Abstract
Users need more effective ways of organizing and searching for information. It has become increasingly difficult for users to findinformation on the World Wide Web that satisfies their individual needs since information resources on the World Wide Web continue to grow. The reason is that the World Wide Web provides a bunch of information that is generic in perspective. Although, the generic search engine makes attempts to streamline searching to search-key by traversing and combing the whole bunch of stored information. Under these circumstances, the system turns out to be inefficient and many times the results do not tally to what users desire. This paper presents a system to find interesting textual content among tons of documents taking the department of computer science of the University of Abuja, Nigeria as a case study. The paper proposed a vector space ranking algorithm which is a content-based ranking method that allows the user to utilize the full co-occurrence matrix of all words in the corpus to bring out relevant material using a simple and structured query interface. The index structures of the system have been specifically designed to support the ranking scheme. One important aspect of the system is its flexibility and robustness that makes it adaptable to any domain rather than being tailored to a particular one.
Highlights
A domain-specific search engine is the one caters to a specific audience while offering high quality search within a particular domain [1]
By domain-specific, it could mean information to a specific audience such as students of computer science department that need study materials specific to their studies from the library; it could mean specific information to a general audience such as students accessing system that provides only study materials meant for general studies like “Use of English”
Vector space model is adopted for the ranking which helps to solve the problem arise whereby one document contains much more content than another document, without being more relevant
Summary
A domain-specific search engine is the one caters to a specific audience (or specific needs of a general audience) while offering high quality search within a particular domain [1]. This is contrary to generic search engine that adopted a "one size fits all" strategy in searching for information on WWW. Web search engines help users find useful information on the WWW. Web search engines collect data from the Web by “crawling”, specific search engines are based on focused crawlers, which collect only the documents related to the given topics of interest [2]
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