Demo and Poster Market at the 2010 Review

Please add your entries here for what you will be demo'ing and/or presenting as a poster at the Demo and Poster Market at the 2010 2nd LarKC review.

For each entry, list

Example:

WebPie

Person: Stanley (Saltlux), Zhisheng (VUA)
Description:
- Valid check of Seoul road sign on the LarKC platform with diverse dataset.
- Diverse datasets such as Open Street Map, Korean POI, Seoul road sign, Linked Geo Data.
- Retrieving Road signs, POIs, Roads within specific area.
Deliverable/tasks: WP6 (TBC Stanley), see description in D6.7
Link: http://larkc.saltlux.kr/rsm
Poster : LarKC_Poster_2nd-review-RSM.pdf

Person:
- Florian Steinke, Ralph Grothmann,Yi Huang, Volker Tresp (Siemens)
- Daniele Dell'Aglio, Irene Celino, Emanuele Della Valle (CEFRIEL)
Description:
- State-of-the-art statistical learning / probabilistic reasoning can be well-integrated into LarKC
- LarKC can deal with large-scale, time-varying data
- Challenges: Data size, Time-dependence, Heterogeneous information sources. Open world, Data quality / Uncertainty
- Showcase results:
  - Batch-time LarKC workflow: to recursively calculate traffic predictions for the next x hours
  - Run-time LarKC workflow: to calculate the quickest path for specific user’s routing requests
Deliverable/tasks: WP3 + WP6
Link: http://larkc.cefriel.it/traffic-larkc
Poster: pdf version

Person: Irene Celino, Emanuele Della Valle (CEFRIEL)
Description:There is a growing need for Semantic Web applications to efficiently access the content of GIS without having to replicate the whole content into RDF
Deliverable/tasks: a work in progress to be reported in next period
Poster: pdf version
Paper: http://www.larkc.eu/wp-content/uploads/2008/01/Towards-Treating-GIS-as-Virtual-RDF-Graphs_final.pdf

Person: Matthias & Alexey (HLRS), Daniele D. (Cefriel)
Description: the Event workflow developed within WP6 (see D6.5 and D6.6) was modified to make it possible to use a "thread pooling" and parallelize the execution of one of the plugins; this had the effect to improve the response time and, thus, the overall performance of the workflow. At the review a poster will illustrate this result (the code was released together with version 1.1 of the platform).
Deliverable/tasks: WP6, see description in D6.7
Link: not ready yet

Person:
- D. Barbieri, D Braga, S. Ceri, E. Della Valle (CEFRIEL)
- Y. Huang, V. Tresp, A. Rettinger, H. Wermser (SIEMENS and external collaborators)
Description: Apply Stream Reasoning to social network analysis, giving experimental evidence of good performance, and demonstrating effectiveness for extracting trends from micro-blogs and other feeds
Deliverable: D2.6.1, D3.3, D4.6.1 and work in progress to be reported in the next period
Poster: pdf version
Link: not ready yet

Person: Alexey & Matthias (HLRS), Christoph (STI)
Description: Distributed execution is one of the core features of LarKC’s decentralised architecture. Distribution enables remotely accessible resources (e.g. high-performance systems, web-servers etc.) for deployment and execution of workflows and their components, i.e. plug-ins and branches. For the demo market, we will prepare a poster and 2 "live" demos which, first of all, present the distribution techniques adopted by LarKC and secondly, demonstrate typical usage scenarios in LarKC.
Deliverables: LarKC Platform Manual v1.1, D5.3.2
Link

Person: Alexey & Matthias (HLRS)
Description: Due to a number physical constraints preventing computer frequency and throughput scaling, parallelisation is considered to be the major mechanism for obtaining high performance and scalability characteristics of Semantic Web applications, in particular of those built on top of the LarKC platform. This poster will present the parallelisation techniques applied for LarKC which facilitate simultaneous execution of the independent computational operations and thus enables performance improvement.
Deliverables: D5.5.3, D5.3.2
Link

Person: Yi Zeng and Yan Wang (WICI)
Description: For the purpose of helping users find most relevant and useful subsets and query results from large scale datasets, user interests are taking into consideration for each specific user of a Semantic Web application. Various user interests models are developed and used in the process of semantic search. This approach aims at removing scalability by diversity of user backgrounds and needs.
Deliverables: D2.3.1, D2.3.2, D4.3.2
Link: ppt(final)

Description: The plugin annotation language is used to describe explicitly, in a semantic way, the functional and non-functional properties of plugins. Based on these descriptions, the discovery and composition of plugins become more flexible and accurate. This poster will present the last developments of the LarKC PLugin Annotation Language and how the language can be used to describe a LarKC plugin.
Person: Ioan Toma (UIBK)
Deliverables: D1.3.1, D1.3.2
Link: not ready

Person: Matthias (HLRS) together with WP5, WP1 and WP6 team
Description: This poster will present the completely revised LarKC Architecture and show its benefits for plug-in and workflow developers.
Deliverables: D5.3.2
Link: pdf (final)

Person: Vassil (Ontotext)
Description: Distribution through data replication for improved query execution scalability and resilience + BBC case study
Deliverables: D5.5.4 (year 3)
Link: final - ppt

Person: Vassil (Ontotext)
Description: A poster & demonstration that overview the ?FactForge (former LDSR) service
Deliverables: D2.3.2 & D5.5.2
Link pdf version (final)

Person: Yi and Volker
Description: SUNS learning approach and 3 application scenarios (poster); demo of an application of the SUNS in clinical data
Deliverables: D3.2 and D3.5
Link: SUNS_Poster