Name
Abstract | ||
|---|---|---|
In the recent years, Linked Data and Language Technology solutions gained popularity. Nevertheless, their coupling in real-world business is limited due to several issues. Existing products and services are developed for a particular domain, can be used only in combination with already integrated datasets or their language coverage is limited. In this paper, we present an innovative solution FREME - an open framework of e-Services for multilingual and semantic enrichment of digital content. The framework integrates six interoperable e-Services. We describe the core features of each e-Service and illustrate their usage in the context of four business cases: i) authoring and publishing; ii) translation and localisation; iii) cross-lingual access to data; and iv) personalised Web content recommendations. Business cases drive the design and development of the framework. |
Year | Venue | Keywords |
|---|---|---|
2016 | LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | Linked Data,NLP,multilinguality,enrichment |
Field | DocType | Citations |
Information retrieval,Computer science,Linked data,Natural language processing,Artificial intelligence | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Milan Dojchinovski | 1 | 42 | 8.05 |
| Felix Sasaki | 2 | 30 | 13.29 |
| Tatjana Gornostaja | 3 | 1 | 0.70 |
| Sebastian Hellmann | 4 | 2007 | 130.09 |
| Erik Mannens | 5 | 671 | 99.58 |
| Frank Salliau | 6 | 3 | 1.46 |
| Michele Osella | 7 | 0 | 0.34 |
| Phil Ritchie | 8 | 0 | 0.34 |
| Giannis Stoitsis | 9 | 14 | 3.50 |
| Kevin Koidl | 10 | 4 | 4.31 |
| Markus Ackermann | 11 | 0 | 0.34 |
| Nilesh Chakraborty | 12 | 0 | 0.34 |