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1. DIFFERENCES BETWEEN DBMS AND IRS FUNCTIONALITIES

DATABASE MANAGEMENT SYSTEM INFORMATION RETRIEVAL SYSTEM

Database handles with structured data by using well defined formal language for data manipulation. Information Retrieval deal with unstructured data without a well-defined logical schematic.

Database have fixed schema driven in some data model such as relational model. Information Retrieval has no fixed schema and has various data models such as vector space model.

Database uses structured query model. Information Retrieval uses free-form query models.

Database contains rich metadata operations. Information Retrieval contain rich data operation.

Query will return data. Search request will return list or documents.

Database will return results that are exactly matching. In an Information Retrieval, result are based on close to the actual, but not completely accurate or exact.

2. DIFFERENCES BETWEEN DATA AND INFORMATION

2.1 DATA

Data is the plural word of “datum”, which means it just only a fact. Data can be described as raw material whether it is written in physical form or stored in electronic devices. It also can refer as facts, figures, statistics related to an object and discrete items, such as the name of a person or the price of a house. If the data collected is meaningless, the information presented will be meaningless as well. Since data is a raw fact which doesn’t make sense on its own, it will be processed into information.

The manipulated and processed form of data is more meaningful and it is used for decisions making. There are several types of data which are image, audio, video, text and numbers. Data can be separated into two parts, which are quantitative data and qualitative data. Quantitative...

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...xample of structured data is databases and XML data.

4.2 UNSTRUCTURED DATA

The term unstructured data point out to any data that has no identifiable structure. For instance, images, videos, email, documents and text are all considered to be unstructured data within a dataset. While each individual document may contain its own specific structure or formatting that based on the software program used to create the data, unstructured data may also be considered “loosely structured data” because the data sources do have a structure but all data within a dataset will not contain the same structure.

Short Message Service (SMS) is one of the examples of unstructured data. It's indexed by date and time, sender, receiver, but the body of a text remains unstructured. Other example of unstructured data is books, documents or journal, and social media posts.