In the Minute Madness session, we present industry-relevant, mature projects as well as high-impact, bleeding-edge work-in-progress and thus giving an overview of the current state as well as recent trends in the Web of Data.
The beginning of the Minute Madness will consist of featured projects of AKSW members itself followed by an open session with participants of LSWT (lightning talk style). We invite the audience to submit lightning talks (~3min.) to the Orga-Team. Language can be English or German.
The AKSW group has acquired an international reputation through projects such as DBpedia, LOD2, OntoWiki, Catalogus Professorum and the NLP Interchange Format (NIF). We consider it our duty to disseminate this know-how in local sessions to the public and facilitate interesting discussion and feedback. The general philosophy of AKSW is to combine scientific excellence with real world business applications and use cases via open-source communities and ambitious software engineering.
In unserer Minute Madness präsentieren wir neben industrie-relevanten & ausgereiften Projekten auch den aktuellen Stand der Forschung und Trends im Web of Data.
Zu Beginn werden Mitarbeiter der AKSW Forschungsgruppe Projekte und Ansätze präsentieren, es ist aber auch auf jeden Fall noch Platz für ihre Idee oder Projekt, die im Sinne eines Lightning Talk vorgetragen werden kann (~3min). Bei Interesse wenden Sie sich einfach an unser Orga-Team.
.</td> | Name | Title | Abstract (300 chars or 3 sentences) | URL</tr> |
.</td> | Darya Tarasowa | SlideWiki | SlideWiki is a collaboration platform which enables communities to build, share and play online presentations. In addition to importing PowerPoint presentations, it supports authoring of interactive online slides using HTML and LateX. Slides and their containers (called Deck), are versioned thereby enabling change tracking. Users can create their own themes on top of existing themes or re-use other's themes. | http://slidewiki.org/</tr> |
.</td> | Natanael Arndt | Xodx | Xodx is a distributed semantic social network (DSSN) node implementation. It uses Semantic Pingback and PubSubHubbub with Activity Streams for communicating with other nodes of the social network. The setup is designed and tested to run on low-cost and weak hardware such as the FreedomBox. | http://xodx.dssn.org/</tr> |
.</td> | Muhammad Saleem | Cancer Genome Atlas (TCGA) tailored federated query processing and linking to Linked Open Data (LOD) Cloud. | TopFed is a tailored federated query processing engine for Linked Cancer Genome Atlas (TCGA) data set (the largest LOD dataset, to the best of our knowledge). TopFed relies on a source selection algorithm that takes into account the data distribution and triple joins, which allows smart source selection, thus improving both execution time and network traffic. We evaluate and compare our approach with the state of the art approach, using a total of 10 queries with varying requirements. Our evaluation shows that our approach selects significantly fewer sources for the same recall and smaller execution time. | https://code.google.com/p/topfed/</tr> |
.</td> | Ivan Ermilov | LODStats | This demo presents LODStats, a web application for collection and exploration of the Linked Open Data statistics. LODStats consists of two parts: the core collects statistics about the LOD cloud and publishes it on the LODStats web portal, a front-end for exploration of dataset statistics. Statistics are published both in human-readable and machine-readable formats, thus allowing consumption of the data through web front-end by the users as well as through an API by services and applications. As an example for the latter we showcase how to visualize the statistical data with the CubeViz application. | http://stats.lod2.eu</tr> |
.</td> | Saeedeh Shekarpour | SINA | There is a large and increasing quantity of structured data available on the Web. Traditional information retrieval approaches based on keyword search are user-friendly but cannot exploit the internal structure of data due to their bag of words semantic. For searching information on the Data Web we need similar user friendly approaches i.e. keyword-base interfaces, which leverage the internal structure of the data. Also, Question Answering is a specialized form of information retrieval. A Question Answering system attempts to extract correct answers to questions posed in natural language. Using the structure of data in retrieval process has two prominent advantages. Firstly, it approaches the information retrieval systems to question answering systems. Secondly, it enables us to easily integrate information from different datasets. | http://sina.aksw.org/</tr> |
.</td> | Amrapali Zaveri | TripleCheckMate | TripleCheckMate is a tool for crowdsourcing the quality assessment of Linked Data wherein a user assesses an individual resource and evaluates each fact for correctness. Using this tool first, a user chooses a resource. Second, she is displayed with all triples belonging to that resources and evaluates each triple individually to detect quality problems. Third, If she finds a problem, she marks it and associates it with a relevant problem category. | http://nl.dbpedia.org:8080/TripleCheckMate-Demo/</tr> |
.</td> | Claus Stadler | Facete | Facete is an Open Source web application for faceted browsing of data accessible via SPARQL endpoints. It supports filtering of nested facets and the creation of tables. Based on the filters set by a user, Facete automatically detects relations to geographical resources for showing them on a map. | https://github.com/GeoKnow/Facete/</tr> |
.</td> | Denis Lukovnikov | DBpedia Viewer | This lightning talk presents the result of a Google Summer of Code project on DBpedia concerned with the creation of a user-friendly interface for RDF triples. The DBpedia Viewer introduces several features to improve user experience, such as language filtering of page content and string filtering. Also, a triple action framework was created to easily bind actions to values. The DBpedia Viewer also provides a noscript version (almost identical to the old viewer), intended for noscript users and crawlers.(GSoC). | http://nl.dbpedia.org/page/Chuck_Norris</tr> |
.</td> | Mohamed Sherif | GeoLift | GeoLift is a spatial mapping component. The goal of GeoLift is to enrich RDF datasets with geo-spatial information. To achieve this goal, GeoLift relies on three atomic modules based on dereferencing, linking and NLP. | https://github.com/GeoKnow/GeoLift/</tr> |
.</td> | Farshad Badie | Fuzzy OWL EXpression (For Intelligent Learning Based on Semantic Web) | Inductive logic programming approach to learning inclusion axioms in fuzzy description logics, reasoning with large A-boxes in fuzzy description logics using DL reasoners,fuzzy knowledge representation approach with DL and LP fuzzy DL approach to model management systems and Representing and finally Reasoning on Fuzzy UML models are the main approaches of our supposed system. | </tr></table> |