Ranking objects based on relationships and fixed associations

Text corpora are often enhanced by additional metadata which relate real-world entities, with each document in which such entities are discussed. Such relationships are typically obtained through widely available Information Extraction tools. At the same time, interesting known associations typically hold among these entities. For instance, a corpus might contain discussions on hotels, cities and airlines; fixed associations among these entities may include: airline A operates a flight to city C, hotel H is located in city C. A plethora of applications necessitate the identification of associated entities, each best matching a given set of keywords. Consider the sample query: Find a holiday package in a “pet-friendly” hotel, located in a “historical” yet “lively” city, with travel operated by an “economical” and “safe” airline. These keywords are unlikely to occur in the textual description of entities themselves, (e.g., the actual hotel name or the city name or...

• Type: Conference
• Year: 2009
• Where: EDBT
• Authors: Albert Angel, Surajit Chaudhuri, Gautam Das, Nick Koudas
• Keywords: City C, EDBT 2009, Entities, Real-world Entities