A Fuzzy-Ontology Based Information Retrieval System for Relevant Feedback

International audienceObtaining correct and relevant information at the right time to user's query is quite a difficult task. This becomes even complex, if the query terms have many meanings and occur in different varieties of domain. This paper presents a fuzzy-ontology based information retrieval system that determine the semantic equivalence between terms in a query and terms in a document by relating the synonyms of query terms with those of document terms. Hence, documents could be retrieved based on the meaning of query terms. The challenge has been that surface form does not sufficiently retrieve relevant document to user's query. However, the results presented showed that the Fuzzy-Ontology Information Retrieval system successfully retrieve relevant documents to user's query. This is irrespective of different meaning and varieties of domain. The System was tested on words with different meanings and some set of user's query from varied domains

Do People in Low Resource Environments only Need Search? Exploring Digital Archive Functionalities in South Africa

Existing user studies on how users use digital archives as information systems seldom focus on what influences users’ needs and expectations. Similarly, not much is known about how the low resource context influences users’ needs. What users expect from searching and other related functionalities is rarely addressed in the cultural heritage and historical digital archives. These gaps unveil the mismatch between users’ needs (and expectations) and deployed technologies in the low resource context. As a result, delivering novel services through these digital archives is impossible because of the gap between design and reality. Users in the low resource environment are thus constrained to use whatever functionalities are available. This paper presents the empirical result of a user study. We determined the study’s sample framing using the future determination analysis technique. This analysis also guided the scoping of the study’s survey. The study foregrounds the need to adapt to users’ ever-changing expectations by understanding their needs. This is critical for a better system design that meets users’ expectations. A key finding is that users strongly prefer simple search functionalities in low-resource environments. Regardless, they would prefer to use advanced features if given the opportunity. However, the expertise (and sometimes funding) needed to satisfy this desire is scarce. The surveyed users are only end-users without the expertise to innovate and build digital archives to meet their needs. This dearth of “resource(s)” was found to be characteristic of the experience of low resource (or resource-poor) settings like South Africa

A Fuzzy-Ontology Based Information Retrieval System for Relevant Feedback

Obtaining correct and relevant information at the right time to user’s query is quite a difficult task. This becomes even complex, if the query terms have many meanings and occur in different varieties of domain. This paper presents a fuzzy-ontology based information retrieval system that determine the semantic equivalence between terms in a query and terms in a document by relating the synonyms of query terms with those of document terms. Hence, documents could be retrieved based on the meaning of query terms. The challenge has been that surface form does not sufficiently retrieve relevant document to user’s query. However, the results presented showed that the Fuzzy-Ontology Information Retrieval system successfully retrieve relevant documents to user’s query. This is irrespective of different meaning and varieties of domain. The System was tested on words with different meanings and some set of user’s query from varied domains