A semantic-based architecture for managing knowledge-intensive organizations: the ARISTOTELE platform

A SEMANTIC-BASED ARCHITECTURE FOR
MANAGING KNOWLEDGE-INTENSIVE
ORGANIZATIONS:
THE ARISTOTELE PLATFORM
P. Del Nostro, F. Orciuoli, S. Paolozzi, P. Ritrovato, D. Toti
Stefano Paolozzi
Centro di Matematica Pura e Applicata - CRMPA
University of Salerno, Italy
ESE 2012, Paphos, November 28th, 2012
ARISTOTELE Project - http://www.aristotele-ip.eu

Outline
 ARISTOTELE Project
 Overview of the architecture
 Tools
 Services
 Data
 Linked Data Layer (LDL)
 Models for the representation of the knowledge-
intensive enterprise
 Conclusion
Stefano Paolozzi - ESE 2012, Paphos, November 28th, 2012
2

ARISTOTELE Project
 Personalized Learning & Collaborative Working
Environments Fostering Social Creativity and Innovations
Inside the Organizations
 Integrated Project (IP) co-funded by the European
Commission FP7
 Theme ICT-2009.4.2, Technology Enhanced Learning,
Grant Agreement no. 257886
 8 partners from 4 European countries
 4 Academics
 2 Industrials
 2 Pilots
3

ARISTOTELE Project
 Objectives
 To develop models, methodologies, technologies and tools to
support the development of competencies and
creativity by self-organizing, acquiring, processing and
sharing of information and knowledge inside the enterprise
 To support the day-by-day activities of the knowledge
workers (Reinhardt et al. 2011)
 Target
 Medium-large “knowledge-intensive” enterprise
4

ARISTOTELE Platform
 A designed and integrated set of online services that
provide workers, managers and trainers with tools and
resources to support and enhance the emergence of
their competences and creativity
5

Overview of the platform
 Information Space
 structured and un-structured data (i.e.
Web pages, databases, documents,
etc.)
 Semantics
 Services
 Business logic, Data access
 Composable
 Tools
 Interface for the final users
 Composable
 External application integration
6

Building blocks
7

Tools
 Tools build up the presentation layer
 provide a set of conceptually-related functionalities
in order to help worker activities.
8

Personal Working and Learning
Environment (PWLE)
 Purpose
 assisting the knowledge worker in his/her daily working
activities, by acting as a methodological and
technological integrator for most of the other tools
 supports learning and knowledge activities, connects
workers with each other, and contributes to the
organizational knowledge
9

Learning Experience Generation(LEG)
 Purpose
 provides workers with suitable contents and didactic
approaches
 generates, adapts and manages personalized learning
experiences tailored to the organizational objectives.
10

Human Resource Management (HRM)
 Purpose
 supporting competence gap analysis
 supporting team and group formation
 supporting competence development for internal
resources, and recruitment
11

Social Collaboration and Networking (CN)
 Purpose
 exploits methodologies and techniques to combine
adaptive learning strategies with non-adaptive
emergent competence change, based on serendipitous
exploitation of other people's knowledge made
available in social networks
12

Knowledge Management (KM)
 Purpose
 providing a set of tools a set of tools which support
organizational knowledge building and maintenance
(merging, matching, versioning) in a (semi)automatic
way
13

Services
 Architecture design inspired by SOA principles
 Standardized interface (platform independent)
 Loose Coupling
 Discoverability
 Composability
 Abstraction
 Reusability
14

Services
 Base Services
 User Authentication
 User Profile Services
 Business Connectivity Services
15

Core Services
 Knowledge Management System Service
 Knowledge Extraction
 Knowledge Building
16

Core Services
 Linked Data Layer (LDL)
 enables data access for tools and other services
 provides the aggregation of information distributed
over heterogeneous sources
17

Core Services
 Recommender System
 provides information filtering in order to recommend
information items that are likely to be of interest to ta worker.
18

Core Services
 Social Networking
 provides information filtering in order to recommend
information items that are likely to be of interest to ta worker.
19

Data
 Heterogeneous information
 RDBMS
 Sharepoint contents
 RDF/OWL repositories
 3 «kinds» of data
 Content Data
 Semantic Data
 Business Data
20

Business Data
 Data managed by the tools are built by merging
information from content and semantic data into
classes
 these sets of classes are called Business Entities
 A Business Entity has the role of decoupling the
communication and the management of data at a
business level from the nature of the actual data
sources.
21

Business Entities
Data
Content Data Semantic Data
Business Data
Service
Tool
BE
BE
Service Service
BE BE
BE
SPContentType
Content Data
AR-Models
Semantic Data
Business Entities
Business Data
GOAL
• GUID
• Title
• Description
• DateFrom
• DateTo
GOAL
• URI
• Title
• Description
GOAL
• URI
• GUID
• Title
• Description
• DateFrom
• DateToXMLMapping
SP2BE
XMLMapping
RDF2BE
22

Linked Data Layer
LinkedDataLayer
Content Data Semantic Data
BE
Open Linked DataURI: http://.../actualresource
24

External Data ARISTOTELE
Migration from external applications
Content
Data
BE
Semantic Data
LDL
Unstructured Data
Data adapter
Structured
Data
KMSS
25

Models for Knowledge-Intensive
Enterprises
 Four semantic models representing
 the knowledge domains
 the personal worker’s competences and profiles
(including knowledge, skill, attitudes, and preferences)
 the enterprise knowledge including objectives and skills
(concerning learning and businesses activities)
 the context and the didactical approaches
26

Enterprises
 Well-known semantic technologies integration
27

Enterprises
 Knowledge Model
 Knowledge concerning enterprise assets
 strategies, processes, activities, documentation, and, in
general, all the output generated by workers
 Knowledge concerning organization-specific information
 lightweight ontologies meant to provide a shared
classification of the organization's resources and entities
 Knowledge concerning training
 Representation of the educational domain that may be
exploited by a company
28

Enterprises
 Competence Model
 Competence descriptions in terms of Knowledge, Skills
and Attitudes (KSA)
 competences of a worker and the evidence of their
acquisition
 competences needed to fulfill a particular role/job (job
description)
29

Enterprises
 Worker Model
 representation of workers inside their organization,
including
 personal information
 social activities and relationships
 learning preferences and needs
 Working activities and involvements
30

Enterprises
 Learning Experience Model
 provides a representation of the elements required to
support the generation of personalized learning
experiences
31

Conclusion
 Conceptual Models for representing semantic
information in the enterprise
 Implementation of a semantic platform for enterprise
management (tool & services)
 Architecture based on SOA principles
 Linked Data Layer to manage the knowledge thus
represented and make it accessible by both the
internal components and external tools
 TODO
 Experimentation
32

THANKS FOR YOUR
ATTENTION !!!
ARISTOTELE Project
http://www.aristotele-ip.eu
paolozzi@crmpa.itContacts:

A semantic-based architecture for managing knowledge-intensive organizations: the ARISTOTELE platform

Recommended

Recommended

More Related Content

Similar to A semantic-based architecture for managing knowledge-intensive organizations: the ARISTOTELE platform

Similar to A semantic-based architecture for managing knowledge-intensive organizations: the ARISTOTELE platform (20)

More from ARISTOTELE

More from ARISTOTELE (9)

Recently uploaded

Recently uploaded (20)

A semantic-based architecture for managing knowledge-intensive organizations: the ARISTOTELE platform