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25 years of dblp - 222 publications

The dblp computer science bibliography is celebrating its 25th anniversary.
Furthermore, in June 2018, the 222th publication record was indexed.
On this occasion we would like to invite you to our celebration colloquium.

Program

Greetings

Strategic Tools for Scientific Sovereignty

Abstract: The digital revolution impacts all domains, actors and interactions of our society, including all scientific disciplines. This new situation is a formidable opportunity for scientists that can use new concepts as well as new tools to considerably extend their capacity to explore their scientific area and to relate their work and open their vision to many more domains and applications.

This results in main changes in the way scientist communicate their works and results and make them available to other scientists but also potentially to any people or entity, resulting in the emergence of a new knowledge ecosystem including its dedicated market place. The role of publishers has considerably changed and new actors are coming in to benefit and extend this knowledge economy.

This induces in a new main challenge for scientists and their institutions: to keep control on the knowledge they generate and which is a main common good. That is to keep their scientific sovereignty. For this we need advanced tools to master the scientific knowledge and in particular all publications of any kind generated by the scientific communities.

Several main such tools are developed, made globally available and extensively used by the scientific communities. DBLP is one of them and its 25th anniversary shows that in 1993, at the dawn of the global digital development, scientists already begin to use digital tools to master their production and knowledge. Such main tools including for instance HAL, epiSciences or arXiv came later or recently to help scientists and public institutions to defend, exploit and make globally available the scientific common goods.

Machine Knowledge: Encyclopedic, Scholarly, Commonsense

Abstract: Large knowledge graphs have become a powerful asset for search, analytics, recommendations and data integration, with intensive use at big industrial stakeholders. They have focused on encyclopedic facts about entities such as people, places and products. However, they lack various other dimensions of knowledge. On one hand, there is a huge demand for domain-specific knowledge bases, for example, on diseases and drugs or on material properties. Along these lines, scholarly knowledge about scientific publications, collaborations, software and experimental tools, inventions and discoveries would be a high-value use case. On the other hand, next-generation AI systems, such as conversational assistants, need broader kinds of commonsense knowledge: properties of everyday objects, human activities and spatio-temporal as well as socio-cultural context. This talk discusses these new frontiers for machine knowledge.

Reception

Afterwards, you are cordially invited to enjoy a drink and light refreshments.

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