Arembis HyperLogic Intranet Search partnering with

1. Arembis HyperLogic Intranet Search partnering with

2. Session id: 40185 Improving Intranet Search with theArembisHyperLogic Engine built on OracleDatabase-Backed Technology Arembis Arembis

3. Agenda • Issues with Enterprise Search • Oracle’s products behind the Arembis engine • Infrastructure: Oracle Text • Solution: Oracle Ultra Search • Looking into the details • Overview of main features • Conclusions Arembis

4. Current Problems with Intranet Search • Enterprise Intranet is very different from typical Internet websites • Users are different • Tasks are different • Amount and quality of information are different • Searching is also different Arembis

5. Main Issues with Intranet Search • Multiple repositories • Different data sources (websites, files, email, etc.) • Performance • Sub-second query respond time needed - not minutes • Quality • Precise search results not thousands of irrelevant stuff • Ease of Use • One single search engine not an engine per data source • Bad search is very easy to do • Good search is very difficult Arembis

6. What is a Bad Search? • No search box • Too many hits • Return 10,000 hits when the average user looks at the top 10 only • The most relevant item is not at the top of the list • Bad scoring • Too many similar documents • Poor duplicate detection • Inability to judge user intent • No misspelling interpretation • No context disambiguation (cricket the game or cricket the bug?) • No recommendation system Arembis

7. What is a Bad Search (Cont.) • Inability to understand why a document has been returned • No KWIC • Lack of categorization • Similar documents in the same list • Documents change behind your back • No cache • Meta information • Size, format, date, feedback, etc. Arembis

8. Some Examples - I Where is the search box? Arembis

9. Some Examples – II “ultra seek” or “ultraseek”?

10. Some Examples - III Looking for “k-means” in lotus.com

11. Oracle Products behind the Arembis Search Technology • Oracle Text • Complete API for building any type of search application • Features range from basic keyword searching to advanced techniques like classification and information visualization • Oracle Ultra Search • Out-of-the-box solution that requires minimal coding • Searches across OCS components, websites, databases, files, email, and Portals, provided OCS already implemented • Built on top of the Arembis-enhanced Oracle Text Arembis

12. The Arembis-Oracle Solution Looking into the details • Quality • Performance • Ease of Use • Personalization • Advanced features • Classification and visualization Arembis

13. Quality • Link awareness • Popular pages and hubs • Website structure • Page structure • Duplicate elimination • Remove URLs with duplicate or near duplicate content • Spelling correction • Component that uses a dictionary and data from query logs • Did you mean …? • KWIC (Key Word In Context) • Highlights relevant parts of the document • No need to open the URL if it doesn’t look relevant Arembis

14. Performance • Oracle Text enhanced by Arembis integrates with and benefits from features like • Data partitioning • RAC • Query optimization • Common and rare queries • Small index on URL and title for common queries • Large index on document content for rare queries • Query Relaxation • Enables user to execute most restrictive query first • Then relaxes the search Arembis

15. Ease of Use • Users want a simple and easy to use search interface • Hide all the complexity and expose simple interface • Ultra Search enhanced by Arembis • Three search modes - all from one search box • Precision: focused results from editor-selected data -shown at top of page - the precision power of Arembis • Basic: simple search where results are sorted by relevance • Advanced: interface with more options where user has more control over the collection Arembis

16. Ease of Use (Cont.) Arembis

17. Personalization • Know user search patterns • What do they search? • When do they search? • Search query log analysis • Which queries were made? • Which queries were successful? • How many times was each query made? Arembis

18. Advanced Features • Classification • Supervised classification of content • Two ways: rules or training sets • You can group a number of categories into a taxonomy • Very useful for defining a common vocabulary in an enterprise • Clustering - ONLY for sites with Oracle Infrastructure in place • Unsupervised classification of patterns into groups • The engine analyzes the document collection and outputs a set of clusters with documents on it • Very useful for discovering patterns or nuggets in collections • Could be used as a starting point when there is no taxonomy present Arembis

19. Advanced Features (Cont.) • Information Visualization • Very useful for • Navigation through large data sets • Discover relationships and associations between items • Focus + context tasks • Number of visualizations available • StretchViewer • Interactive Viewer (ThemeMap, Cluster visualization) • Integration with third party vendors Arembis

20. Conclusions • Search is hitting a plateau • Bad search is easy to implement, good search is difficult • Correcting deficiencies • Quality, performance, and other features help • Moving to the next level • Classification and clustering • Text mining • Information Visualization • Content structure aware • Oracle Database 9i or 10g provides the complete solution for enterprise search turbo-charged by the precision Arembis HyperLogicengine, integrating: • Oracle Text: complete API where you have total control • Ultra Search: out-of-the-box solution that requires little coding Arembis

21. Links • Oracle Text page http://otn.oracle.com/products/text • Ultra Search page http://otn.oracle.com/products/ultrasearch • Java library for Text visualization http://otn.oracle.com/software/products/workspace_mgr/text_visualizer.html • Arembis http://www.Arembis.com Arembis

22. Arembis+Oracle A Powerful Partnership Q & Q U E S T I O N S A N S W E R S A Arembis

23. Arembis