Date of Award

Summer 8-2019

Document Type

Thesis

Degree Name

Bachelor Degree

Department

Computer Science

First Advisor

Krenare Pireva Nuçi

Language

English

Abstract

In this digital age, an overwhelming amount of unstructured data found in the web is increasing at an unprecedented rate. In response, information extraction techniques have been developed to automatically extract information from unstructured text and populate knowledge bases. This thesis will introduce the reader to the idea of Knowledge Graphs, the history of how they were first experimented on and later developed, and in particular, this thesis is going to elaborate how Diffbot, Wikidata and IBM Watson technologies are modeled, stored and queried. By having this information at our fingertips, we believe that we can make smarter decisions, keep up with business trends, and even find ways to further improve our overall operations regarding data analysis. Different businesses demand different types of Business Intelligence Software. To understand well which one suits us, through this study we have evaluated features of Diffbot, Wikidata and IBM Watson by taking into consideration their conditions, features and costs.

DOI

10.33107/ubt-etd.2019.1695

Download

Share

COinS