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Submitted by Pascal Hitzler on 05/16/2012 - 13:56
Paper Title:
TourMISLOD: a Tourism Linked Data Set
Authors:
Marta Sabou, Irem Arsal, Adrian M.P. Brasoveanu
Abstract:
The TourMISLOD dataset exposes as linked data a significant portion of the content of TourMIS, a key source of European
tourism statistics data. TourMISLOD contains information about the Arrivals, Bednights and Capacity tourism indicators,
recorded from 1985 onwards, about over 150 European cities and in connection to 19 major markets. Due to licensing issues,
the usage of this dataset is currently limited to the TourMIS consortium, however, a prototype application has already revealed
its usefulness for decision support.
Submitted by Pascal Hitzler on 05/16/2012 - 13:54
Paper Title:
A Linked Dataset of Medical Educational Resources
Authors:
Hong Qing Yu, Stefan Dietze, Davide Taibi, Daniela Giordano, Eleni Kaldoudi and John Domingue
Abstract:
With sharing and reusing, educational resources become increasingly important for enhancing learning and teaching
experiences, particularly in medical educational domain since these resources are expensive to re-produce. In respect to this, many
efforts have been applied to federate the resources to achieve the sharing and reusing goals, which led to a fragmented landscape of
competing metadata schemas, such as IEEE LOM or OAI-DC, and interface mechanisms, such as OAI-PMH or SQI. However, the
major issue of educational resource federating is the heterogeneity challenge of metadata and data. In this paper, we illustrate a
medical educational dataset (mEducator Linked Educational Resources dataset) that is published as part of the Linked Open Data
cloud following Linked Data principles. The dataset contains educational resource metadata federated from ten different (medical)
educational institutes together with enriched links to related information by using Linked Data techniques and datasets. We
introduce a Semantic Web Service based data extracting mechanism that is exploited for services and data integration to address
heterogeneous metadata problems. The paper also discusses the dataset accessing APIs, statistics and existing applications of using
the mEducator dataset.
Submitted by Pascal Hitzler on 05/15/2012 - 21:41
Paper Title:
A Review of Using Ontologies for Eff ective Relational Query Formulation
Authors:
K. Munir, M. Odeh, R. McClatchey
Abstract:
The dramatic increase in the use of knowledge discovery applications has recently required end users to write complex database
queries to retrieve information from relational databases. Such users are not expected to grasp the structural complexity of such
complex databases but also the semantic relationships between data stored in these databases. In order to overcome the difficulties
in this, researchers have been focusing on interactive query generation through ontologies, with particular emphasis on improving
the interface between data and search requests in order to bring the result sets closer to the users’ research requirements. This paper
reviews the state of the art in the field of ontology-based information retrieval approaches by taking into consideration the aspects
of ontology modelling, processing and the translation of ontological knowledge into relational database queries. It also extensively
reviews the existing ontology-to-database transformation and mapping approaches in terms of loss of data and semantics, structural
mapping and domain knowledge applicability. Based on our findings, we argue that it is beneficial to use a combination of both
database-to-ontology transformations and mapping approaches in order to enable ontology-driven relational query formulation.
Submitted by Pascal Hitzler on 05/13/2012 - 02:11
Paper Title:
Arabic Semantic Web Applications – A Survey
Authors:
Aya M. Al‐Zoghbya, Ahmed Sharaf Eldin Ahmed, Taher T. Hamza
Abstract:
Arabic Language is the mother tongue for 23 countries and more than 350 million persons. Moreover, since it is the
language of the Holy Quran, many other Islamic countries, like Pakistan, teach Arabic as a second language. Nevertheless, it is
noticed that the Arabic content on the web is less than what should be expected. The evolution of the semantic web (SW)
added a new dimension to this problem. This paper is an attempt to figure out the problem, its causes, and to open avenues
to think about the solutions. The survey presented in this paper is concerned with the SW applications regarding the Arabic
Language in the domains of Ontology building and using, Arabic WordNet (AWN) exploiting and enrichment, Arabic Named
Entities extraction, Holy Quran and Islamic Knowledge semantically representation, and, Arabic Semantic Search Engines. In
fact, the study revealed significant deficiencies in the Arabic Language semantically treatment in many aspects. To mention
few, most of the available tools don't support Arabic text. Moreover, very few resources are freely available. Hence, it is
inevitable to put the Arabic Language in the category of the languages which machine can understand its meaning not just
process its blocks.
Submitted by Pascal Hitzler on 05/10/2012 - 00:11
Paper Title:
The IRIS2 Dataset for Experimenting Algorithms in Semantic Search
Abstract:
Iris2 is a specially built linked dataset to evaluate performance of algorithms in a semantic search prototype. Knowledge
modelling and dataset creation follow the linked data principle and part of the dataset has been connected to external
datasets. We report the process for construction of the dataset with a combination of manual, semi-automated and automated approaches.
We also demonstrate the usefulness of the dataset with two use cases from our previous research on ontology learning
and entity ranking. Finally we pointed out the limitations of the dataset and future work.
