Presentation is loading. Please wait.

Presentation is loading. Please wait.

HyKSS: A Multiple Ontology Approach to Hybrid Search Andrew Zitzelberger Brigham Young University MS Thesis Proposal.

Similar presentations


Presentation on theme: "HyKSS: A Multiple Ontology Approach to Hybrid Search Andrew Zitzelberger Brigham Young University MS Thesis Proposal."— Presentation transcript:

1 HyKSS: A Multiple Ontology Approach to Hybrid Search Andrew Zitzelberger Brigham Young University MS Thesis Proposal

2 Keyword Limitations 2

3 Semantic Search 3

4 4 over 18,000 feet high faster than 100 mph less than 100K miles

5 HyKSS: Hybrid Keyword and Semantic Search Combine separate keyword and semantic search Semi-automatically extract semantic annotations Query over multiple conceptual models 5

6 Thesis Statement HyKSS outperforms keyword and semantic search allows queries over multiple ontologies allows pay-as-you-go improvement 6

7 Architecture 7

8 Extraction Ontologies 8

9 Data Frames 9

10 10 Keyword Query Processing Step 1: Remove Constraints red honda “no dings” orem under 14 grand Regular Expression under (\d{0,2} grand|…) over (\d{0,2} grand|…) newer than ((19|20)\d{2}|…) older than ((19|20)\d{2}|…) … … … … …

11 11 Keyword Query Processing Step 2: Score Documents red honda “no dings” orem VSM based approach from Lucene DocumentredHondano dingsoremScore 112010.79 212110.85 302110.80 401010.41 522120.89

12 12 Semantic Query Processing Step 1: Score Ontologies red honda “no dings” orem under 14 grand Match Score: 3Match Score: 1

13 13 Semantic Query Processing Step 2: Score Ontology Sets red honda “no dings” orem under 14 grand Make : honda Color: red Price: <14000 Make : honda Price: <14000 City: orem City: orem Color: red Color: red Match Score: 4 Match Score: 2 Car Clothing Location

14 14 Semantic Query Processing Step 3: Score Documents Make : honda Price: <14000 City: orem Color: red DocumentCar.MakeCar.ColorCar.PriceLocation.CityScore 1hondared2700orem4 2hondared5000orem4 3honda2350orem3 4honda3500spanish fork1 5hondared17500orem2 Location Car

15 15 Query Processing: Combine Scores DocumentKeyword ScoreOntology Match Score Document Match Score Final Score 10.793/3 = 1.004/4 = 1.000.90 20.853/3 = 1.004/4 = 1.000.93 30.803/3 = 1.003/4 = 0.750.84 40.413/3 = 1.001/4 = 0.250.52 50.893/3 = 1.002/4 = 0.500.82

16 16 Displaying Results

17 17 Advanced Search Form based interface Allows negations and disjuncts

18 18 Pay-as-you-go Iterative improvement Customizable ontology library Add, remove, modify Re-extract and index

19 19 Validation

20 Conclusions HyKSS - Hybrid Keyword and Semantic Search system Improves mean average precision Query over multiple ontologies Pay-as-you-go improvements 20


Download ppt "HyKSS: A Multiple Ontology Approach to Hybrid Search Andrew Zitzelberger Brigham Young University MS Thesis Proposal."

Similar presentations


Ads by Google