A LASSO for Linked Data

A LASSO for Linked Data Lookup & Alignment Service with Semantic Open Data

Using Linked Data to improve personal knowledge management,

document management and creativity techniques

09.09.11 www.lassoproject.org 1

www.lassoproject.org 2

Partners

• Gnowsis

• Neurovation

• punkt. netServices / Semantic Web Company

• TU-Graz

09.09.11

www.lassoproject.org 309.09.11

Aims

• Improving recommendation of content and experts• Creativity applications need inspiring suggestions• Better entity extraction and disambiguation in text

By using• A knowledge model enriched with Linked Open Data• Context from the user’s desktop


Challenges

• Correctly linking local knowledge models with LOD cloud (aka Lookup)

• Efficient elicitation and leveraging of context to find and properly disambiguate entities

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Use Case 1 Thesaurus Managment

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What is Thesaurus Management?


Why Thesaurus Management?

• Concept tagging (Synonym and multiple languages)

• Better (automatic) tag suggestions• Improved content and expert suggestions• Semantic search• Search and browsing assistants


Why Thesaurus Management with Linked Data?

• Ease thesaurus creation and maintenance• Improve disambiguation of entities• Richer tagging and better classification of

documents• Enables semantic search services and content

recommendation


Demo:PoolParty Tag and Content Recommender


Conventional LOD Alignment

• Simple Keyword Lookup mechanism


LOD Alignment with LASSO

• Improved LOD disambiguation by using context of knowledge model

• background knowledge of search terms help to „expand queries“

• better similarity search because of more metadata

• content augmentation through linked data

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Leverage grabbed LOD infofor content analysis

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Apple is in the process of launching an application to allow iPhone, iPad and iPod Touch users to purchase Apple merchandise straight from their devices.

http://dbpedia/AppleApple

Apple Inc.

http://dbpedia/iPhone

http://dbpedia/iPhone3G

iPhone

iPhone 3GS

iPhone 3G

http://dbpedia/Smartphone

WikiSame – Confluence Plugin


More LASSO Thesaurus Features

• Semi-automatic population of thesaurus• Classification of new concepts• Classification of documents


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Try PoolParty!

• Register for free at poolparty.biz

• Contact:– [email protected] – Twitter: @semwebcompany

09.09.11 www.lassoproject.org

mailto:[email protected]


Know Center Context Elicitation Framework

• Get a glimpse about the user’s current task• Collect information– Sensors capture interaction information– “Low level” data– From the operating system and the user

applications, e.g. Outlook, Word, Firefox

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Know Center Context Elicitation Framework

• Aggregation– Infer higher level concepts– From keystrokes and mouse clicks to actions (copy+paste,

open,…) and resources (documents, people or e-mails)• Analyze relationships– between resources with usage based rules

• Export results– For further analysis and visualization

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Get in touch

• Know Center Context Elicitation Frameworkhttp://know-center.tugraz.at/

• Contact:[email protected]: @contextgroupkc


http://know-center.tugraz.at/



LASSO and

Catching Inspirations in the LOD Cloud

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Use Case 2


The Idea Platform: Neurovation.net

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Our Focus:• Providing a versatile environment for the creative worker• Providing creativity tools for our users (Inspiration Services)


Our first Inspiration Service

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Audio Files

mammal

animalcolor

pink

Word associations


I never saw a purple cow.I never hope to see one.But I can tell you anyhowI'd rather see than be one.

Seth GodinGelett Burgees

An Inspiration Service using the LOD Cloud

Lookup and Alignment ServiceContext

Ranked Inspirations

User FeedbackRanking Service


Expected Results

• Context aware inspirations

• Image-word combinations have relations

• Inspirations can be fuzzy or sharp

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Try it out!

• neurovation.net• inspirationmachine.at

• Contact:– [email protected]– Twitter: @neurovation


LASSO and Refinder

www.getrefinder.com


Use Case 3

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Refinder: Collect, Curate, Communicate

For them, Refinder is the next-generation

tool to find the relevant things in the

information overflow.It is marketed as

semantic enterprise social software.

40% of the workforce in developed economies spend 45% of their time with information management.


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Communicate about social objects


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TechnologyTo find the signals in the noise Information models based on social

Semantic Desktop research results. Proprietary algorithms for text analysis.

To integrate arbitrary data sources RDF data model built on W3C standards, connectors built with OSS

To contextualize information Semantically rich relations between social objects, lookup mechanisms for external information sources

To scale up and out Storage in a denormalized relational database & semantic indexing

To quickly iterate Rapid development in Python/Django


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Architecture


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External Information Sources

• Refinder uses external information sources– to enrich sparse user-provided data– to provide focal points around which social objects

gather

• Refinder is able to send rich queries to external data sources– based on social objects (“things”) – enriched with their attributes and context


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Contextualized Social Objects

• Context of objects consists of:– Static context:• Characteristics, attributes• Relations to other objects• User comments

– Dynamic context:• Determined based on usage tracking

• Optional user context elicitation module is under development



Integrating Linked Data

• Refinder is able to load any kind of RDF descriptions about resources.

• Refinder interprets rdf:type to determine how resources are displayed and ranked

• Each resource is indexed – structured by property – fulltext

• Share, comment, connect, … LOD resources

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Example: Linked Open Data (DBpedia)

– Refinder analyzes a social object and its context and generates a query that is sent to DBpedia.

– Ranked results are presented to the user and can be imported and connected with one mouse click.


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Example: Enterprise Thesaurus– Poolparty Thesaurus offers

an extraction & recommendation API, powered by LASSO research results

– Refinder sends contextualized queries to Poolparty and allows users to annotate social objects with thesaurus conceptshttp://poolparty.punkt.at/


http://poolparty.punkt.at/



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LASSO Results in Refinder

• Gnowsis work in LASSO focusses on the improvement of the recommendation precision.

• Development of context elicitation algorithms– Static: analyze existing objects and their relationships– Dynamic: analyze user behavior and usage patterns

• Integration of contextualized lookup and alignment services into the Refinder platform.


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Try it out!

• Register for free at www.getrefinder.com

• Contact:– [email protected]– Twitter: @refinder


http://www.getrefinder.com/



• Gnowsis - Refinderwww.getrefinder.com

• Know Center Grazhttp://know-center.tugraz.at/

• Neurovationhttp://neurovation.net

• Semantic Web Company – PoolPartyhttp://poolparty.biz

Thank you

http://www.getrefinder.com/

http://know-center.tugraz.at/

http://neurovation.net/

http://poolparty.biz/