William Van Woensel

@article{SWJ-WVW-2018,

title = {Benchmarking Semantic Reasoning on Mobile Platforms: Towards Optimization Using OWL2 RL},

author = {William Van Woensel and Syed Sibte Raza Abidi},

url = {http://www.semantic-web-journal.net/system/files/swj1881.pdf},

year  = {2018},

date = {2018-08-06},

journal = {Semantic Web Journal},

abstract = {Mobile hardware has advanced to a point where apps may consume the Semantic Web of Data, as exemplified in domains such as mobile context-awareness, m-Health, m-Tourism and augmented reality. However, recent work shows that the performance of ontology-based reasoning, an essential Semantic Web building block, still leaves much to be desired on mobile platforms. This presents a clear need to provide developers with the ability to benchmark mobile reasoning performance, based on their particular application scenarios, i.e., including reasoning tasks, process flows and datasets, to establish the feasibility of mobile deployment. In this regard, we present a mobile benchmark framework called MobiBench to help developers to benchmark semantic reasoners on mobile platforms. To realize efficient mobile, ontology-based reasoning, OWL2 RL is a promising solution since it (a) trades expressivity for scalability, which is important on resource-constrained platforms; and (b) provides unique opportunities for optimization due to its rule-based axiomatization. In this vein, we propose selections of OWL2 RL rule subsets for optimization purposes, based on several orthogonal dimensions. We extended MobiBench to support OWL2 RL and the proposed ruleset selections, and benchmarked multiple OWL2 RL-enabled rule engines and OWL reasoners on a mobile platform. Our results show significant performance improvements by applying OWL2 RL rule subsets, allowing performant reasoning for small datasets on mobile systems.},

keywords = {Mobile Computing, OWL2 RL, Semantic Web reasoning},

pubstate = {published},

tppubtype = {article}

}

@article{VanWoensel:2016:MQS:2895617.2895676,

title = {A Mobile Query Service for Integrated Access to Large Numbers of Online Semantic Web Data Sources},

author = { William Van Woensel and Sven Casteleyn},

url = {https://niche.cs.dal.ca/wp-content/uploads/2016/05/A-Mobile-Query-Service-for-Integrated-Access-to-Large-Numbers-of-Online-Semantic-Web-Data-Sources-1.pdf},

doi = {10.1016/j.websem.2015.10.002},

issn = {1570-8268},

year  = {2016},

date = {2016-01-01},

journal = {Web Semant.},

volume = {36},

number = {C},

pages = {58--76},

publisher = {Elsevier Science Publishers B. V.},

address = {Amsterdam, The Netherlands, The Netherlands},

keywords = {Cache replacement, Data caching, Data indexing, Data integration, Mobile Computing, Open world assumption},

pubstate = {published},

tppubtype = {article}

}

@article{5999639,

title = {Mobile Querying of Online Semantic Web Data for Context-Aware Applications},

author = { William Van Woensel and  Sven Casteleyn and  Elien Paret and  Olga De Troyer},

url = {http://web.cs.dal.ca/~woensel/paper/Mobile%20Querying%20of%20Online%20Semantic%20Web%20Data%20for%20Context-Aware%20Applications.pdf},

issn = {1089-7801},

year  = {2011},

date = {2011-01-01},

journal = {IEEE Internet Computing Special Issue (Semantics in Location-Based Services)},

volume = {15},

number = {6},

pages = {32--39},

abstract = {Mobile devices are increasingly multifunctional and personal, providing mobile applications with the necessary user information to achieve personalization. At the same time, detection technologies let such devices find nearby physical entities and thus map the user's environment. By exploiting existing online Semantic Web sources about these detected entities, mobile applications can further improve personalization. SCOUT is a mobile application framework that supports linking physical entities to online semantic data sources. It provides applications with an integrated, query-able view on these sources and the user's environment. The authors developed a tailored data management approach to efficiently access these distributed online semantic sources.},

keywords = {Mobile Computing, Semantic Web},

pubstate = {published},

tppubtype = {article}

}