The research paradigm — methodology, epistemology and ontology — explained in simple language July 15, CommentsViews I have put together this post to explain what a research paradigm is, which includes ontology, epistemology, theoretical framework and methodology, and why it is important for your research or PhD. It took me a while to understand this properly, and below is a summary of my understanding of the topic, which I hope will help you. I suggest you go easy on yourself I was pulling my hair out on the second day. I would also love to be corrected if anything below is wrong though as you are aware, there are so many disagreements amongst philosophers and epistemologists — there is no one right answer!
Google is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems. The prototype with a full text and hyperlink database of at least 24 million pages is available at http: Search engines index tens to hundreds of millions of web pages involving a comparable number of distinct terms.
They answer tens of millions of queries every day. Despite the importance of large-scale search engines on the web, very little academic research has been done on them.
Furthermore, due to rapid advance in technology and web proliferation, creating a web search engine today is very different from three years ago. This paper provides an in-depth description of our large-scale web search engine -- the first such detailed public description we know of to date.
Apart from the problems of scaling traditional search techniques to data of this magnitude, there are new technical challenges involved with using the additional information present in hypertext to produce better search results.
This paper addresses this question of how to build a practical large-scale system which can exploit the additional information present in hypertext. Also we look at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.
There are two versions of this paper -- a longer full version and a shorter printed version. The web creates new challenges for information retrieval. The amount of information on the web is growing rapidly, as well as the number of new users inexperienced in the art of web research.
People are likely to surf the web using its link graph, often starting with high quality human maintained indices such as Yahoo! Human maintained lists cover popular topics effectively but are subjective, expensive to build and maintain, slow to improve, and cannot cover all esoteric topics.
Automated search engines that rely on keyword matching usually return too many low quality matches. To make matters worse, some advertisers attempt to gain people's attention by taking measures meant to mislead automated search engines. We have built a large-scale search engine which addresses many of the problems of existing systems.
It makes especially heavy use of the additional structure present in hypertext to provide much higher quality search results. We chose our system name, Google, because it is a common spelling of googol, or and fits well with our goal of building very large-scale search engines.
As of November,the top search engines claim to index from 2 million WebCrawler to million web documents from Search Engine Watch.
It is foreseeable that by the yeara comprehensive index of the Web will contain over a billion documents. At the same time, the number of queries search engines handle has grown incredibly too.
In NovemberAltavista claimed it handled roughly 20 million queries per day. With the increasing number of users on the web, and automated systems which query search engines, it is likely that top search engines will handle hundreds of millions of queries per day by the year The goal of our system is to address many of the problems, both in quality and scalability, introduced by scaling search engine technology to such extraordinary numbers.
Scaling with the Web Creating a search engine which scales even to today's web presents many challenges.
Fast crawling technology is needed to gather the web documents and keep them up to date.The purpose of this workshop is for participants to learn about state-of-the-art mixed methods research design and incorporate rigorous mixed methods components into their own dissertation/thesis .
University of Kentucky UKnowledge University of Kentucky Doctoral Dissertations Graduate School AN EXPLORATORY MIXED METHODS STUDY OF PROSPECTIVE MIDDLE GRADES. A MIXED METHODS INVESTIGATION OF LEADERSHIP AND PERFORMANCE IN PRACTICE-BASED RESEARCH NETWORKS by PH.D.
THESIS _____ This is to certify that the Ph.D. thesis of exploratory mixed methods design was used to interview and survey PBRN directors and non-director participants. In Phase I, a. This is the English rranrlorion ~f the article Adolescent Alcohol Use: An Integrated Approach rhr isprinredin rhe Moy Journal of Guangxi University for Nationalities [Philosophy and Social Science Edilion], Vol 28, No.
3, poge , Adolescent Alcohol Use: Mixed Methods Research Approach Ian M. Newman, PhD Duane F. Shell, PhD Qu Ming, MD, MEd. Designing and conducting mixed methods research.
Thousand Oaks, CA: Sage. Summarize each piece of research described, with special focus on the lessons learned from the research. This thesis makes a contribution to the development of mixed methods research in the fields of finance, accounting and management by providing an example of how quantitative and qualitative approaches can be integrated to investigate a research question.