The 2017 International Conference on Information Integration and Web-Based Applications and Services (iiWAS) was the 19th edition of this conference series. The conference has been a venue for authors of various countries to share and to collaborate in solving problems associated with information integration and web-applications and services.
The topic of data analytics has attracted many submissions in the last few years. However, other traditional topics such as database technology, semantic web, ontology and web engineering are still intensively investigated by our community. The combination of the old and the new can also be seen in the list of authors. New authors emerged in collaboration with established contributors have enriched discussion in the community.
Platform for automated previews of linked data
While the number of Linked Data (LD) datasets grows, the support for their consumption is still quite limited. Data publishers expect high reuse of their LD in different applications. At the same time, their users expect that the applications will be ...
Recency-based candidate selection for efficient entity linking
Entity Linking is the task of assigning a corresponding entity in a knowledge base to each mention in text. Typically, entity linking is a 3-step process: (1) candidate selection, (2) candidate evaluation, and (3) linking decision. Many existing methods ...
Automatic semantic enrichment of data services
In recent years, many approaches and tools have emerged to assist in the semantic enrichment of Web services. Many researchers have been directing efforts in providing semantic annotations and enriching service descriptions. However, the provisioning of ...
An ontology alignment framework for data-driven microservices
The integration of heterogeneous data sources can be done by using data-driven microservices along with Semantic Web technologies. However, it becomes a challenge in cross-domain scenarios, in which data is described by heterogeneous ontologies. This ...
A web based belief rule based expert system for assessing flood risk
Natural calamities such as flooding, volcanic eruption, tornado hampers our daily life and causes many sufferings. Flood is one of the most catastrophic among the natural calamities. Assessing flood risk helps us to take necessary steps and save human ...
LinkedPipes ETL in use: practical publication and consumption of linked data
Companies and institutions now realize the potential of Linked Open Data (LOD) and they start publishing their own data as LOD. However, publishing LOD is still a challenging task. One of the main reasons is a lack of user friendly tooling which would ...
DLP: a web-based facility for exploration and basic modification of ontologies by domain experts
One of the main problems for the practical use of tools and technologies of the Semantic Web is the difficulty for a non-expert user of conceiving, analyzing, extending and merging ontologies. Despite the various existing approaches for representing, ...
Why the mapping process in ontology integration deserves attention
In an age where science is often interdisciplinary, it is frequently necessary to combine scientific data from different (sub-)disciplines and thus from different sources. Ontologies can play an important role in this integration process. However, ...
Context-based ontology for urban data integration
Urban planning data are of big importance to both general public and domain experts like civil engineers, architects or urban planning specialists. Typically, the data are scattered within many datasets containing both geographical knowledge and ...
Index Terms
- Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services