Comparing entities are an important part of decision making process. To assist decision making it is useful to compare entities that share common utility but have distinguishing peripheral features. One possible approach is comparable entity mining from comparative questions. The technique used is weakly supervised bootstrapping approach which identifies the comparative question and extract the...

Dictionary-based entity extraction involves finding mentions of dictionary entities in text. Text mentions are often noisy, containing spurious or missing words. Efficient algorithms for detecting approximate entity mentions follow one of two general techniques. The first approach is to build an index on the entities and perform index lookups of document substrings. The second approach recogniz...

We present a formalized account of decision making as a multi-step process that involves several classes of participating entities. A series of increasingly formal representations of the decision problem are developed, from a mental model conceived by the decision maker to a knowledge base that may be used in a decision support system.

The financial success of centers of excellence typically depends on effective utilization of the OR. Therefore, it's important to align the strategy, structure, information and reporting systems, culture, and behavior of both entities. Moving from management based on anecdote to a data-driven process can enhance the quality of decision-making.

Air traffic flow management is an inherently complex decision making process that involves a variety of entities. We propose an agent-based system to facilitate mutually beneficial air traffic management decisions, and identify challenges that must be met for its implementation.

Collective entity disambiguation, or collective entity linking aims to jointly resolve multiple mentions by linking them to their associated entities in a knowledge base. Previous works largely based on the underlying assumption that entities within the same document are highly related. However, the extend to which these mentioned entities are actually connected in reality is rarely studied and...

In certain fields, real-time knowledge from events can help in making informed decisions. In order to extract pertinent realtime knowledge related to an event, it is important to identify the named entities and their corresponding aliases related to the event. The problem of identifying aliases of named entities that spike has remained unexplored. In this paper, we introduce an algorithm, Entit...

Web Integration System (WIS) provides abundant structured information about entities in a domain. Interrelationships for entities in WIS are valuable for further analysis and decision-making. It is not rare that an entity pair has more than one semantic relationship. However, existing researches on relation extraction ignore this situation and they assume that one entity pair has only one seman...

Autonomous entities in artificial societies are only willing to cooperate with entities they trust. Reputation systems keep track of the entities’ behavior and, thus, are a widely used means to support trust formation. In a P2P network, the reputation system needs to be distributed to the individual entities. In previous work, we have shown that some of the limitations of distributed reputation...