1 / 11

Ontology : the challenging tool for Web based Information Retrieval System

Ontology : the challenging tool for Web based Information Retrieval System. Tulima Dey And Md Ajimuddin Sk tulima73@yahoo.co.in. What is Information retrieval. Information retrieval deals with access to information as well as its presentation, storage and organization

coye
Download Presentation

Ontology : the challenging tool for Web based Information Retrieval System

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Ontology : the challenging tool for Web based Information Retrieval System TulimaDey And MdAjimuddinSk tulima73@yahoo.co.in

  2. What is Information retrieval • Information retrieval deals with access to information as well as its presentation, storage and organization • Information retrieval process is to retrieve the information relevant to a given request.

  3. What is Ontology? • Ontology is a formal, explicit specification of a shared conceptualization of a domain of interest. Where conceptualization is an abstract, simplified view of the world that we wish to represent for some purpose. • Ontology has set out to overcome the problem of implicit and hidden knowledge by making the conceptualization of a domain explicit. Any knowledge – based system or any knowledge- level agent is liable to some conceptualization, explicitly or implicitly.

  4. TYPES OF ONTOLOGY • Domain ontology : Domain specific ontology ( Domain ontology)is a specific domain model which represents parts of the world. • Upper ontology: An upper ontology is a model for the common objects, applicable to larger scale of domain ontologies.

  5. ONTOLOGY LANGUAGES: • OWL ( Web Ontology Language ) : created on the base of RDF ( Resource Description Framework) and have a capabilities to define more sophisticated semantics. The three sub languages of OWL are OWL Lite OWL Full OWL DL

  6. ONTOLOGY LANGUAGES: • OIL (Ontology Inference Layer)is a language which describing term meaning on semantics. • SHOE ( Simple HTML Ontology Extensions) it is used for extension of HTML tags for incorporating semantic knowledge into documents.

  7. ONTOLOGY LANGUAGES: • OML ( Ontology Markup Languages) and CKML ( Conceptual Knowledge Markup Languages)developed SHOE to XML with conceptual Graphs. • DOGMA ( Developing Ontology ) : adopts the fact –oriented model with higher level of semantic stability.

  8. CHARACTERISTICS OF ONTOLOGY • A well defined syntax – necessary for machine processing of information. • A formal semantics-a pre-requisite for reasoning support: it formally specifies class membership, equivalence of classes, consistency and classification. • Convenience of expression • Efficient reasoning support • Sufficient expressive power.

  9. Features of ontology • Provides a controlled vocabulary • Supports site organization and management. • Supports expectation setting • May be used to support sense disambiguation • May be used for consistency checking • May be used to augment the information obtained by the user/ application • Provides support for interoperability among systems by using shared vocabulary • May be used to support validation and verification of data.

  10. Semantic web and ontology • Semantic web support multidimensional searching through rich domain ontology. • Unlike conventional web site, semantic web allow for bottom –up evolution and decentralized updates. • Information structure id controlled by an ontology and is machine processable. • It is possible to have multiple aggregations and views of the same data. • Data can be published in reusable forms for incorporation in multiple portals.

  11. THANK YOU

More Related