Community Action Needed

The DBpedia team have diligently cleaned up the website and have removed outdated content. Moreover, we’ve created a platform for new datasets, services, applications and tools. Have you developed a fascinating tool or app? Please share it with the DBpedia Community! We will publish your tools and applications, which are using DBpedia data on our website. Please explore current DBpedia apps and projects here: https://www.dbpedia.org/community/data-tools-services/ 

Submit Your Tool or Application

Please fill out the submission form or send us your information (description of your applications, videos, pictures) to dbpedia@infai.org. Following this, we will publish your submission on the DBpedia website. 

Let’s all join together! Show us which cool and fascinating tools and applications you’ve created with DBpedia. 

We are looking forward to your contribution!

Stay safe and check Twitter or LinkedIn. Furthermore, you can subscribe to our Newsletter for the latest news and information around DBpedia.

Yours,

DBpedia Association

The post Show your Application on the DBpedia Website appeared first on DBpedia Association.

In part three of DBpedia’s growth hack blog series, we feature timbr, the latest development at DBpedia in collaboration with WPSemantix. Read on to find out how it works.

timbr – DBpedia SQL Semantic Knowledge Platform

Tel Aviv, Israel and Leipzig, Germany – July 18, 2019 – WP-Semantix (WPS) – the “SQL Knowledge Graph Company” and DBpedia Association – Institut für Angewandte Informatik e.V., announced today the launch of the timbr-DBpedia SQL Semantic Knowledge Platform, a unique version of WPS’ timbr SQL Semantic Knowledge Graph that integrates timbr-DBpedia ontology, timbr’s ontology explorer/visualizer and timbr’s SQL query service, to provide for the first time semantic access to DBpedia knowledge in SQL and to thus facilitate DBpedia knowledge integration into standard data warehouses and data lakes.

DBpedia

DBpedia is the crowd-sourced community effort to extract structured content from the information created in various Wikimedia projects and publish these as files on the Databus and via online databases. This structured information resembles an open knowledge graph which has been available for everyone on the Web for over a decade. Knowledge graphs are a new kind of databases developed to store knowledge in a machine-readable form, organized as connected, relationship-rich data. After the publication of DBpedia (in parallel to Freebase) 12 years ago, knowledge graphs have become very successful and Google uses a similar approach to create the knowledge cards displayed in search results.

Query the world’s knowledge in standard SQL

Amit Weitzner, founder and CEO at WPS commented: “Knowledge graphs use specialized languages, require resource-intensive, dedicated infrastructure and require costly ETL operations. That is, they did until timbr came along. timbr employs SQL – the most widely known database language, to eliminate the technological barriers to entry for using knowledge graphs and to implement Semantic Web principles to provide knowledge graph functionality in SQL. timbr enables modelling of data as connected, context-enriched concepts with inference and graph traversal capabilities while being queryable in standard SQL, to represent knowledge in data warehouses and data lakes. timbr-DBpedia is our first vertical application and we are very excited by the prospects of our cooperation with the DBpedia team to enable the largest user base to query the world’s knowledge in standard SQL.”

Sebastian Hellmann, executive director of the DBpedia Association commented that:

timbr will help to explore the power of semantic technologies

Prof. James Hendler, pioneer and a world-leading authority in Semantic Web technologies and WPS’ advisory board member commented “timbr can be a game-changing solution by enabling the semantic inference capabilities needed in many modelling applications to be done in SQL. This approach will enable many users to get the advantages of semantic AI technologies and data integration without the learning curve of many current systems. By giving more people access to the semantic version of Wikipedia, timbr-DBpedia will definitely contribute to allowing the majority of the market to explore the power of semantic technologies.”

timbr-DBpedia is available as a query service or licensed for use as SaaS or on-premises. See the DBpedia website: wiki.dbpedia.org/timbr.

About WPSemantix

WP-Semantix Ltd. (wpsemantix.com) is the developer of the timbr SQL semantic knowledge platform, a dynamic abstraction layer over relational and non-relational data, facilitating declaration and powerful exploration of semantically rich ontologies using a standard SQL query interface. timbr is natively accessible in Apache Spark, Python, R and SQL to empower data scientists to perform complex analytics and generate sophisticated ML algorithms.  Its JDBC interface provides seamless integration with the most popular business intelligence solutions to make complex analytics accessible to analysts and domain experts across the organization.

WP-Semantix, timbr, “SQL Knowledge Graph”, “SQL Semantic Knowledge Graph” and associated marks and trademarks are registered trademarks of WP Semantix Ltd.

DBpedia is looking forward to this cooperation. Follow us on Twitter for the latest information and stay tuned for part four of our growth hack series. The next post features the GlobalFactSyncRe. Curious? You have to be a little more patient and wait till Thursday, July 25th.

Yours DBpedia Association

The post timbr – the DBpedia SQL Semantic Knowledge Platform appeared first on DBpedia Association.

This year’s GSoC is slowly coming to an end with final evaluations already being submitted. In order to bridge the waiting time until final results are published, we like to draw your attention to a former project and great tool that was developed during last years’ GSoC.

Meet the DBpedia Chatbot. 

DBpedia Chatbot is a conversational Chatbot for DBpedia which is accessible through the following platforms:

1. A Web Interface
2. Slack
3. Facebook Messenger

Main Purpose

The bot is capable of responding to users in the form of simple short text messages or through more elaborate interactive messages. Users can communicate or respond to the bot through text and also through interactions (such as clicking on buttons/links). There are 4 main purposes for the bot. They are:

1. Answering factual questions
2. Answering questions related to DBpedia
3. Expose the research work being done in DBpedia as product features
4. Casual conversation/banter

Question Types

The bot tries to answer text-based questions of the following types:

Natural Language Questions

1. Give me the capital of Germany
2. Who is Obama?

Location Information

1. Where is the Eiffel Tower?
2. Where is France’s capital?

Service Checks

Users can ask the bot to check if vital DBpedia services are operational.

1. Is DBpedia down?
2. Is lookup online?

Language Chapters

Users can ask basic information about specific DBpedia local chapters.

1. DBpedia Arabic
2. German DBpedia

Templates

These are predominantly questions related to DBpedia for which the bot provides predefined templatized answers. Some examples include:

1. What is DBpedia?
2. How can I contribute?
3. Where can I find the mapping tool?

Banter

Messages which are casual in nature fall under this category. For example:

1. Hi
2. What is your name?

if you like to have a closer look at the internal processes and how the chatbot was developed, check out the DBpedia GitHub pages. 

DBpedia Chatbot was published on wiki.dbpedia.org and is one of many other projects and applications featuring DBpedia.

Powered by WPeMatico

In case you want your DBpedia based tool or demo to publish on our website just follow the link and submit your information, we will do the rest.

Yours

DBpedia Association

The post Meet the DBpedia Chatbot appeared first on DBpedia Association.