreliable increase. All contents from hospital websites are unreliable at all and all from academic publishing are reliable. CONCLUSIONS Several first principles must be emphasized to further the use of web search engines in field of healthcare. First, identification of registered physicians and development of an efficient system to guide the patients to physicians guarantee the quality of information provided. Second, corresponding department should restrict the excessive advertisement sale trades in healthcare area by specific regulations to avoid negative impact on patients. Third, information from hospital websites should be carefully judged before embracing them wholeheartedly.

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Discovering How Students Search a Library Web Site: A Usability Case Study

College & Research Libraries ◽

10.5860/crl.63.4.354 ◽

2002 ◽

Vol 63 (4) ◽

pp. 354-365 ◽

Cited By ~ 43

Author(s):

Susan Augustine ◽

Courtney Greene

Keyword(s):

Search Engine ◽

Long Range ◽

Web Sites ◽

Search Engines ◽

Web Pages ◽

Usability Study ◽

Web Page ◽

The Past ◽

Library Resources

Have Internet search engines influenced the way students search library Web pages? The results of this usability study reveal that students consistently and frequently use the library Web site’s internal search engine to find information rather than navigating through pages. If students are searching rather than navigating, library Web page designers must make metadata and powerful search engines priorities. The study also shows that students have difficulty interpreting library terminology, experience confusion discerning difference amongst library resources, and prefer to seek human assistance when encountering problems online. These findings imply that library Web sites have not alleviated some of the basic and long-range problems that have challenged librarians in the past.

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Searching Bioinformatics Information Strategies for Effective Use of Search Engine

Biomedical Engineering ◽

10.4018/978-1-5225-3158-6.ch033 ◽

2018 ◽

pp. 742-748

Author(s):

Viveka Vardhan Jumpala

Keyword(s):

World Wide Web ◽

Search Engine ◽

Search Engines ◽

World Wide ◽

The Internet ◽

Information Strategies ◽

The World ◽

Search For Information ◽

Effective Use ◽

The Web

The Internet, which is an information super high way, has practically compressed the world into a cyber colony through various networks and other Internets. The development of the Internet and the emergence of the World Wide Web (WWW) as common vehicle for communication and instantaneous access to search engines and databases. Search Engine is designed to facilitate search for information on the WWW. Search Engines are essentially the tools that help in finding required information on the web quickly in an organized manner. Different search engines do the same job in different ways thus giving different results for the same query. Search Strategies are the new trend on the Web.

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Search Integration with WebSphere Portal

Enhancing Enterprise and Service-Oriented Architectures with Advanced Web Portal Technologies ◽

10.4018/978-1-4666-0336-3.ch007 ◽

2012 ◽

pp. 68-86

Author(s):

Andreas Prokoph

Keyword(s):

Search Engine ◽

Search Engines ◽

Web Applications ◽

New Technologies ◽

User Interaction ◽

Web Pages ◽

Portal Site ◽

Dynamic Content ◽

Site Search ◽

Web Crawlers

Modern web applications and servers like Portal require adequate support for integration of search services due to user focused information delivery and user interaction, as well as new technologies used to render such information, which is exemplified by two fundamental problems that have long plagued web crawlers: dynamic content and Javascript generated content. Today, the solution is simple: ignore such web pages. To enable “search” in Portals, a different “crawling” paradigm is required to search engines to gather and consume information. WebSphere Portal provides a framework that propagates content and information through “Seedlists”—comparable to HTML based sitemaps but richer in terms of features. This mandates that information and content delivering applications must be “search engine aware”, requiring them to enable services and seedlists for fast, efficient and complete delivery of content and information. This is the main integration point for search engines into the portal for Portal site search services for a rich and user focused search experience. This article discusses how such technologies can allow for more efficient crawling of public Portal sites by prominent Internet search engines as well as myths surrounding search engine optimization.

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Analysis of Web Pages Based the Changed Information and its’ Application in the Search Engine for one Web Site

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.303-306.2311 ◽

2013 ◽

Vol 303-306 ◽

pp. 2311-2316

Author(s):

Hong Shen Liu ◽

Peng Fei Wang

Keyword(s):

Search Engine ◽

Search Engines ◽

Web Site ◽

New Method ◽

Web Pages ◽

Web Crawler ◽

The Core ◽

Core Technology ◽

The Web

The structures and contents of researching search engines are presented and the core technology is the analysis technology of web pages. The characteristic of analyzing web pages in one website is studied, relations between the web pages web crawler gained at two times are able to be obtained and the changed information among them are found easily. A new method of analyzing web pages in one website is introduced and the method analyzes web pages with the changed information of web pages. The result of applying the method shows that the new method is effective in the analysis of web pages.

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Web Crawler and Web Crawler Algorithms: A Perspective

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.e9362.069520 ◽

2020 ◽

Vol 9 (5) ◽

pp. 203-205

Keyword(s):

Search Engine ◽

Search Engines ◽

The Internet ◽

Web Pages ◽

Web Crawler ◽

Day By Day ◽

The Web

A web crawler is also called spider. For the intention of web indexing it automatically searches on the WWW. As the W3 is increasing day by day, globally the number of web pages grown massively. To make the search sociable for users, searching engine are mandatory. So to discover the particular data from the WWW search engines are operated. It would be almost challenging for mankind devoid of search engines to find anything from the web unless and until he identifies a particular URL address. A central depository of HTML documents in indexed form is sustained by every search Engine. Every time an operator gives the inquiry, searching is done at the database of indexed web pages. The size of a database of every search engine depends on the existing page on the internet. So to increase the proficiency of search engines, it is permitted to store only the most relevant and significant pages in the database.

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