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; Zhoug, Jianshen

doi:10.2139/ssrn.3199364

Cited by 21 publications

(16 citation statements)

References 14 publications

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“…It besides draws in reusability and interoperability among various modules. The probability of supernatural quality structure, combination and re-trying give thought concerning hypothesis based data extraction and recovery [12].…”

Section: B Ontology Planmentioning

confidence: 99%

Semantic Indexing and Concept Based Methods for Ontology Based Information Retrieval using Dbpedia

Priya¹

2019

IJEAT

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Web contains immense extent of records. It is helpful for the clients who need to look through data with respect to direction, business, redirection, remedial organizations, topography, and so forth... Looking through such data is essential utilizing particular web records yet looking through obvious data which is required is a horrible errand. This can be developed by semantic pursue which means hugeness or thought based intrigue. In the proposed work, thinking is made utilizing the parts and the properties of the substances. An introspective philosophy based data extraction framework is sorted out which is unequivocal to soccer district. Utilizing the crept data from DBPedia, the perspective is made and the OWL files are populated. Semantic mentioning is then performed on these reports. At long last the mentioning results and the perspective are mapped and the outcomes are appeared to the client dependent on the arranging performed utilizing two segments 1) Frequency of watchword and 2) huge inquisitive words. The introduction of the proposed framework is assessed against the present structures.

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Section: B Ontology Planmentioning

confidence: 99%

Semantic Indexing and Concept Based Methods for Ontology Based Information Retrieval using Dbpedia

Priya¹

2019

IJEAT

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“…Recommended by the W3C, EMMA is probably going to become a standard for annotation of multimodal inputs. It has shown its usefulness especially for speech-based dialog in extensible multimodal applications (Reithinger & Sonntag, 2005;Manchón, del Solar, de Amores, & Pérez, 2006;Oberle et al, 2006).…”

Section: Semantics For Multimodalitymentioning

confidence: 99%

Leveraging Semantic Technologies towards Social Ambient Intelligence

Joly

Maret

Bataille³

2009

Context-Aware Mobile and Ubiquitous Computing for Enhanced Usability

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These times, when the amount of information exponentially grows on the Internet, when most people can be connected at all times with powerful personal devices, we need to enhance, adapt, and simplify access to information and communication with other people. The vision of ambient intelligence which is a relevant response to this need brings many challenges in different areas such as context-awareness, adaptive human-system interaction, privacy enforcement, and social communications. The authors believe that ontologies and other semantic technologies can help meeting most of these challenges in a unified manner, as they are a bridge between meaningful (but fuzzy by nature) human knowledge and digital information systems. In this chapter, the authors will depict their vision of “Social Ambient Intelligence” based on the review of several uses of semantic technologies for context management, adaptive human-system interaction, privacy enforcement and social communications. Based on identified benefits and lacks, and on their experience, they will propose several research leads towards the realization of this vision.

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“…Regrettably, however, even if there are-to some extent well considered-ontological structures like DOLCE, 1 it may nevertheless happen that some aspects of them are ignored in certain practical applications/contexts: ''It was too difficult for ontology engineers to understand the intended meaning of these [DOLCE] terms and to classify their own [concepts] underneath them. Hence, we only kept [X and added Y ...]'' (Oberle et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Toward cognitivist ontologies

Carstensen

2011

Cogn Process

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Ontologies play a key role in modern information society although there are still many fundamental questions regarding their structure to be answered. In this paper, some of these are presented, and it is argued that they require a shift from realist to cognitivist ontologies, with ontology design crucially depending on taking both cognitive and linguistic aspects into consideration. A detailed discussion of central parts of a proposed cognitivist upper ontology based on qualitative representations of selective attention is presented.

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DOLCE Ergo SUMO: On Foundational and Domain Models in the SmartWeb Integrated Ontology (SWIntO)

Cited by 21 publications

References 14 publications

Semantic Indexing and Concept Based Methods for Ontology Based Information Retrieval using Dbpedia

Semantic Indexing and Concept Based Methods for Ontology Based Information Retrieval using Dbpedia

Leveraging Semantic Technologies towards Social Ambient Intelligence

Toward cognitivist ontologies

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