Dmitry Pavlov

Towards the Russian Linked Culture Cloud: Data Enrichment and Publishing

In this paper we present an architecture and approach to publishing open linked data in the cultural heritage domain. We demonstrate our approach for building a system both for data publishing and consumption and show how user benefits can be achieved with semantic technologies. For domain knowledge representation the CIDOC-CRM ontology is used. As a main source of trusted data, we use the data of the web portal of the Russian Museum. For data enrichment we selected DBpedia and the published Linked Data of the British Museum. The evaluation shows the potential of semantic applications for data publishing in contextual environment, semantic search, visualization and automated enrichment according to needs and expectations of art experts and regular museum visitors.

Workflow Supporting Toolset for Diagram-Based Collaborative Ontology Development Implemented in the Open Budget Domain

We present a live demo of a use case and a technical solution that addresses the problem of organizing the collaborative ontology development with deliverables including the diagrams and various views of the data model. The use case describes the real life situation, in which the geographically distributed team was challenged with a task of producing the open budget ontology and consequently was to select the tool set to support such development. The technical solution is based on the combination of 3 basic tools: Protege - to provide a collaborative environment for ontology creation and modification, Ontodia.org - to visualize and publish results in a form of diagrams and GitHub - to host the repository of the project, whilst Ontodia is integrated with the last. The preliminary version of the produced ontology can be accessed at: https://github.com/k0shk/pfontology. Ontodia with GitHub integration capabilities is fully operational and can be tested here: http://www.ontodia.org.

A Case Study of Open Science Concept: Linked Open Data in University

The article gives an overview of Open Science concept to support online scientific collaborations and open science data contribution. The authors give a description of ‘Linked Open Data in University’ project (developed Russian universities linked open data hub, architecture of this portal, published datasets and approach to mapping data from relational database to RDF).

From Spoken Language to Ontology-Driven Dialogue Management

The paper describes the architecture of the prototype of the spoken dialogue system combining deep natural language processing with an information state dialogue manager. The system assists technical support to the customers of the digital TV provider. Raw data are sent to the natural language processing engine which performs tokenization, morphological and syntactic analysis and anaphora resolution. Multimodal Interface Language MMIL is used for the sentence semantic representation. A separate module of the NLP engine converts Shallow MMIL representation into Deep MMIL representation by applying transformation rules to shallow syntactic structures and generating its paraphrases. Deep MMIL representation is the input of the module generating facts for the dialogue manager. Facts are extracted using the domain ontology. A fact itself is an RDF triple containing temporal information wrapped in the move type. Dialogue manager can accept unlimited number of facts and supports mixed initiative.

Application of CIDOC-CRM for the Russian Heritage Cloud Platform

This paper describes the usage of CIDOC-CRM ontology for the online representation of cultural heritage data on, based on class templates; and also describes the motivation for choosing the CIDOC-CRM ontology as the basis for the Russian Heritage Cloud project, a recent collaboration started between ITMO University and a number of museums in Russia.

A Diagrammatic Approach for Visual Question Answering over Knowledge Graphs.

In this demo we present a tool for visual question answering (QA) over the Wikidata knowledge graph based on diagrammatic representation and reasoning. The demo is built on top of the metaphacts platform with the Ontodia library embedded. In a user study, we demonstrate and evaluate the approach of diagrammatic question answering using questions from the QALD7 (Question Answering over Linked Data) benchmark for Wikidata. The effectiveness and limitations of the proposed approach are discussed in the evaluation and conclusions sections. In the demo session at ESWC, we plan to present our tool for visual QA and show its QA capabilities using incremental creation of diagrams.

The Russian Museum Culture Cloud

We present an architecture and approach to publishing open linked data in the cultural heritage domain. We demonstrate our approach for building a system both for data publishing and consumption and show how user benefits can be achieved with semantic technologies. For domain knowledge representation the CIDOC-CRM ontology is used. As a main source of trusted data, we use the data of the web portal of the Russian Museum. For data enrichment we selected DBpedia and the published Linked Data of the British Museum. Our work can be reached at www.culturecloud.ru.