AJOSE-ISMAIL, B. M. and OSANYIN, Q. A. (2019) A SEMANTIC APPROACH FOR FACILITATING SEARCH AND DISCOVERY OF OPEN GOVERNMENT DATA ON OPEN DATA PORTALS. In: Book of Proceedings of 4th National Development Conference of The School of Pure and Applied Science, The Federal Polytechnic Ilaro, Ogun State, 2nd – 5th December, 2019, 2nd – 5th December, 2019, Book of Proceedings of 4th National Development Conference of The School of Pure and Applied Science, The Federal Polytechnic Ilaro, Ogun State,.
![[img]](http://eprints.federalpolyilaro.edu.ng/style/images/fileicons/text.png) |
Text
A Semantic Approach for Facilitating Search and Discovery of Open Government Data on Open Data Portals.pdf Download (356kB) |
Abstract
The Open government initiative has seen a vast amount of open data portals being developed around the globe to promote the accessibility of government datasets which can yield high economic value if reused by researchers and developers. Their data needs may be met by submitting queries to a dataset search engine of an open data portal to retrieve relevant datasets. However, existing open data portals provide mostly keyword-based search without the ability to understand the user’s intent and the contextual meaning of the datasets. Data search systems on open data portals tend to rely on the text contained in metadata and dataset descriptions to facilitate keyword search. A cursory review of the literature indicates that poor discovery of datasets is a critical problem on open data portals. Semantic search has been well explored in semantic web as an attempt to improve the quality of search for relevant documents and web pages. In this work, we present an approach for semantic search of open government datasets, a relatively underexplored domain using machine learning and natural language processing techniques that help match a user data need against a collection of datasets This paper aims to consider the adoption of a semantic approach to open government dataset search that will help novice users search for open government datasets and improve the process of open data discovery.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mr. Bolanle Yisau I. |
| Date Deposited: | 07 Jun 2021 09:54 |
| Last Modified: | 07 Jun 2021 09:54 |
| URI: | http://eprints.federalpolyilaro.edu.ng/id/eprint/1645 |
Actions (login required)
 |
View Item |
