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OBJECTIVES To quantify semantic inconsistency in UMLS concepts from the perspective of their hierarchical relations and to show through examples how semantically-inconsistent concepts can help reveal erroneous synonymy relations. METHODS Inconsistency is defined in reference to concepts from the UMLS Metathesaurus. Consistency is evaluated by comparing(More)
For some computational problems (e.g., product configuration, planning, diagnosis, query answering, phylogeny reconstruction) computing a set of similar/diverse solutions may be desirable for better decision-making. With this motivation, we have studied several decision/optimization versions of this problem in the context of Answer Set Programming (ASP),(More)
We present new methods to efficiently answer complex queries over biomedical ontologies and databases considering the relevant parts of these knowledge resources, and to generate shortest explanations to justify these answers. Both algorithms rely on the high-level representation and efficient solvers of Answer Set Programming. We apply these algorithms to(More)
We study finding similar or diverse solutions of a given computational problem, in answer set programming, and introduce offline methods and online methods to compute them using answer set solvers. We analyze the computational complexity of some problems that are related to finding similar or diverse solutions , and show the applicability and effectiveness(More)
This paper presents a statistical speech-to-speech machine translation (MT) system for limited domain applications using a cascaded approach. This architecture allows for die creation of multilingual applications. In this paper, the system architecture and its components , including the speech recognition, parsing, information extraction , translation,(More)
We study two declarative programming languages namely Answer Set Programming (ASP) and Constraint Programming (CP) on four grid puzzles: Akari, Kakuro, Nurikabe, and Heyawake. We represent these problems in both formalisms in a systematic way and compute their solutions using ASP system Clasp and CP system Comet. We compare the ASP approach with the CP(More)
In this paper, we present a person identification system for vehicular environments. The proposed system uses face images of the driver and utilizes local appearance-based face recognition over the video sequence. To perform local appearance-based face recognition, the input face image is decomposed into non-overlapping blocks and on each local block,(More)
For some problems with many solutions, like planning and phylogeny reconstruction, one way to compute more desirable solutions is to assign weights to solutions, and then pick the ones whose weights are over (resp. below) a threshold. This paper studies computing weighted solutions to such problems in Answer Set Programming. We investigate two sorts of(More)
We introduce a new method to find semantic inconsistencies (i.e., concepts with erroneous synonymity) in the Unified Medical Language System (UMLS). The idea is to identify the inconsistencies by comparing the semantic groups of hierarchically-related concepts using Answer Set Programming. With this method, we identified several inconsistent concepts in(More)