Matches in ScholarlyData for { ?s ?p ?o. }
- 224 creator benedikt-kaempgen.
- 224 creator craig-weber.
- 224 creator sean-oriain.
- 224 creator tobias-weller.
- 224 type InProceedings.
- 224 label "Accepting the XBRL Challenge with Linked Data for Financial Data Integration".
- 224 sameAs 224.
- 224 abstract "Analysts spend a disproportionate amount of time with financial data curation before they are able to compare company performances in an analysis. The Extensible Business Reporting Language (XBRL) for annotating financial facts is suited for automatic processing to increase information quality in financial analytics. Still, XBRL does not solve the problem of data integration as required for a holistic view on companies. Semantic Web technologies promise benefits for financial data integration, yet, existing literature lacks concrete case studies. In this paper, we present the Financial Information Observation System (FIOS) that uses Linked Data and multidimensional modelling based on the RDF Data Cube Vocabulary for accessing and representing relevant financial data. FIOS fulfils the information seeking mantra of ``overview first, zoom and filter, then details on demand'', integrates yearly and quarterly balance sheets, daily NASDAQ stock quotes as well as company and industry background information and helps analysts creating their own analyses with Excel-like functionality.".
- 224 hasAuthorList authorList.
- 224 isPartOf proceedings.
- 224 keyword "Linked Data".
- 224 keyword "XBRL".
- 224 keyword "analytics".
- 224 keyword "data integration".
- 224 keyword "finance".
- 224 title "Accepting the XBRL Challenge with Linked Data for Financial Data Integration".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasItem item-5.
- authorList hasLastItem item-5.
- item-1 type ListItem.
- item-1 hasContent benedikt-kaempgen.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent tobias-weller.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent sean-oriain.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent craig-weber.
- item-4 next item-5.
- item-4 previous item-3.
- item-5 type ListItem.
- item-5 hasContent andreas-harth.
- item-5 previous item-4.
- 244 creator alex-stolz.
- 244 creator andreas-radinger.
- 244 creator bene-rodriguez-castro.
- 244 creator martin-hepp.
- 244 type InProceedings.
- 244 label "PCS2OWL: A Generic Approach for Deriving Web Ontologies from Product Classification Systems".
- 244 sameAs 244.
- 244 abstract "The classification of products and services enables reliable and efficient electronic exchanges of product data across organizations. Many companies classify products (a) according to generic or industry-specific product classification standards, or (b) by using proprietary category systems. Such classification systems often contain thousands of product classes that are updated at regular intervals. This implies a large quantity of useful information which the e-commerce Web of Data could immediately benefit from. Thus, instead of building up product ontologies from scratch, which is costly, tedious, error-prone, and high-maintenance, it is generally easier to derive them from existing classifications. In this paper, we (1) describe a generic, semi-automated method for deriving OWL ontologies from product classification standards and proprietary category systems. Moreover, we (2) show that our approach generates logically and semantically correct vocabularies, and (3) present the practical benefit of our approach. The resulting product ontologies are compatible with the GoodRelations vocabulary for e-commerce and with schema.org and can be used to enrich product and offer descriptions on the Semantic Web, allowing for better product searches.".
- 244 hasAuthorList authorList.
- 244 isPartOf proceedings.
- 244 keyword "GoodRelations".
- 244 keyword "OWL".
- 244 keyword "catalog group systems".
- 244 keyword "classification standards".
- 244 keyword "converter".
- 244 keyword "product category systems".
- 244 keyword "product ontologies".
- 244 keyword "schema.org".
- 244 title "PCS2OWL: A Generic Approach for Deriving Web Ontologies from Product Classification Systems".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent alex-stolz.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent bene-rodriguez-castro.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent andreas-radinger.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent martin-hepp.
- item-4 previous item-3.
- 31 creator dan-scott.
- 31 type InProceedings.
- 31 label "Seeding Structured Data by Default via Open Source Library Systems".
- 31 sameAs 31.
- 31 abstract "Most libraries use the machine-readable cataloguing (MARC) format to encode and exchange metadata about the items they make available to their patrons. Traditional library systems have not published this data on the Semantic Web. However, some agile open source library systems have begun closing this gap by publishing structured data that uses the schema.org vocabulary to describe the bibliographic data, make offers for items available for loan, and link the items to their owning libraries. This article distills the lessons learned from implementing structured data in Evergreen, Koha, and VuFind; highlights emerging design patterns for publishing structured data in other library systems; and traces the influence these implementation experiences have had on the evolution of the schema.org vocabulary. Finally, we discuss the impact that "the power of the default" publishing of structured data could have on discoverability of library offerings on the Semantic Web.".
- 31 hasAuthorList authorList.
- 31 isPartOf proceedings.
- 31 keyword "Libraries".
- 31 keyword "MARC formats".
- 31 keyword "Open source".
- 31 keyword "Structured data".
- 31 keyword "schema.org".
- 31 title "Seeding Structured Data by Default via Open Source Library Systems".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasLastItem item-1.
- item-1 type ListItem.