Information storage and retrieval systems allow for the systematic collection and organization of data so it can be easily located and accessed. There are various media that can store information, such as hard drives, floppy disks, CDs, DVDs, and USB flash drives. An information retrieval system includes a database to store items, a search mechanism to organize and find data, an interface for user interaction, and techniques like Boolean, proximity, range, fuzzy and query searches to retrieve relevant information. The development of the internet and web has increased access to online information retrieval systems around the world.
A presentation on resource sharing and networking by Dr. Keshava, Professor, Department of Studies and Research in Library and Information Science, Tumkur University, Karnataka, India.
Whenever you make a list of anything – list of groceries to buy, books to borrow from the library, list of classmates, list of relatives or friends, list of phone numbers and so o – you are actually creating a database.
An example of a business manual database may consist of written records on a paper and stored in a filing cabinet. The documents usually organized in chronological order, alphabetical order and so on, for easier access, retrieval and use.
Computer database are those data or information stored in the computer. To arrange and organize records, computer databases rely on database software
Microsoft Access is an example of database software.
A digital library is a special library with a focused collection of digital objects that can include text, visual material, audio material, video material, stored as electronic media formats (as opposed to print, microform, or other media), along with means for organizing, storing, and retrieving the files and media contained in the library collection.
The word 'Bibliography' originates from two Greek words, viz., 'Biblion' which means 'Book' and 'graphien' which means 'to write'. The original meaning of 'bibliography' was 'writing of books', Nowadays bibliography means listing of book/documents irrespective of the fact that whether they are available in a library or not.
Ontology and Ontology Libraries: a Critical StudyDebashisnaskar
The concept of digital library revolutionized its popularity with the development of networking technology. Digital library stores various kind of documents in digitized format that enables user smooth access to these documents at subsidized costs. In the recent past, a similar concept i.e., ontology library has gained popularity among the communities like semantic web, artificial intelligence, information science, philosophy, linguistics, and so forth.
This PPT contain details of Z39.50 and useful for Library Science students. This protocol used for information retrieval and in the end list of different types of protocols are given.
A presentation on resource sharing and networking by Dr. Keshava, Professor, Department of Studies and Research in Library and Information Science, Tumkur University, Karnataka, India.
Whenever you make a list of anything – list of groceries to buy, books to borrow from the library, list of classmates, list of relatives or friends, list of phone numbers and so o – you are actually creating a database.
An example of a business manual database may consist of written records on a paper and stored in a filing cabinet. The documents usually organized in chronological order, alphabetical order and so on, for easier access, retrieval and use.
Computer database are those data or information stored in the computer. To arrange and organize records, computer databases rely on database software
Microsoft Access is an example of database software.
A digital library is a special library with a focused collection of digital objects that can include text, visual material, audio material, video material, stored as electronic media formats (as opposed to print, microform, or other media), along with means for organizing, storing, and retrieving the files and media contained in the library collection.
The word 'Bibliography' originates from two Greek words, viz., 'Biblion' which means 'Book' and 'graphien' which means 'to write'. The original meaning of 'bibliography' was 'writing of books', Nowadays bibliography means listing of book/documents irrespective of the fact that whether they are available in a library or not.
Ontology and Ontology Libraries: a Critical StudyDebashisnaskar
The concept of digital library revolutionized its popularity with the development of networking technology. Digital library stores various kind of documents in digitized format that enables user smooth access to these documents at subsidized costs. In the recent past, a similar concept i.e., ontology library has gained popularity among the communities like semantic web, artificial intelligence, information science, philosophy, linguistics, and so forth.
This PPT contain details of Z39.50 and useful for Library Science students. This protocol used for information retrieval and in the end list of different types of protocols are given.
HELLO!
THIS PRESENTATION WILL GIVE YOU ALL THE BASIC AND IMPORTANT DETAILS ABOUT" INFORMATION STORAGE AND RETRIEVAL".
SO CHECK IT OUT IF YOU NEED THIS.
Site up an open access-ICAR
Institutional Repository-Hardware, Software, Policies and Personnel.
ICAR Initiatives
Under NATP Project – Integrated National Agricultural Resources Information System INARIS (Rai et. Al., 2007). A Central Data warehouse (CWD) of agricultural resources was established at IASRI
This project having collaborations with 13 other organizations of ICAR.
In this view 13 different data marts were designed.
This Project was available under this link (http://agdw.iasri.res.in)
My outlook Country should have agri-search engine
Agri-Search Engine should be developed in country to aggregate information from the internet and provide it to farmers in meaningful manner through using ICT tools.
Agri-Search Engine be coordinated with Govt. of India’s Agricultural Websites to monitor each website per day.
INTELLIGENT INFORMATION RETRIEVAL WITHIN DIGITAL LIBRARY USING DOMAIN ONTOLOGYcscpconf
A digital library is a type of information retrieval (IR) system. The existing information retrieval
methodologies generally have problems on keyword-searching. We proposed a model to solve
the problem by using concept-based approach (ontology) and metadata case base. This model
consists of identifying domain concepts in user’s query and applying expansion to them. The
system aims at contributing to an improved relevance of results retrieved from digital libraries
by proposing a conceptual query expansion for intelligent concept-based retrieval. We need to
import the concept of ontology, making use of its advantage of abundant semantics and
standard concept. Domain specific ontology can be used to improve information retrieval from
traditional level based on keyword to the lay based on knowledge (or concept) and change the
process of retrieval from traditional keyword matching to semantics matching. One approach is
query expansion techniques using domain ontology and the other would be introducing a case
based similarity measure for metadata information retrieval using Case Based Reasoning
(CBR) approach. Results show improvements over classic method, query expansion using
general purpose ontology and a number of other approaches.
Delhi Public Library, Ministry of Culture, Government of IndiaSumit Kumar Gupta
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As research becomes increasingly global, interdisciplinary and collaborative, you can make sure that critical research from around the world is not missed when you choose Scopus.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
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Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
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In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
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Cyber risk predictions
Axis of attacks – Europe
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2. Information storage and retrieval
Systematic process of collecting and cataloging data so that
they can be located and displayed on request. Computers and
data processing techniques have made possible to access the
high-speed and large amounts of information for government,
commercial, and academic purposes.
A branch of computer or library science relating to storage,
locating, searching and Selecting, upon demand, relevant data
on a given subject.
(Encyclopedia of Medical concept)
3. Basic concept of information
storage
It can refer to a place like a storage room
where paper records are kept. It can also
refer to a Storage device such as a
computer hard disk, CD, DVD, or similar
device which can hold data.
4. Types of Information storage media
Storage keeps data and information for use in the
future. Common storage mediums are:
1.Hard Drive
2.Floppy Disk
3.CD & DVD
4.USB Flash Drive
5. Hard Drive
It is always inside the computer.
It stores all the programs that the computer needs to
work.
Floppy Disk
It is a portable storage medium.
Put it into the computer save your information
6.
7. CD & DVD
It is a portable storage.
It allows you to save information on it.
USB Flash Drive
It is very easy to carry .
It holds more data than a floppy disk.
It is very small device than others.
8.
9. Basic concept of Information Retrieval
“An information retrieval system is an
information system, that is a system used to
store Items of information that need to be
processed, searched, retrieved, and
disseminated to various user populations”
(Salton, 1983)
10. Major Components of IR
Information retrieval can be divided into several
major constitutes which include:
Database
Search mechanism
Language
Interface
11. Database
A system whose base, whose key concept is simply a particular way
of handling data and Its objective is to record and maintain
information.
Search mechanism
Information organized systematically that can be searched and
retrieved when a corresponding search mechanism is provided.
Search procedure can be categorized as basic or advance search
procedure.
Capacity of search mechanism determines what retrieval
techniques will be available to users and how information stored in
databases can be retrieved.
12. Language
Information relies on language when being processed, transferred
or communicated.
Language can be identified as natural language and controlled
vocabulary.
Interface
Interface regularly considered whether or not an information
retrieval system is user Friendly. Quality of interface checked by
interaction mode.
Determines the ultimate success of a system for information
retrieval.
13. Retrieval techniques
Major retrieval techniques are:
Basic Retrieval Techniques
Advanced Retrieval techniques
Boolean Searching
Logical operations are also known as Boolean operators.
The AND operate for narrowing down a search
The OR operate for broadening a search
The NOT operator for excluding unwanted results
14.
15. Proximity searching
A proximity search allows you to specify how close two (or
more) words must be to each other in order to register a
match.
There are three types of proximity searches:
Word proximity
Sentence proximity
Paragraph proximity
16. Range searching
It is most useful with numerical information. The following
options are usually available for range searching.
Greater than (>) less than (<)
Equal to (=)
Not equal to (/=or 0)
Greater than equal to (>=)
Less than or equal to (<=)
Advanced Retrieval Techniques
Fuzzy searching
Query expansion
Multiple database searching
17.
18.
19. •Information Retrieval Systems
• Online systems
• CD-ROM systems
• OPAC
• Web information Retrieval Systems
Online systems
Online information retrieval systems allow the user to search
databases located remotely with the help of the computer and
telecommunication technology.
• Basic searching techniques
•Advanced retrieval techniques
Examples:
Library of congress, University of Punjab Library
20. Future Trends in Online Information Retrieval
Systems
A great increase in the number of information services that can
be accessed from around the world.
Specialized systems will be more “user oriented,” easily
accessible.
They should be oriented to natural language rathar than
controlled vocabularies.
Computer aided instruction should be incorporated into
systems.
Future of online systems must require less effort to use. They
should adapt to the user rathar than expecting the user to adapt
them. `
21. Conclusion
Internet and web developments have brought significant
changes to the economics of the information industry,
from which end-users benefits. Through the information
to rage and retrieval system, users can freely or on
payment of a fee access the relevant information.