Monthly Archives: August 2018

Meet the DBpedia Chatbot

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.

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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

DBpedia Entity – Standard Test Collection for Entity Search over DBpedia

Today we are featuring DBpedia Entity, in our blog series of introducting interesting DBpedia applications and tools to the DBpedia community and beyond. Read on and enjoy.

DBpedia-Entity is a standard test collection for entity search over the DBpedia knowledge base. It is meant for evaluating retrieval systems that return a ranked list of entities (DBpedia URIs) in response to a free text user query.

The first version of the collection (DBpedia-Entity v1) was released in 2013, based on DBpedia v3.7 [1]. It was created by assembling search queries from a number of entity-oriented benchmarking campaigns and mapping relevant results to DBpedia. An updated version of the collection, DBpedia-Entity v2, has been released in 2017, as a result of a collaborative effort between the IAI group of the University of Stavanger, the Norwegian University of Science and Technology, Wayne State University, and Carnegie Mellon University [2]. It has been published at the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’17), where it received a Best Short Paper Honorable Mention Award. See the paper and poster.

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

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Beta-tests for the DBpedia Databus commence

Finally, we are proud to announce that the beta-testing of our data release tool for data releases on the DBpedia Databus is about to start.

In the past weeks, our developers at DBpedia  have been developing a new data release tool to release datasets on the DBpedia Databus. In that context, we are still looking for beta-testers who have a dataset they wish to release.  Sign up here and benefit from an increased visibility for your dataset and your work done.

We are now preparing the first internal test with our own dataset to ensure the data release tool is ready for the testers. During the testing process, beta-testers will discuss occurring problems, challenges and ideas for improvement via the DBpedia #releases channel on Slack to profit from each other’s knowledge and skills. Issues are documented via GitHub.

The whole testing process for the data release tool follows a 4-milestones plan:

Milestone One: Every tester needs to have a WebID to release data on the DBpedia Databus. In case you are interested in how to set up a WebID, our tutorial will help you a great deal.

Milestone Two: For their datasets, testers will generate DataIDs, that provide detailed descriptions of the datasets and their different manifestations as well as relations to agents like persons or organizations, in regard to their rights and responsibilities.

Milestone Three: This milestone is considered as achieved if an RSS feed feature can be generated. Additionally, bugs, that arose during the previous phases should have been fixed. We also want to collect the testers particular demands and wishes that would benefit the tool or the process. A second release can be attempted to check how integrated fixes and changes work out.

Milestone Four: This milestone marks the final upload of the dataset to the DBpedia Databus which is hopefully possible in about 3 weeks.

For updates on the beta-test, follow this link.

Looking forward to working with you…

Yours,

DBpedia Association

 

PS: In case you want to get one of the last spots in the beta-testing team, just sign up here and get yourself a WebID and start testing.