Smw+ semantic enterprise wiki en_153

Slide 1© 2011 ontoprise GmbH

SMW+ - Semantic Enterprise Wiki

SemTech 2011

[email protected]

http://www.smwplus.com


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


Semantic InfrastructureProducts: OntoBroker & OntoStudio

Semantic InfrastructureProducts: OntoBroker & OntoStudio

ontoprise solution portfolio

Service Resolution ManagementEfficient information exchange with experts

for interactive fault diagnosis.

Products:

� SemanticGuide

References:

� AVL DiTEST

� GE Energy

� Heidelberger Druck

� SMA Solar Technology

Semantics for SharePointOptimized organization of knowledge for

collaborative processes in MS SharePoint.

Products:

� SemanticMiner for SP

� SemanticWiki for SP

References:

� Deutsche Telekom

� Sulzer Metco

� Voith Hydro

Semantic Enterprise WikiAgile collaborative knowledge management.

Product

� SMW+

References:

� Siemens

� Unesco

� Vulcan Inc.

Content DiscoveryDiscover hidden knowledge in structured

and unstructured data.

Products

� Semantic Content Analytics

� SemanticXpress

� SemanticMiner

References:

� Roche

� Service-BW

� Swisscom

� Vector Informatik

Semantic Information IntegrationUnlock and aggregate data from multiple

sources and deliver it in terms your

business users want and understand.

Products:

� Semantic Integrator

References:

� Audi

� Partners HealthCare

� Johnson & Johnson


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



� Precise and powerful querying

� Aggregate, visualize and explore data

� Integrate and align data

� Build situational applications






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




� Authoring and editing

� Querying and searching

� Organizing and curating

� Integrating and exchanging





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




� Related products

� SMW+ Extension Suite

� Semantic Data Integration with TripleStore prof.

� TripleStore basic

� Microsoft Connectors




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

models:

Legacy data can be complemented with socially curated data in

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.


� Synchronize projects, tasks and assigned resources in SMW+ and

MS Project

Microsoft Project Connector


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








Customers and use cases

� 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








Where to get SMW+

get your copy of SMW+ within 5 minutes!

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

Daniel Hansch

Email: [email protected]

Web: http://www.ontoprise.com


Max Mustermann



Thank you for your attention!For further questions please

visit our webpage or contact us:

Daniel Hansch




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)