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Service-based architecture for personalized and adaptive access to the knowledge in digital library Desislava Paneva Institute of Mathematics and Informatics.

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Presentation on theme: "Service-based architecture for personalized and adaptive access to the knowledge in digital library Desislava Paneva Institute of Mathematics and Informatics."— Presentation transcript:

1 Service-based architecture for personalized and adaptive access to the knowledge in digital library Desislava Paneva Institute of Mathematics and Informatics Bulgarian Academy of Sciences International Conference on Mathematical and Computational Linguistics "30 years Department of Mathematical Linguistics" 06 July 2007, Sofia, Bulgaria

2 Presentation overview User modelling User ontology Abstract model for realization of personalized and adaptive logic in digital library Architecture for personalized and adaptive access to the knowledge in digital library –Main objects and repositories –Main functional modules

3 User modelling User modelling can be defined as the process of acquiring knowledge about the user in order to provide services, adaptive and personalized information flow/s following its specific requirements in the DL domain. Main questions: User interests: What is the user interested in? What needs to be done or accomplished? User preferences: How is something done or accomplished? User goals and intents: What the user actually wants to achieve? User motivation: What is the force that drives the user to be engaged in observation activities? User experience: What is the user’s previous experience that may have an impact? User activities: What the user does in the DL environment? ….

4 User ontology (1/2) Figure 1: Main classes in the user ontology. The grey rectangles depict some individuals of the classes. Used standards: - IEEE PAPI - IMS LIP The user ontology contains: - 40 concepts - 52 properties

5 User ontology (2/2) Figure 2: Main classes and properties relating the class ‘User’ with the classes ‘Motivation’ and ‘Preference’ in the user ontology.

6 Abstract model Figure 3: Abstract model for realization of personalized and adaptive logic in a digital library

7 Architecture Main objects –digital objects –user profiles –scenarios/instructions Main repositories –digital objects repository –user profiles repository –scenarios/instructions repository (optional)

8 Architecture – main functional modules (1/8) Service managing the activities with the user profiles (M1)Service managing the activities with the user profiles (M1) –user ontology management (M1.1) –personal profiles creation (M1.2) –cataloging the user personal profiles (M1.3) –management of the ontological metadata (M1.4)

9 Architecture – main functional modules (2/8) Service for creation of personalized and adaptive information flow (M2)Service for creation of personalized and adaptive information flow (M2) It uses: –User profile metadata –Preliminary formulated scenarios/instructions for creation of personalized and adaptive information flow using DL objects

10 Architecture – main functional modules (3/8) Sub-modules for –displaying personalized content according to the preliminary user knowledge level (M2.1). –for tracking the rubrics: interests and cognitive goals of the user profile and delivering on demand recommended by the system digital objects and knowledge for observation from the required by the user thematic areas (M2.2a). –notifying the user when new objects, covering their interests and cognitive goals, are included (M2.2b).

11 Architecture – main functional modules (4/8) Sub-modules for –displaying personalized content according to the user object observation style (M2.3). –displaying personalized content according to the user object grouping style dynamic generation and visualization of collections of digital objects grouped by one main grouping criterion, chosen by the user. (M2.4a). for displaying of additional digital objects, grouped according to several criteria, chosen by the user during a search process (M2.4b).

12 Architecture – main functional modules (5/8) Sub-modules for –displaying personalized content in language preferred by the user (M2.5). –searching, extracting and displaying user preferred objects conformable to user’s physical limitations (M2.6). –choosing and displaying the most suitable versions/formats of the digital objects according to the used DL content delivery channels (M2.7).

13 Architecture – main functional modules (6/8) Figure 4: Service for creation of personalized and adaptive information flow and its sub-modules.

14 Architecture – main functional modules (7/8) Service tracing the user behaviour in the DL system (M3)Service tracing the user behaviour in the DL system (M3) Sub-module tracking and saving – objects chosen by the user (M3.1) – collections chosen by the user (M3.2) – object observation path (M3.3) – object observation time (M3.4) in order to recommend objects satisfying user needs and interests.

15 Architecture – main functional modules (8/8) Service tracing the user behaviour in the system (M3)Service tracing the user behaviour in the system (M3) Sub-module, tracking and saving the competence level in the thematic areas of the digital library in order to recommend to recommend more detailed or more simple objects for observation (M3.5).


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