Smw+ semantic enterprise wiki en_153

SMW+ - Semantic Enterprise Wiki
SemTech 2011
hansch@ontoprise.de
http://www.smwplus.com

© 2011 ontoprise GmbH Slide 1

About ontoprise GmbH

ontoprise GmbH is a leading company in industry proven semantic infrastructure and
solutions worldwide. ontoprise solutions provide fast contextual access to enterprise
knowledge thus enabling better decisions. They help to increase the technical and
operational efficiency of companies.

Founded: 1999
Team: 75 employees
Location: Germany, Karlsruhe
Focus: - Integrated semantic platform


ontoprise solution portfolio

Service Resolution Management Semantics for SharePoint Semantic Enterprise Wiki
Efficient information exchange with experts Optimized organization of knowledge for Agile collaborative knowledge management.
for interactive fault diagnosis. collaborative processes in MS SharePoint.
Product
Products: SMW +
Products:
SemanticMiner for SP
SemanticGuide SemanticWiki for SP
References:
References: References: Siemens
AVL DiTEST Deutsche Telekom Unesco
GE Energy Sulzer Metco Vulcan Inc.
Heidelberger Druck Voith Hydro
SMA Solar Technology

Semantic Infrastructure
Products: OntoBroker & OntoStudio
Semantic Information Integration Content Discovery
Unlock and aggregate data from multiple Discover hidden knowledge in structured
sources and deliver it in terms your and unstructured data.
business users want and understand. Products
Semantic Content Analytics
Products: SemanticXpress
Semantic Integrator SemanticMiner
References: References:
Audi Roche
Partners HealthCare Service-BW
Johnson & Johnson Swisscom
Vector Informatik


Overview

SMW+ in a nutshell
Why are semantic Wikis better?
Features of SMW+
Related Products
Customers and use cases
Where to get SMW+?


SMW+ in a nutshell

SMW+ is a Semantic Enterprise Wiki
for agile collaboration on rich text and data

It is a Wiki: Platform for web-based collaboration and quick
authoring and provision of content.
It is a database: Users embed data in text that can be retrieved with
powerful data query mechanisms.
It is a data integration tool: Users access data from external databases, web
services or the Semantic Web from within the Wiki.
It is enterprise-ready: Installs in 15 minutes and comes with business-
critical features. Extendible and scalable.


Overview

SMW+ in a nutshell
Precise and powerful querying
Aggregate, visualize and explore data
Integrate and align data
Build situational applications
Features of SMW+
Related Products
Where to get SMW+?


Precise and powerful querying

Semantics allow you to query the wiki like a database
Answer queries such as
What are the 10 largest capitals located in the European Union?
All German universities where a Nobel prize winner lectures?
What Porsche vehicles have an acceleration (0-60) in 7 seconds?
All events at a certain venue within the next 3 months?
All employees having worked abroad for at least 2 years and having
web development skills?
All projects having work packages and tasks that are over-due?
And further complex queries…
Reasoning engine generates new knowledge


Aggregate, visualize and explore data

Semantics allows aggregating and visualizing data
Aggregated data is kept up-to-date and can be explored
interactively


Integrate and align data

Semantic technology allows to integrate data from different
sources and to align it in one single place
A semantic wiki can act as socially curated information hub

Applications

Enterprise systems,
legacy DBs


Build situational applications

SMW+ focuses on specific and evolving needs of a work group
End-users adapt SMW+ while they work with it by:
Extending the data and data-schema
Extending the layout of articles
Attaching data sources
Implementing small programs in wikitext

Typical use cases:
Semantic enterprise content management (e.g. self service portals)
Business intelligence 2.0 (e.g. integration of texts with BI-reports)
Integrated collaborative environments (e.g. project management)
Enterprise systems,
legacy DBs


Overview

SMW+ in a nutshell
Features of SMW+
Authoring and editing
Querying and searching
Organizing and curating
Integrating and exchanging
Related Products
Where to get SMW+?


SMW+ 1.5.3 – WYSIWYG Editor

Easily format rich text, create tables and embed images and
templates


SMW+ 1.5.3 – Semantic Toolbar

Easily inspect, create and alter the semantic annotations of a wiki
article.


SMW+ 1.5.3 – Automatic Semantic Forms

Data entry forms are created on the fly from the ontology
and always kept up-to-date.


SMW+ 1.5.3 – Faceted Browser

Faceted Search: Drill down along model
dimensions


SMW+ 1.5.3 – Query Interface

compose semantic queries easily via a GUI
instant preview and layout of results via different result formats
various result printers:
vCard, iCalendar, pie and bar charts,
basic math functions,
timeline, maps, exhibit,
rss, csv


SMW+ 1.5.3 – Tabular Forms

Change values directly in result tables generated by inline
queries plus easy adding of further data to the table


SMW+ 1.5.3 – Ontology Browser

gives an overview of the
wiki's ontology and
knowledge base
users can navigate through
the category and property
hierarchy and inspect
instances and their
properties
administrators can change
the ontology, e.g. by adding
and renaming categories or
deleting instances


SMW+ 1.5.3 – Administration Tool

Install new extensions, upgrade or de-install in the
Administration Tool.


Overview

SMW+ in a nutshell
Features of SMW+
Related products
SMW+ Extension Suite
Semantic Data Integration with TripleStore prof.
TripleStore basic
Microsoft Connectors
Where to get SMW+?


SMW+ Extension Suite

Starts small - grows with use: SMW+ installations are easily extended
by special purpose extensions.

Usability: extensions for the efficient
usage of Wiki- and semantic features
Retrieval: extensions to retrieve
fulltext and data
Data Processing: extensions for
formulating relationships in the Wiki
Re-use and Consistency: extensions to
embed legacy and web service data
Security: fine grained access rights to
semantic data and content.


Semantic Data Integration with TripleStore professional 1.5.3

SMW+ gives access to integrated data from
heterogeneous data sources

Benefits:
Consolidated view on data: The wiki provides an integrated view on the data using a common
ontology. Semantic queries enable dynamic, customized views.
Flexible handling of data and Legacy data can be complemented with socially curated data in
models: the wiki. Data models of the integrated data can be extended
easily in the wiki as needed.
Support for collaboration Legacy data, views on legacy data and socially curated data can
be embedded into wiki articles. This helps teams to collaborate,
discuss and built consensus on it.
Flexible workflows: The wiki is an emergent tool that can be easily adjusted to
situational requirements with respect to capturing, displaying and
processing data.
Generate new knowledge: Implicit knowledge can be exploited with logical rules gaining new
insights. The wiki can handle and display inferenced knowledge.


Semantic Data Integration with TripleStore professional 1.5.3

TripleStore Professional
High-end wiki ontology curation and Semantic
Data Integration

Integration of heterogeneous data
silos and inferencing on this data
High-end ontology engineering tools
provided by OntoStudio
Visual editing of complex rules and
federated semantic queries


TripleStore basic 1.5.3

TripleStore Basic
Storing and retrieving of RDF data using SMW+ with Jena

Advanced querying – query semantic data within the
wiki using SPARQL
Advanced inferencing – process user defined rules
GUI support (Rule Knowledge extension)
pre-defined rules (inverse, symmetric and transitive)
user-defined rules (e.g. calculation-, property
chaining- and definition-rules)


Microsoft Connectors

Microsoft Project Connector
Import project data from the Wiki in MS Project.

Microsoft Excel Connector
Import arbitrary data from the Wiki in MS Excel.

Microsoft Office Connector
Import data into MS Word and MS Outlook.


Microsoft Project Connector

Synchronize projects, tasks and assigned resources in SMW+ and
MS Project


Microsoft Excel Connector

query the semantic data in SMW+ and import the results in Excel
spreadsheets


Microsoft Office Connector

leverages SmartTags to bring
semantic wiki content into MS
Office applications (Outlook, Word
and Excel) on demand
recognizes smartly relevant
keywords or phrases
provides context specific
information and actions


Overview

SMW+ in a nutshell
Features of SMW+
Related Products
Where to get SMW+?



Some users1 of SMW+:

more at:
http://smwforum.ontoprise.com/smwforum/index.php/Applications

1) Reference users of SMW + or the Halo extensions


Use Case: Unesco/IOC

online encyclopedia and
training center about marine
data and oceanic knowledge
authors create teaching
materials in private sections,
and get them reviewed by
editors before they are
published
target-appropriated
presentation of learning
contents based on semantic
metadata


Use Case: Siemens

SMW+ as knowledge platform for
Communities of Practice
captures structured knowledge
about projects, persons, topics,
organizations etc.
discover experts and related
resources for a certain topic
flexible navigation, semantic
search and multiple entrance
points
dynamic aggregations
(e.g. lists of projects)


Use Case: Siemens


Use Case: Fortune 100 pharma company

Internal self service portal for R&D
staff
Integration of DBs via OntoBroker
(mapped into one ontology)
containing information about
production lots, ingredients of
individual products, results from
tolerance tests, etc.
ability to track the genealogy of
each brand
generate reports for R&D via
querying integrated databases
usage of rules for inferring
knowledge


Use Case: PNNL

wiki for storing, retrieving,
reviewing and annotating
documents
collaborative environment for
sharing and discussing these
materials with team members
integrated techniques to
discover new, related
information for social and
traditional media
integration with an NLP
framework to automatically
annotate contents


Use Case: 3M

wiki for facilitating
collaboration among users and
developers of health care
terminologies
crowd-sourcing of curating
medical terminologies and
ontologies
formal representation of
medical terminologies for re-
use in other healthcare IT
systems
http://www.concepthub.org


Use Case: Pfizer

internal self service portal
for R&D staff to monitor
own patents and patents
from competitors
integration of external
sources containing
patent-relevant
information
relevant patents are
detected by queries


Use Case: Banca Romagna Cooperativa

Business Process Reengineering project involving
task surveys, analysis and process consolidation
Conducting task surveys in SMW+ for collecting
data and descriptions on tasks
Tasks were described with properties (e.g.
owner, duration, risk level) for selecting the most
critical processes in a business impact analysis
Dashboards providing dynamic views on the
collected data based on semantic queries
Further insights were gained by exporting and
processing the data in MS Excel and MS Access
for advanced statistical analysis (like clustering)
Standardized procedures of the tasks were
developed collaboratively in the wiki


Use Case: Banca Romagna Cooperativa


Overview

SMW+ in a nutshell
Features of SMW+
Related Products
Where to get SMW+?


Where to get SMW+

get your copy of SMW+ within 5 minutes!

Product home page: http://www.smwplus.com

Daniel Hansch
Email: hansch@ontoprise.de
Web: http://www.ontoprise.com


Thank you for your attention!
For further questions please
visit our webpage or contact us:

Daniel Hansch
Max Mustermann
Email: mustermann@ontoprise.de
Email: hansch@ontoprise.de


Backup

more Features of SMW+


Features: Access Control

protect individual pages, pages
within categories and
namespaces, and property
values
restrict access for single users
or entire groups
every user can easily protect
his own articles
GUI for convenient
administering of rights
attach external LDAP system
for re-using users and groups


Features: Data Import

import data from
external data sources
(e.g. existing vocabularies
or terms)
integrate live data via
web services (e.g.
connecting legacy
systems or web
applications)
GUI for easily creating
web service calls


Features: Rule Knowledge and SPARQL

infer implicit knowledge via transitive, inverse, symmetric
properties and user-defined rules (with a connected triple store)
create user-defined rules via a graphical rule editor
supports calculation, definition and property chaining rules
powerful SPARQL queries in the wiki (with a connected triple
store)


Smw+ semantic enterprise wiki en_153

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