An overview on Ontology learning algorithm and its Future research scope ppt

A N O V E R V I E W ON O N T O L O G Y LEARNING ALGORITHM A N D ITS F U T U R E R E S E A R C H A n A c a d e m i c presentation by S CnO P EHead, Technical Operations, Tutors India Dr. Na c y Agnes, Gr o up www. tut orsindia.com Email: info@tutorsindia.com

TO D A Y ' S OINTRODUCTION U TLIN E

ONTOLOGIES LEARNING SYSTEMS FUTURE SCOPE CONCLUSION

INTRODUCTION The high manual cost of ontology construction, the constant change in science and knowledge in general, the enormous amount of existing text with numbers growing exponentially, and the extensive need forsuch a variety of ontology type asvocabularies, resources formal taxonomies taxonomies, are all driving forces behind Ontology Learning. and

Contd...

[Interested with the introduction of the ontology computer dissertation topic ideas, Want to explore more interesting and scopeful topic ideas for your research paper. Searching for the Computer science thesis writing help uk contact us info@tutorsindia.com] Because of their widespread usage in Internet-based applications, ontologies have earned a lot of popularity and recognition in the semantic web. In all artificially intelligent systems, ontologies are frequently regarded as a valuable source of semantics and interoperability.

CONTD...

The exponential growth of unstructured data on the internet has made automated ontology extraction from unstructured text a hot topic in study.

Several approaches based on a variety of techniques (machine learning, text mining, knowledge representation and reasoning, information retrieval, and natural language processing) are being presented to automate the process of ontology collection.

At Tutors India, we offer Computer science and Information Technology Research Guidance services – We deliver exceptional work where your dissertation will deserve publication without significant reworking or alternation.

ONTOLOGIES LEARNING S YS T E MS In addition to the approaches utilized by each system in terms of the related goals to be system performed, in terms an of its overview the of purpose the behind creators, ontologylearning the its application algorithm, areas is provided. and ASIUM is a semi-automated ontology learning system .

The goal of this method is to extract semantic knowledge from texts and utilize it to transfer knowledge from one domain to another.

CONTD...

DEOVERS: MARKETING 2020

ASIUM performs ontology learning tasks using linguistics and statistics-based approaches, such as preprocessing texts and identifying sub categorization frames, extracting words and form ideas, and creating hierarchy.

Text-to-Onto is a semi-automated system that is part of the KAON infrastructure for ontology maintenance. KAON is a complete set of tools for creating and managing ontologies.

Text-to-Onto performs ontology learning tasks such as preparing texts and extracting words, creating ideas, constructing hierarchy, identifying non- taxonomic connections, and labeling non-taxonomic relations using linguistics and statistics-based approaches.

CONTD...

TextStorm/Clouds, a semi-automated ontology learning system, is part of the Dr. Divago idea exchange and generating system.

The goal of this method is to create and develop a domain ontology that can be used in Dr. Divago to find resources in a multidomain environment and make musical compositions or graphics.

TextStorm/Clouds performs ontology learning tasks such as preprocessing texts and extracting words, creating hierarchy, identifying nontaxonomic connections, labelling non-taxonomic relations, and extracting axioms using logic and linguistics-based approaches.

SYNDIKATE is a self-contained automated ontology learning system.

SYNDIKATE performs ontology learning tasks such as extracting words, creating ideas, constructing hierarchy, finding non-taxonomic connections, and labelling nontaxonomic relations entirely using linguistics-based approaches.

Under the Federated European Tourist Information System6, OntoLearn is part of a project to build an interoperable infrastructure for small and medium companies in the tourism industry (FETISH). OntoLearn performs ontology learning tasks such as preparing texts and extracting words, generating ideas, and constructing hierarchies using linguistics and statistics-based approaches.

CONTD...

CRCTOL is a system for building ontologies from domain-specific documents that stands for conceptrelation-concept tuple-based ontology CRCTOL performs ontology learning tasks such as learning. preparing texts, extracting words and creating ideas, constructing hierarchy, and identifying nontaxonomic connections using linguistics and statistics-based approaches.

The OntoGain system, developed by the Technical University of Crete, In distinct field unsupervised namel the extractionand computer from is two aimed at the of ontologies y medical to science the unstructured text.s, domains,OntoG was compare Text2Onto, successor of Textain Againstd CONTD...

Onto.

To conduct ontology learning tasks such as preparing texts, extracting words and creating ideas, constructing hierarchy, and discovering non-taxonomic connections, OntoGain employs linguistics and statistics-based approaches Our Tutors India supports all your programming, coding & algorithm development needs. We have a team of experts who can handle c oding and algorithms for all your engineering projects.

You hire Tutors India experts to develop your Computer Science dissertation research project.

FUTURE SCOPE There are numerous important issues that will likely define future research directions in this area [ (1) the problem of authority, noise and rationality in Web data for ontology learning; (2) the combination of social data into the learning procedure to include consensus into ontology structure; (3) the plan of new techniques for manipulating the structural richness of collaboratively maintained Web data; and (4) the representation of ontological entities as lattices]. (5) the suitability of present techniques for learning ontologies for different writing systems (e.g., alphabetic, logographic); (6) the competence and robustness of present techniques for Web-scale ontology learning; (7) the growing importance of ontology mapping as more ontologies become available; and (8) the extensibility of existing lightweight ontologies to formal ones.

CONCLUSION Ontology learning techniques and applications is a growing topic of study that aims to make the process of ontology engineering easier.

Another key purpose for OL is to make it easier to keep ontologies up to current. The assessment of ontologies is an unresolved subject, and numerous innovative techniques have been presented. In the OL field, a variety of methods and tools are being developed.

CONTD...

There is no one approach that will be effective by instead, itself; combination of them is advised based on the a application problem.

Web-scale, open heterogeneous data repositories, social networks, formal languages, and cross-language learning are some of the open research topics connected to ontology learning.

A B O U T TUTORS INDIA With our team of skilled expertise, Tutors India offers algorithm development services to scholars across the world.

Our expert, Computer Science writers reflect handle different methodologies and real-world scenarios in a simplified model. And we also help in building new techniques.

CONTA CT US

UNITED KINGDOM

+44-1143520021 INDIA

+91-4448137070 EMAIL info@tutorsindia.com