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A Hybrid Approach for Searching in the Semantic Web

A Hybrid Approach for Searching in the Semantic Web. P.Raja 07MW06 Final Yr ME-Software Engg. Guide: Dr . S. N. Sivanandam Dept of Computer science & Engg. Outline. Introduction Proposal Weight Mapping Hybrid Spread Activation Implementation Architecture. INTRODUCTION.

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A Hybrid Approach for Searching in the Semantic Web

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  1. A Hybrid Approach for Searching in the Semantic Web P.Raja 07MW06 Final Yr ME-Software Engg. Guide: Dr. S. N. Sivanandam Dept of Computer science & Engg

  2. Outline • Introduction • Proposal • Weight Mapping • Hybrid Spread Activation • Implementation Architecture

  3. INTRODUCTION • Limitations of traditional search • Based on keyword processing • Relevancy • Semantic Search • The Semantic Search uses well-defined meaning given to information on the Semantic Web to augment traditional Information Retrieval (IR) • Improve Relevancy • Tools used for semantic search • XML • RDF • OWL

  4. Introduction(conti…) Example

  5. Proposal

  6. Weight Mapping • Numerical values are assigned to each relation in the semantic network. • Cluster Measure • Result: Hybrid Instances network • Each relation instance has both a semantic label and numerical weigh Hybrid Spread Activation • Input: Activation value of initial sets of nodes • Initial nodes placed in priority queue. Nodes processed according to highest activation values. • Current node propagates activation to neighbors. • Neighbors that are activated are added to the priority queue. • Processed nodes are placed in results list.

  7. Hybrid Spread Activation(conti…) • Process repeated until defined state is reached or there are no more nodes in the priority queue. • Result Set: Processed Nodes ordered by their activation values. Constrained Spread Activation: • Concept type constraint: This constraint is used when the activation must not propagate through nodes of a given concept type. • Distance constraint: The spread of activation should cease when it reaches nodes that are more than a given distance from the initial set of nodes.

  8. Implementation Architecture

  9. Semantic Instance Graph PUBLICATION Introduction to web services Is related to Relates to AREA Semantic web writes Is written by Researchedby PROFESSOR sakthi writes PUBLICATION Semantic web concepts Researches in Is written by Is advised by writes Is written by advices STUDENT sakthi PROFESSOR sankar

  10. Hybrid Instance Graph PUBLICATION Introduction to web services 5.6 Is related to 3.6 Relates to AREA Semantic web writes Is written by 3.2 4.3 Researchedby 2.0 4.9 PROFESSOR sakthi writes PUBLICATION Semantic web concepts Researches in 4.8 Is written by 5.3 5.1 Is advised by writes Is written by 4.5 advices 2.5 6.8 STUDENT sakthi PROFESSOR sankar

  11. Modules • Traditional search - status • Generation of RDF from ontology • Weight mapping • Spread activation – completed 1 level

  12. extensions • Ontology updation • Key word ranking using hadoop • Proposing new data structures for searching.

  13. Sample screen shotsRDF Graph

  14. Traditional Search

  15. References • Crestani, F. Application of Spreading Activation Techniques in Information Retrieval. Artificial Intelligence Review,11(6): 453-482, 1997. • Froogle. http://froogle.google.com • Yates, B., and Neto, B. Modern Information Retrieval. ACM Press, New York, USA, 1999.

  16. Thank you

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