DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO)

Oberle, Daniel; Ankolekar, Anupriya; Hitzler, Pascal; Cimiano, Philipp; Sintek, Michael; Kiesel, Malte; Mougouie, Babak; Baumann, S.; Vembu, Shankar; Romanelli, Massimo; Buitelaar, Paul; Engel, Rainer M.E.; Sonntag, Daniel; Reithinger, Norbert; Loos, Berenike; Zorn, Hans-Péter; Micelli, Vanessa; Porzel, Robert; Schmidt, Christian; Weiten, Moritz; Burkhardt, Felix; Zhou, Jianshe

doi:10.1016/j.websem.2007.06.002

Cited by 67 publications

(34 citation statements)

References 16 publications

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“…A number of well known upper level ontologies such as SUMO [24], Cyc [28], and DOLCE [10] are available [21]. In the past various domain specific ontologies have been integrated with these upper level ontologies [25] driven by application specific needs. FactForge [2] uses mappings between the upper level ontology PROTON and other ontologies to build a compound dataset comprising some of the most popular datasets of the LOD Cloud, e.g., DBPedia, MusicBrainz, New York Times, Freebase, Geonames and Wordnet.…”

Section: Related Workmentioning

confidence: 99%

Alignment-Based Querying of Linked Open Data

Joshi

Jain

Hitzler

et al. 2012

Lecture Notes in Computer Science

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Abstract. The Linked Open Data (LOD) cloud is rapidly becoming the largest interconnected source of structured data on diverse domains. The potential of the LOD cloud is enormous, ranging from solving challenging AI issues such as open domain question answering to automated knowledge discovery. However, due to an inherent distributed nature of LOD and a growing number of ontologies and vocabularies used in LOD datasets, querying over multiple datasets and retrieving LOD data remains a challenging task. In this paper, we propose a novel approach to querying linked data by using alignments for processing queries whose constituent data come from heterogeneous sources. We also report on our Alignment based Linked Open Data Querying System (ALOQUS) and present the architecture and associated methods. Using the state of the art alignment system BLOOMS, ALOQUS automatically maps concepts in users' SPARQL queries, written in terms of a conceptual upper ontology or domain specific ontology, to different LOD concepts and datasets. It then creates a query plan, sends sub-queries to the different endpoints, crawls for co-referent URIs, merges the results and presents them to the user. We also compare the existing querying systems and demonstrate the added capabilities that the alignment based approach can provide for querying the Linked data.

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Section: Related Workmentioning

confidence: 99%

Alignment-Based Querying of Linked Open Data

Joshi

Jain

Hitzler

et al. 2012

Lecture Notes in Computer Science

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“…Another effort towards an MPEG-7 based multimedia ontology has been reported within the context of the SMARTWeb 6 project [38]. The developed on-tology focuses on the Content Description and Content Management DSs.…”

Section: Formal Representationsmentioning

confidence: 99%

Semantic Representation of Multimedia Content

Dalakleidi

Dasiopoulou

Stoilos

et al. 2011

Knowledge-Driven Multimedia Information Extraction and Ontology Evolution

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Abstract. Multimedia documents constitute extremely rich information resources, whose efficacious management is intertwined with the effective capturing of the underlying semantics. The conveyed meaning may span along multiple levels and relates to search and retrieval tasks, much as to the very extraction and interpretation of content descriptions. In this chapter we consider the formal representation of multimedia semantics that pertain to media and domain specific descriptions, for the purpose of supporting both the extraction and subsequent semantic management of such descriptions. To this end, firstly, we present first an overview of existing approaches to the representation of multimedia content and discuss open issues. Subsequently, we present the ontology infrastructure developed in the context of the BOEMIE project tailored towards the formal representation of multimedia content. Concluding, we present what can non-standard formal representation technologies, such as fuzzy knowledge representation formalisms bring to multimedia document processing and management.

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“…This differentiation was refined by Guarino and Schneider (2002), and applied by Rosse Legend: X integrated, 0 integrated and specified in detail BISE -rESEarch papEr pp. 478-500), Oberle (2005), or Oberle et al (2007, pp. 156-174) in different settings.…”

Section: Work Related To Different Levels Of Applicabilitymentioning

confidence: 99%

Countering Service Information Challenges in the Internet of Services

Oberle

Bhatti

Brockmans³

et al. 2009

Bus. Inf. Syst. Eng.

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The Internet of Services is commonly referred to as the underlying platform for realizing ad-hoc value networks in the web. In the case of decentralized service discovery, brokerage, or community feedback, there emerge a number of service information challenges that have to be addressed. In this paper, we propose to counter such service information challenges by two artifacts. First, we contribute a Service Ontology as a consistent and holistic way of capturing service information. The ontology is constructed in an interdisciplinary and collaborative way and formalized with W3C Semantic Web recommendations. Second, we provide for the methodological aspects around the ontology including a governance framework and guidelines for interlinking information.

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DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO)

Cited by 67 publications

References 16 publications

Alignment-Based Querying of Linked Open Data

Alignment-Based Querying of Linked Open Data

Semantic Representation of Multimedia Content

Countering Service Information Challenges in the Internet of Services

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