Information Retrieval Techniques (original) (raw)

A Novel Approach for Information Retrieval on the Web

The diverse and huge volume of information available over networks makes it difficult for the user to find their accurate information need. Previous information retrieval system mostly uses keywords to retrieve and index the documents, which may return inaccurate result when different keywords are employed to express the same concept in the document and queries presented by the user. However, to overcome the problem of retrieving accurate information on the Web intelligently, current information retrieval approaches need to be improved. Concept-based information retrieval are playing major role in retrieving meaningful information intelligently. In this paper, we propose a novel concept-based approach using Wikipedia-based Explicit Semantic Analysis and Ontology. We propose approach that first specifies the given context of query words semantically by using Ontology, which contains Wikipedia-based concept to query words disambiguation, and then extracts corresponding concepts for each word based on the given context. As a result the retrieved documents will be more relevant to the user query and Concept-based information retrieval systems performance will improve.

Knowledge Retrieval and the World Wide Web

THE WEB IS CURRENTLY A DISTRIBUTED MASS OF SIMPLE HYPERTEXT DOCUMENTS. LARGE-SCALE WEB SEARCH ENGINES SUCH AS ALTAVISTA AND INFOSEEK ARE NOT CAPABLE OF RETRIEVING PRECISE INFORMATION RESULTS. THE AUTHORS PRESENT A NEW TOOL, WEBKB, THAT INTERPRETS SEMANTIC STATEMENTS STORED IN WEB-ACCESSIBLE DOCUMENTS.

A STUDY OF WEB INFORMATION RETRIEVAL AND E-CONTENT SEARCHING SYSTEMS

IAEME PUBLICATION, 2020

The searching of relevant content for any particular application area is a challenging task in today’s ocean of knowledge on the web. There are various factors such as user query, search technique and ranking algorithms that affect the traditional information retrieval process as well as the modern semantic based search systems. The present study aim to provide a comprehensive review of literature on the various approaches that are used for the retrieval and searching of the relevant e-content.