Search results for "Data Semantics"

showing 3 items of 3 documents

Evolution-Oriented User-Centric Data Warehouse

2011

Data warehouses tend to evolve, because of changes in data sources and business requirements of users. All these kinds of changes must be properly handled, therefore, data warehouse development is never-ending process. In this paper we propose the evolution-oriented user-centric data warehouse design, which on the one hand allows to manage data warehouse evolution automatically or semi-automatically, and on the other hand it provides users with the understandable, easy and transparent data analysis possibilities. The proposed approach supports versions of data warehouse schemata and data semantics.

Business requirementsDatabaseComputer scienceProcess (engineering)Data transformationInformationSystems_DATABASEMANAGEMENTDimensional modelingcomputer.software_genrecomputerData warehouseUser-centered designData semantics
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Semantic to intelligent web era

2013

International audience; The Web has known a very fast evolution: going from the Web 1.0, known as Web of Documents where users are merely consumers of static information, to the more dynamic Web 2.0, known as social or collaborative Web where users produce and consume information simultaneously, and entering the more sophisticated Web 3.0, known as the Semantic Web by giving information a well-defined meaning so that it becomes more easily accessible by human users and automated processes. Fostering service intelligence and atomicity (the ability of autonomous services to interact automatically), remains one of the most upcoming challenges of the Semantic Web. This promotes the dawn of a ne…

Web standards[ INFO.INFO-IR ] Computer Science [cs]/Information Retrieval [cs.IR]medicine.medical_specialty[INFO.INFO-WB] Computer Science [cs]/WebComputer scienceInternet of Things[ INFO.INFO-WB ] Computer Science [cs]/Web[SCCO.COMP]Cognitive science/Computer sciencecomputer.software_genreSPARQLData SemanticsSocial Semantic WebRDFKnowledge baseIntelligent ServicesWorld Wide Web[SCCO.COMP] Cognitive science/Computer sciencemedicine[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB]Semantic Web StackSemantic WebData WebSemantic WebOWL[ INFO.INFO-MM ] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-MM] Computer Science [cs]/Multimedia [cs.MM][INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-MM]Computer Science [cs]/Multimedia [cs.MM]XMLWeb[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB][INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR][ SCCO.COMP ] Cognitive science/Computer science[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]Web serviceWeb intelligencebusinesscomputerWeb modelingProceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
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Semantics of Voids within Data: Ignorance-Aware Machine Learning

2021

Operating with ignorance is an important concern of geographical information science when the objective is to discover knowledge from the imperfect spatial data. Data mining (driven by knowledge discovery tools) is about processing available (observed, known, and understood) samples of data aiming to build a model (e.g., a classifier) to handle data samples that are not yet observed, known, or understood. These tools traditionally take semantically labeled samples of the available data (known facts) as an input for learning. We want to challenge the indispensability of this approach, and we suggest considering the things the other way around. What if the task would be as follows: how to buil…

luokitus (toiminta)paikkatiedotlcsh:G1-922data miningprototype selectionignorancekoneoppiminenclassificationdata semanticstiedonlouhintaadversarial learningdata voidslcsh:Geography (General)ISPRS International Journal of Geo-Information
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