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semantic web

[publication] Social Semantic Search: A Case Study on Web 2.0 for Science #semanticweb #tugraz

The outcome of the research work of Laurens and Selver got published now in the International Journal on Semantic Web and Information Systems (IJSWIS) using the title Social Semantic Search: A Case Study on Web 2.0 for Science.

Abstract:

When researchers formulate search queries to find relevant content on the Web, those queries typically consist of keywords that can only be matched in the content or its metadata. The Web of Data extends this functionality by bringing structure and giving well-defined meaning to the content and it enables humans and machines to work together using controlled vocabularies. Due the high degree of mismatches between the structure of the content and the vocabularies in different sources, searching over multiple heterogeneous repositories of structured data is considered challenging. Therefore, the authors present a semantic search engine for researchers facilitating search in research related Linked Data. To facilitate high-precision interactive search, they annotated and interlinked structured research data with ontologies from various repositories in an effective semantic model. Furthermore, the authors‘ system is adaptive as researchers can synchronize using new social media accounts and efficiently explore new datasets.

[Preview @ Journal’s Homepage]

[Preview @ ResearchGate]

Reference: De Vocht, L., Softic, S., Verborgh, R., Mannens, E., & Ebner, M. (2017). Social Semantic Search: A Case Study on Web 2.0 for Science. International Journal on Semantic Web and Information Systems (IJSWIS), 13(4), 155-180. doi:10.4018/IJSWIS.2017100108

[publication] Benchmarking the Effectiveness of Associating Chains of Links for Exploratory Semantic Search #research #LinkedData

Our conference paper about „Benchmarking the Effectiveness of Associating Chains of Links for Exploratory Semantic Search“ at this year 4th International Workshop on Intelligent Exploration of Semantic Data (IESD 2015) is now online.
Abstract:

Linked Data offers an entity-based infrastructure to resolve indirect relations between resources, expressed as chains of links. If we could benchmark how effective retrieving chains of links from these sources is, we can motivate why they are a reliable addition for exploratory search interfaces. A vast number of applications could reap the benefits from encouraging insights in this field. Especially all kinds of knowledge discovery tasks related for instance to ad-hoc decision support and digital assistance systems. In this paper, we explain a benchmark model for evaluating the effectiveness of associating chains of links with keyword-based queries. We illustrate the benchmark model with an example case using academic library and conference metadata where we measured precision involving targeted expert users and directed it towards search effectiveness. This kind of typical semantic search engine evaluation focusing on information retrieval metrics such as precision is typically biased towards the final result only. However, in an exploratory search scenario, the dynamics of the intermediary links that could lead to potentially relevant discoveries are not to be neglected

[Full Paper @ ResearchGate]

Reference: De Vocht,L., Softic,S., Verborgh, R., Mannens, E., Ebner,M. & Van de Walle, R. (2015) Benchmarking the Effectiveness of Associating Chains of Links for Exploratory Semantic Search. In: Proceedings of the 4th International Workshop on Intelligent Exploration of Semantic Data (IESD 2015). Bethlehem, USA. October 12, 2015

[publication] Mining and Visualizing Trends from Educational Systems using Linked Data

Our chapter about „Mining and Visualizing Trends from Educational Systems using Linked Data“ as part of the book „Immersive Education“ got published.
Abstract:

This work introduces a case study on usage of semantic context modelling and creation of Linked Data from logs in educational systems like a Personal Learning Environment (PLE) with purpose on improvements in generally with respect to social and semantic analysis of the parameters on user and activity centric level. Sample case study demonstrates the usage of semantic modelling of the activity context using adequate domain specific ontologies and semantic technologies and visualization of such data as result of analysis of such modelled data represented in the form of Linked Data. This approach implies the easy interfacing and extensibility on machine or human level offering fast insight on statistical trends.

[Link to draft version at ResearchGate]

Reference: Softic, S., Taraghi, B., Ebner, M. (2015) Mining and Viszualising Trends from Educational Systems using Linked Data. In: Immersive Education. Ebner, M., Erenli, K., Malaka, R., Pirker, J., Walsh, A. (Eds.). Communications in Computer and Information Science 486. Springer. pp. 17-26

[publication] Visualizing Collaborations and Online Social Interactions at Scientific Conferences for Scholarly Networking

Our publication about „Visualizing Collaborations and Online Social Interactions at Scientific Conferences for Scholarly Networking“ at this year World Wide Web Conference is now online available.
Abstract:

The various ways of interacting with social media, web collaboration tools, co-authorship and citation networks for scientific and research purposes remain distinct. In this paper, we propose a solution to align such information. We particularly developed an exploratory visualization of research networks. The result is a scholar centered, multi-perspective view of conferences and people based on their collaborations and online interactions. We measured the relevance and user acceptance of this type of interactive visualization. Preliminary results indicate a high precision both for recognized people and conferences. The majority in a group of test-users responded positively to a set of statements about the acceptance.

[Link to full text]

Reference: De Vocht, L.; Selver, S.; Anastasia, D.; Verborgh, R. .; Mannens, E.; Ebner, M.; Van de Walle, R. (2015) Visualizing Collaborations and Online Social Interactions at Scientific Conferences for Scholarly Networking. – in: WWW 2015 Companion (2015), pp. 1053 – 1054, International World Wide Web Conference

[publication] COLINDA: Modeling, Representing and Using Scientific Events in the Web of Data

Our publicaton about „COLINDA: Modeling, Representing and Using Scientific Events in the Web of Data“ at this year „DeRiVE 2015-Detection, Representation, and Exploitation of Events in the Semantic Web“ conference is now online available.
Abstract:

Conference Linked Data (COLINDA)3, a recent addition to the LOD (Linked Open Data) Cloud4, exposes information about scientific events (confer- ences and workshops) for the period from 2002 up to 2015. Beside title, descrip- tion and time COLINDA includes venue information of scientific events which is interlinked with Linked Data sets of GeoNames5, and DBPedia6. Additionally in- formation about events is enhanced with links to corresponding proceedings from DBLP (L3S)7 and Semantic Web Dog Food 8 repositories. The main sources of COLINDA are WikiCfP9 and Eventseer10. The research questions addressed by this work in particular are: how scientific events can be extracted and summa- rized from the Web, how to model them in Semantic Web to be useful for mining and adapting of research related social media content in particular micro blogs, and finally how they can be interlinked with other scientific information from the Linked Data Cloud to be used as base for explorative search for researchers

[Link to the full paper]

Reference: Softic, S., de Vocht, L., Mannens, E., Ebner, M., Van de Walle, R. (2015) COLINDA: Modeling, Representing and Using Scientific Events in the Web of Data, In: Proceedings of the 4th International Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2015), van Erp, M., Troncy, R., Rospocher, M., van Hage, W. R., Shamma, D. A. (Ed.), pp. 12-23

[publication] Mining and Visualizing Trends from Educational Systems using Linked Data

Our contribution about „Mining and Visualizing Trends from Educational Systems using Linked Data“ at this year European Immersive Education Summit is now online available.
Abstract:

This work introduces a case study on usage of semantic context modelling and creation of Linked Data from logs in educational systems like a Personal Learning Environment (PLE) with purpose on improvements in generally with respect to social and semantic analysis of the parameters on user and activity centric level [3]. Sample case study demonstrates the usage of semantic modelling of the activity context using adequate domain specific ontologies and semantic technologies and visualization of such data as result of analysis of such modelled data represented in the form of Linked Data. This approach implies the easy interfacing and extensibility on machine or human level offering fast insight on statistical trends.

Reference: Softic, S., Taraghi, B., Ebner, M. (2014) Mining and Visualizing Trends from Educational Systems using Linked Data, European Immersive Education Summit, 2014, Vienna, pp. 164 – 169 [Link to article]

[publication] Aligning Web Collaboration Toolswith Research Data for Scholars

Our publication at this year first workshop on Big Scholarly Data (BigScholar) at the 23rd International World Wide Web Conference (WWW) about „Aligning Web Collaboration Toolswith Research Data for Scholars“ is now online available as draft.
Abstract:

Resources for research are not always easy to explore, andrarely come with strong support for identifying, linking andselecting those that can be of interest to scholars. In thiswork we introduce a model that uses state-of-the-art seman-tic technologies to interlink structured research data anddata from Web collaboration tools, social media and LinkedOpen Data. We use this model to build a platform thatconnects scholars, using their profiles as a starting point toexplore novel and relevant content for their research. Schol-ars can easily adapt to evolving trends by synchronizing newsocial media accounts or collaboration tools and integratethen with new datasets. We evaluate our approach by ascenario of personalized exploration of research repositorieswhere we analyze real world scholar profiles and comparethem to a reference profile.

Reference: De Vocht, L., Softic, S., Mannes, E., Ebner, M., Van de Walle, R. (2014) Aligning Web Collaboration Tools with Research Data for Scholars, In: Proceedings of the first workshop on Big Scholarly Data (BigScholar), 23rd International World Wide Web Conference (WWW), Seoul, p. 1203 – 1210