scispace - formally typeset
Search or ask a question
Proceedings ArticleDOI

Information retrieval system based on ontology

TL;DR: Over the years, the volume of information available through the world wide web has been increasing continuously, and never has so much information readily available and shared among so many people.
Abstract: Over the years, the volume of information available through the world wide web has been increasing continuously, and never has so much information readily available and shared among so many people. Unfortunately, the unstructured nature and huge volume of information accessible over network have made it difficult for users to shift through and find relevant information. The information retrievals commonly used are based on keywords. These techniques used keyword lists to describe the content of information, but one problem with such list is that they do not say anything about the symantic relationships between keywords, nor do they take into account the meaning of words or phrases.
Citations
More filters
References
More filters
Journal ArticleDOI
TL;DR: It is argued that keeping in mind all five of these roles that a representation plays provides a usefully broad perspective that sheds light on some longstanding disputes and can invigorate both research and practice in the field.
Abstract: Although knowledge representation is one of the central and, in some ways, most familiar concepts in AI, the most fundamental question about it -- What is it? -- has rarely been answered directly. Numerous papers have lobbied for one or another variety of representation, other papers have argued for various properties a representation should have, and still others have focused on properties that are important to the notion of representation in general. In this article, we go back to basics to address the question directly. We believe that the answer can best be understood in terms of five important and distinctly different roles that a representation plays, each of which places different and, at times, conflicting demands on the properties a representation should have. We argue that keeping in mind all five of these roles provides a usefully broad perspective that sheds light on some longstanding disputes and can invigorate both research and practice in the field.

1,199 citations

Book
01 Nov 1998

1,028 citations

Book
01 Sep 1995

969 citations

Journal ArticleDOI
TL;DR: A model for the exploitation of ontology-based knowledge bases to improve search over large document repositories and is combined with conventional keyword-based retrieval to achieve tolerance to knowledge base incompleteness.
Abstract: Semantic search has been one of the motivations of the semantic Web since it was envisioned. We propose a model for the exploitation of ontology-based knowledge bases to improve search over large document repositories. In our view of information retrieval on the semantic Web, a search engine returns documents rather than, or in addition to, exact values in response to user queries. For this purpose, our approach includes an ontology-based scheme for the semiautomatic annotation of documents and a retrieval system. The retrieval model is based on an adaptation of the classic vector-space model, including an annotation weighting algorithm, and a ranking algorithm. Semantic search is combined with conventional keyword-based retrieval to achieve tolerance to knowledge base incompleteness. Experiments are shown where our approach is tested on corpora of significant scale, showing clear improvements with respect to keyword-based search

456 citations

Journal ArticleDOI
TL;DR: The authors describe their approach and the tool they developed to make annotating photos and searching for specific images more intelligent.
Abstract: While technology enables the storage and distribution of photographic images on an unprecedented scale, finding what you want can be like finding the proverbial needle in a haystack. The authors describe their approach and the tool they developed to make annotating photos and searching for specific images more intelligent.

318 citations