Context Aware Semantic Search Engine for Smart Phones Tewodros Worku Kerie
No Thumbnail Available
Date
2015-03-31
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Addis Ababa University
Abstract
The World Wide Web is an information system of interlinked hypertext documents that are
accessed via the Internet. A search engine is a document retrieval system design to find
information stored in a computer system, such as on the WWW. With the exponential growth
in web content, the answers provided by traditional search engines by query specific
keywords to content has resulted in high recall and low precision. Many queries processed on
the World Wide Web do not return the desired results because they fail to take into account
the context of the query and information about user’s situation and preferences. Some search
engine now has semantic functionality, can understand data context, but it is limited to only
the context of the query.
Context-awareness refers to the capability of a software application to provide services to
their users based on the user’s current context. As such, the objective of this thesis is to
present context aware semantic search engines for smart phones. We present the architecture
of context aware semantic search engines on the top of semantic web. Ontology based
context modeling is used to represent user contexts. The user’s query history and submitted
query is also analyzed to identify the concept of the search. Prototype of the system is also
developed to demonstrate and test applicability and effectiveness of the proposed approach.
To evaluate the effectiveness of our approach precision measures were conducted on top 15
retrieved documents. The experimental results showed 71.7 % precision which is higher than
keyword base search results on the same dataset which is 41.18 % precision.
Keywords Semantic Search; Context aware Search; Search engine; Semantic web.
Description
Keywords
Semantic Search, Context Aware Search, Search Engine, Semantic Web