A knowledge representation for conceptual information retrieval

1989 ◽  
Vol 4 (3) ◽  
pp. 259-283 ◽  
Author(s):  
Richard M. Tong ◽  
Lee A. Appelbaum ◽  
Victor N. Askman
Keyword(s):  
Information Retrieval ◽  
Knowledge Representation ◽  
Conceptual Information

scholarly journals An Art of Review on Conceptual based Information Retrieval

Webology ◽  
2021 ◽  
Vol 18 (SI02) ◽  
pp. 21-31
Author(s):  
P. Mahalakshmi ◽  
N. Sabiyath Fathima
Keyword(s):  
Information Retrieval ◽  
Keyword Search ◽  
Semantic Representation ◽  
Research Work ◽  
Semantic Search ◽  
Future Research ◽  
Conceptual Information ◽  
Retrieval Systems ◽  
User Query ◽  
Information Retrieval Systems

Basically keywords are used to index and retrieve the documents for the user query in a conventional information retrieval systems. When more than one keywords are used for defining the single concept in the documents and in the queries, inaccurate and incomplete results were produced by keyword based retrieval systems. Additionally, manual interventions are required for determining the relationship between the related keywords in terms of semantics to produce the accurate results which have paved the way for semantic search. Various research work has been carried out on concept based information retrieval to tackle the difficulties that are caused by the conventional keyword search and the semantic search systems. This paper aims at elucidating various representation of text that is responsible for retrieving relevant search results, approaches along with the evaluation that are carried out in conceptual information retrieval, the challenges faced by the existing research to expatiate requirements of future research. In addition, the conceptual information that are extracted from the different sources for utilizing the semantic representation by the existing systems have been discussed.

CONSTRUCTING AN ONTOLOGY-BASED AND GRAPH-BASED KNOWLEDGE REPRESENTATION OF ENGLISH QURAN

2016 ◽  
Vol 78 (8-2) ◽  
Author(s):  
Mohamad Fauzan Noordin ◽  
Tengku Mohd. Tengku Sembok ◽  
Roslina Othman ◽  
Ria Hari Gusmita
Keyword(s):  
Information Retrieval ◽  
Knowledge Representation ◽  
Question Answering ◽  
Graph Database ◽  
Retrieval Process ◽  
Valuable Contribution ◽  
Question Answering System ◽  
Part Of Speech

This paper describes a work in constructing two models of knowledge representation (KR) in aiming to do evaluation of their achievement in contributing to increase performance of retrieving information on English Quran domain. Due to many approaches available to construct a KR in providing data for information retrieval process, there is a need to find out in what model the KR could provide a valuable contribution for retrieving information. We focused on ontology-based KR and graph database-based KR. We use Quranic Arabic corpus that available at http://www.corpus.quran.com as a source to build the KR. We extracted several data from it i.e. English token, token location, and token Part of Speech (POS). Protégé is used to construct the ontology and Neo4j is utilized in developing the graph database. Both KR models will be equipped in developing of an English Quran Question Answering system in order to evaluate their benefit.

A New Method of Calculating the Concept Similarity

2013 ◽  
Vol 321-324 ◽  
pp. 1951-1956
Author(s):  
Guo Wei Yang ◽  
Min Chen ◽  
Xiao Feng Zhang
Keyword(s):  
Artificial Intelligence ◽  
Information Retrieval ◽  
Knowledge Representation ◽  
Influencing Factor ◽  
Domain Ontology ◽  
New Method ◽  
Area Density ◽  
Concept Similarity

The study of Concept Similarity is a very important aspect of Knowledge Representation and Information Retrieval in Artificial Intelligence, and it is also a bottleneck that hasn’t been well solved in the Ontology Research. In this article, we take every influencing factor into account, especially the area density, a new method of concept similarity based-on Domain Ontology is suggested. The experiment results show that: the new method we proposed in this article can more reasonably describe the concept similarity.

scholarly journals On Knowledge Organization

2012 ◽  
Vol 13 (1) ◽  
pp. 249-256
Author(s):  
Alan Gilchrist
Keyword(s):  
Information Retrieval ◽  
Knowledge Representation ◽  
End Users ◽  
Knowledge Organization ◽  
Working Environment ◽  
Knowledge Models ◽  
Self Testing ◽  
The World ◽  
Other Information ◽  
Information Professionals

It is argued that because knowledge is abstract and every person has a unique perception of his environment and the properties and behaviour of its components, it follows that those people engaged in Knowledge Organization (and less directly Knowledge Representation) must base their work on physical records, which we may call carriers of information, or messages. The products based on analysis of these messages can then be considered as models of knowledge. Models are created in order to reduce complexity and to gain a clearer understanding of aspects of the world around us, but they must be continuously tested and revised in a working environment. The testing of the products of Knowledge Organization is often carried out by information scientists in their provision of information retrieval, whereas while the products of Knowledge Representation also rely on Knowledge Organization, they may be considered, to some extent, to be self-testing. It follows that much can be gained by a closer collaboration between those engaged in Knowledge Organization, Knowledge Representation and various other information professionals engaged in delivering information to end users.

Conceptual Information Retrieval

2004 ◽  
pp. 137-144
Author(s):  
Emerson L. dos Santos ◽  
Fabiano M. Hasegawa ◽  
Bráulio C. Ávila ◽  
Fabrício Enembreck
Keyword(s):  
Information Retrieval ◽  
Conceptual Information
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