omestic and industrial robots, intelligent software agents, virtual-world avatars, and other artificial entities are being created and deployed in our society for various routine and hazardous tasks, as well as for entertainment and companionship. Over the past ten years or so, primarily in response to the growing security threats and financial fraud, it has become necessary to accurately authe...

Knowledge elicitation and knowledge modelling have always played an important role within the context of Knowledge Engineering and have as such been named the „bottleneck of system development“. However the phase of elicitation and representation of knowledge is highly responsible for the quality of knowledge-intensive systems being developed. Knowledge-intensive and complex problem domains for...

frbrizing opacs is viewed from two different angles: the system approach and the user approach. the first deals with different requirements of a system to be frbrized automatically. the second regards the user as the integral element which any system attempts to serve. due to the very huge number of marc records stored in our opac databases, data mining marc records to find different frbr entit...

Modern search engines are increasingly aiming to understand users’ intent in order to answer information needs more effectively by providing richer information than the traditional “ten blue links”. This information might include context about the entities present in the query, direct answers to questions that concern entities and more. A recent trend when answering queries that refer to a sing...

The LOD Russia research project funded by the Ministry of Education aims to create a first Linked Open Data Set in Russia enabling scientists, researchers and commercial users to share, access, analyse and reuse knowledge related to scientific data. The position paper is highlighting challenges of the life-cycle management of LOD data, especially focuses on the process of entity linking and the...

Universal schema predicts the types of entities and relations in a knowledge base (KB) by jointly embedding the union of all available schema types—not only types from multiple structured databases (such as Freebase or Wikipedia infoboxes), but also types expressed as textual patterns from raw text. This prediction is typically modeled as a matrix completion problem, with one type per column, a...

The Hierarchical Dirichlet Process (HDP) is a Bayesian nonparametric prior for grouped data, such as collections of documents, where each group is a mixture of a set of shared mixture densities, or topics, where the number of topics is not fixed, but grows with data size. The Nested Dirichlet Process (NDP) builds on the HDP to cluster the documents, but allowing them to choose only from a set o...