Semantic Search and Faceting Sample Clauses

Semantic Search and Faceting. The semantic search should deal with all EFD classification dimensions (facets) as described in [Xxxxxxx 2015a] sec 2. The first few (places, cultures, agents, events) are generic. The last few (concepts, foods, drinks, festivities) are FD-specific and the reason why we need EFD classification-specific processing (most of the previous subsections). Each concept captured by Semantic Enrichment (Automatic Enrichment and Manual Curation) has additional useful information: • It is part of a meaningful hierarchy, e.g.: • Chicken is Meat • Pestle is <grinding and milling equipment>44, together with grinders, mortars, grindstones, manos, and (according to Getty) sausage stuffers • Austral Islands is in French Polynesia • Christmas Bread is a kind of Christmas food • Bread Loaf is a type of bread • Bread Loaf is associated with Bulgarian Cuisine • Some have additional information (see sec. 2.3.7), e.g. • Bulgarian Cuisine is related to the place Bulgaria • Creole cuisine is related to the Creole culture • Austral Islands has coordinates S 23° 0' 0'', W 150° 0' 0'' • Bread is mostly made of grains This enables powerful searches by concept, higher-order concept, geospatial (within rectangle or near a place), etc. It also enables faceting by object type, food or ingredient type, location etc. As an example, here is an integrated semantic search UI developed by Ontotext in the news domain (you can try a similar UI at this News Demo45). 44 xxxx://xxx.xxxxx.xxx/vow/AATHierarchy?find=&logic=AND&note=&subjectid=300024716 45 xxxx://xxxx.xxxxxxxx.xxx/ • Top-right has a conceptual search (in this case by Person, Concept, and Country) • The main frame shows an article, with the top concepts and their relevance to the article highlighted in orange. • It also shows Similar Articles, clustered by semantic features (see sec.2.13.4) • Below it are some semantic facets (Person, Location, Position) • On the right is a popularity comparison of two concepts (Soccer vs American Football) over time. This is directly applicable only to the current news domain, but a similar idea could be adapted to CH.‌ 2.9.1 Auto-completion
Sample 1
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