We are very pleased to announce that our group got two papers and two poster papers accepted for presentation at SEMANTiCS 2018 conference which will take place in Vienna, Austria on 10th – 13th of September 2018.
SEMANTiCS is an established knowledge hub where technology professionals, industry experts, researchers and decision makers can learn about new technologies, innovations and enterprise implementations in the fields of Linked Data and Semantic AI. Since 2005, the conference series has focused on semantic technologies, which are today together with other methodologies such as NLP and machine learning the core of intelligent systems. The conference highlights the benefits of standards-based approaches.
Here is the list of accepted papers with their abstracts:
- “Profiting from Kitties on Ethereum: Leveraging Blockchain RDF with SANSA” by Damien Graux, Gezim Sejdiu, Hajira Jabeen, Jens Lehmann, Danning Sui, Dominik Muhs and Johannes Pfeffer (Poster & Demo Track)
Abstract: In this poster, we will present attendees how the recent state-of-the-art Semantic Web tool SANSA could be used to tackle blockchain specific challenges. In particular, the poster will focus on the use case of CryptoKitties: a popular Ethereum-based online game where users are able to trade virtual kitty pets in a secure way.
- “SPIRIT: A Semantic Transparency and Compliance Stack” by Patrick Westphal, Javier Fernández, Sabrina Kirrane and Jens Lehmann (Poster & Demo Track)
Abstract: The European General Data Protection Regulation (GDPR) sets new precedents for the processing of personal data. In this paper, we propose an architecture that provides an automated means to enable transparency with respect to personal data processing and sharing transactions and compliance checking with respect to data subject usage policies and GDPR legislative obligations.
- “SemSur: A Core Ontology for the Semantic Representation of Research Findings” by Said Fathalla, Sahar Vahdati, Sören Auer and Christoph Lange (Research & Innovation)
Abstract: The way how research is communicated using text publications has not changed much over the past decades. We have the vision that ultimately researchers will work on a common structured knowledge base comprising comprehensive semantic and machine-comprehensible descriptions of their research, thus making research contributions more transparent and comparable. We present the SemSur ontology for semantically capturing the information commonly found in survey and review articles. SemSur is able to represent scientific results and to publish them in a comprehensive knowledge graph, which provides an efficient overview of a research field, and to compare research findings withrelated works in a structured way, saving researchers a significant amount of time and effort. The new release of SemSur covers more domains, defines better alignment with external ontologies and rules for eliciting implicit knowledge. We discuss possible applications and present an evaluation of our approach with the retrospective, exemplary semantification of a survey. We demonstrate the utility of the SemSur ontology to answer queries about the different research contributions covered by the survey. SemSur is currently used and maintained at OpenResearch.org.
- “Cross-Lingual Ontology Enrichment Based on Multi-Agent Architecture” by Mohamed Ali, Said Fathalla, Shimaa Ibrahim, Mohamed Kholief, Yasser Hassan (Research & Innovation)
Abstract: The proliferation of ontologies and multilingual data available on the Web has motivated many researchers to contribute to multilingual and cross-lingual ontology enrichment. Cross-lingual ontology enrichment greatly facilitates ontology learning from multilingual text/ontologies in order to support collaborative ontology engineering process.This article proposes a cross-lingual ontology enrichment (CLOE) approach based on a multi-agent architecture in order to enrich ontologies from a multilingual text or ontology. This has several advantages: 1) an ontology is used to enrich another one, written in a different natural language, and 2) several ontologies could be enriched at the same time using a single chunk of text (Simultaneous Ontology Enrichment). A prototype for the proposed approach has been implemented in order to enrich several ontologies using English, Arabic and German text. Evaluation results are promising and showing that CLOE performs well in comparison with four state-of-the-art approaches.
Furthermore, we are pleased to inform that we got a talk accepted, which will be co-located with the Industry track.
Here is the accepted talk and its abstract :
- “Using the SANSA Stack on a 38 Billion Triple Ethereum Blockchain Dataset”
Abstract: SANSA is the first open source project that allows out of the box horizontally scalable analytics for large knowledge graphs. The talk will cover the main features of SANSA introducing its different layers namely, RDF, Query, Inference and Machine Learning. The talk also covers a large-scale Etherum blockchain use case at Alethio, a spinoff company of Consensys. Alethio is building an analytics dashboard that strives to provide transparency over what’s happening on the Ethereum p2p network, the transaction pool and the blockchain in order to provide “blockchain archaeology”. Their 6 billion triple dataset contains large-scale blockchain transaction data modelled as RDF according to the structure of the Ethereum ontology. Alethio chose to work with SANSA after experimenting with other existing engines. Specifically, the initial goal of Alethio was to load a 2TB EthOn dataset containing more than 6 billion triples and then performing several analytic queries on it with up to three inner joins.
SANSA has successfully provided a platform that allows running these queries.
Speaker: Hajira Jabeen
Acknowledgment
This work has received funding from the EU Horizon 2020 projects BigDataOcean (GA. 732310) and QROWD (GA no. 723088), the Marie Skłodowska-Curie action WDAqua (GA No 642795), and SPECIAL (GA. 731601).
Looking forward to seeing you at The SEMANTiCS 2018.