Enterprise data Architecture and
its application in social networks
1. Enterprise architecture as a whole
2. The business benefit from the social networking
3. The architecture for the social network
4. Social-network data analysis
Why we need Enterprise
Architecture?
 1 IT can help us Managing the IT change and the
individuals and teams involved
 2. It helps tailoring the transformation using a formal
but adaptive process that is based on your unique
starting point of staff skills, project mix, business
priorities and challenges.
 3 Align the technology planning with business strategy
The Component of Enterprise
Architecture
 Business Architecture The function of the business architecture is to
clarify, elaborate, and illuminate the business model (how an
organization creates value) to create new insight and perspective.
Identify opportunities, and provide a foundation for creating a cohesive
business operating model. providing a business-focused design
foundation for an ongoing stream of business technology solution
delivery.
 Data Architecture (Info Architecture, ) Most strategically, data
architecture defines data and data relationships (structured and
unstructured) to facilitate analyses that feed business strategy and
optimization decisions (e.g., through data warehousing and BI
applications)
 Application architecture--It begins with the identification of the
applications needed to support the business and carries through to the
design and construction (or acquisition) as well as the integration of
applications.
What is Enterprise Data
Architecture Responsible for?
 An EDA is responsible for providing a consistent strategy
for
 conceptually,
 logically, and
 physically governing (i.e., uniquely defining and
organizing) the data that defines an enterprise
 An EDA is foundational to an enterprise IT architecture
Infrastructure architecture and
whole structure.
It in the scope of IT operation ,covers all the
supporting IT elements that the organization
must operate on a day-to-day basis, the tools
and processes to monitor and manage them.
The importance of the social
media to the business
 25% of small business owners plan to spend more on
social networking in 2010( Ad-ology Small Business
Marketing Forecast).
 Facebook was ranked as the most beneficial social
network for small businesses, followed by LinkedIn and
Twitter.
 Leverage it with an effective business social media
strategy.
Social network-evolutionary
shared knowledge architecture
 Architecture defined capability to collect ,discover ,represent
,relate, and reason about the knowledge.
 it supports dynamic coordination and social use of knowledge
resource relevant to missions
 Social networking architecture enables evolution of
community knowledge
 Knowledge is dynamic and evolves with human experience
and social networks.
 An overarching knowledge perspective is required across all
architecture views
Manage the enterprise data from
the Semantic prospective.
 Enterprise Data Management
 To better understanding & document the data
 To develop externally facing enterprise data
management architectures
 To “structure” unstructured data
 To refocus data management on “Facts” (semantic
relationships )
 To maintain a more meaningful dialog with the business
associates
Semantic interaction leading to social knowledge
evolution
Sematic technology standard/
recommendations
 SPARQL – SPARQL Protocol And RDF Query Language
 SPARQL can be used to express queries across diverse data sources,
whether the data is stored natively as RDF or viewed as RDF via
middleware
 SPARQL contains capabilities for querying required and optional
graph patterns along with their conjunction and disjunctions
 RDF – Resource Description Framework
 RDF is a directed, labeled graph data format for representing
information in the Web
 GRDDL – Gleaning Resource Descriptions from Dialects of
Languages
 GRDDL introduces markup based on existing standards for declaring
that an XML document included data compatible with RDF and for
linking to algorithms (typically represented in in XSLT) for
extracting this data from the document
11
Relational To Ontology Mapping (Example)
Pathological
Change
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Property
Pathological
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has
inhibits
inhibits
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Compartmen
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Prepared by William J. Pjura for Enterprise Data World 2011; Unauthorized copying/use not allowed
How can it benefit?
 1. A shared knowledge architecture perspective ensures
consistent semantic interoperability
 2. A semantic interaction model is define to assist in the
analysis and development of semantically consistent
architecture interactions
Analysis the social network from
architecture prospective?
 1 analysis the data management
The Analysis Data Management collects the transactional data
from the system that manages the Social Network, like an
Enterprise 2.0 system,
2 analysis the computation
The Analytics Computation is the set of all analytics queries
(algorithms) that are executed on a consistent data set.
These algorithms can be of various types, can run quickly or take
up significant time, and independent as well as dependent on
each other (to avoid re-computation of already available data).
The SNA lifecycle
 The overall life cycle of Social Network Analysis (SNA) starts with collecting the
data updates coming from production systems:
 Phase 1: Data Collection. This phase is an ongoing phase in the sense that the
stream of data from the production systems is continuous and the SNA system
needs to ensure that all incoming data are reliably stored (independent of the
arrival rate).
 Phase 2: Data Preparation. This phase prepares a snapshot of the collected
production data. The snapshot is the basis for a complete execution of the various
analytics queries. Since all analytics queries are run on the same snapshot, the
outcome of each of the analysis is consistent with respect to each other.
 Phase 3: Analysis Execution. As soon as the snapshot is made available, the
analysis starts and executes all analytics queries completely.
 Phase 4: Result Finalization. After the analysis execution phase the results are
made available to the user interface for end users and analysts to examine the
analysis results.
Social network analysis life cycle
Thanks for your attention!!!