With the rise of Linked Data technologies, there come several new approaches into play for the improvement of customer experience across all digital channels of a company. All of these methodologies can be subsumed under the term “the connected customer”.
These are interesting not only for retailers operating a web shop, but also for enterprises seeking for new ways to develop tailor-made customer services and to increase customer retention.
Linked Data methodologies can help to improve several measurements alongside a typical customer experience lifecycle.
Since PoolParty fully supports SPARQL 1.1 functionalities you can use clauses like VALUES. The VALUES clause can be used to provide an unordered solution sequence that is joined with the results of the query evaluation. From my perspective it is a convenience of filtering variables and an increase in readability of queries.
E.g. when you want to know which cocktails you can create with Gin and a highball glass you can go to http://vocabulary.semantic-web.at/PoolParty/sparql/cocktails and fire this query:[read more]
The accelerating pace of change in the economic, legal and social environment combined with tendencies towards increased decentralization of organizational structures have had a profound impact on the way we organize and utilize and organize knowledge. The internet as we know it today and especially the World Wide Web as the multimodal interface for the presentation and consumption of multimedia information are the most prominent examples of these developments. To illustrate the impact of new communication technologies on information practices Saumure & Shiri (2008) conducted a survey on knowledge organization trends in the Library and Information Sciences before and after the emergence of the World Wide Web. Table 1 shows their results.[read more]
Just a couple of years ago critics argued that the semantic approach in IT wouldn’t make the transformation from an inspiring academic discipline to a relevant business application. They were wrong! With the digitalization of business, the power of semantic solutions to handle Big Data became obvious.Thanks to a dedicated global community of semantic technology experts, we can observe a rapid development of software solutions in this field. The progress is coupled to a fast growing number of corporations that are implementing semantic solutions to win insights from existing but unused data.
Knowledge transfer is extremely important in semantics. Let`s have a look on the community calendar for the upcoming months. We are looking forward to share our experiences and learn. Join us!
Traditional KOSs include a broad range of system types from term lists to classification systems and thesauri. These organization systems vary in functional purpose and semantic expressivity. Most of these traditional KOSs were developed in a print and library environment. They have been used to control the vocabulary used when indexing and searching a specific product, such as a bibliographic database, or when organizing a physical collection such as a library (Hodge et al. 2000).KOS in the era of the Web
With the proliferation the World Wide Web new forms of knowledge organization principles emerged based on hypertextuality, modularity, decentralisation and protocol-based machine communication (Berners-Lee 1998). New forms of KOSs emerged like folksonomies, topic[read more]
Enabling and managing interoperability at the data and the service level is one of the strategic key issues in networked knowledge organization systems (KOSs) and a growing issue in effective data management. But why do we need “semantic” interoperability and how can we achieve it?Interoperability vs. Integration
The concept of (data) interoperability can best be understood in contrast to (data) integration. While integration refers to a process, where formerly distinct data sources and their representation models are being merged into one newly consolidated data source, the concept of interoperability is defined by a structural separation of knowledge sources and their[read more]
For the Nolde project it was requested to build a knowledge graph, containing detailed information about the austrian music scene: artists, bands and their music releases. We decided to use PoolParty, since theses entities should be accessible in an editorial workflow. More details about the implementation will be provided in a later blog post.
In the first round I want to share my experiences with the mapping of music data into SKOS. Obviously, LinkedBrainz was the perfect source to collect and transform such data since this is available as RDF/NTriples dumps and even providing a SPARQL endpoint! LinkedBrainz data is modeled using the Music Ontology.
E.g. you can select[read more]