Titlebook: Methods For Monitoring Tiger And Prey Populations; K. Ullas Karanth,James D. Nichols Book 2017 Springer Nature Singapore Pte Ltd. 2017 Ada

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K. Ullas Karanth,John M. Goodrich,Dale G. Miquelle,Krishnamurthy Ramesh,Abishek Harihar,Anak Pattanathe text, we follow the approach adopted in Conditional Random Fields. We decompose the cold-start knowledge base population task into the specific problems of entity recognition, entity linking and slot-filling, and show how they can be modeled using Conditional Random Fields.

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James D. Nichols,K. Ullas Karanth,Arjun M. Gopalaswamy,Mohan Delampadythe text, we follow the approach adopted in Conditional Random Fields. We decompose the cold-start knowledge base population task into the specific problems of entity recognition, entity linking and slot-filling, and show how they can be modeled using Conditional Random Fields.

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James D. Nichols,Varun R. Goswami,Ravishankar Parameshwaran,Soumen Dey,K. Ullas Karanthe infrastructures for data storage and indexing, they couple the data computation with probabilistic inference, the latter of which remains a #P-hard problem also in the context of PDBs..In this chapter, we provide a review on the key concepts of PDBs with a particular focus on our own recent resear

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N. Samba Kumar,Mahi Puri,Dale G. Miquelle,Anak Pattanavibool,Abishek Harihar,Sunarto Sunarto,Srinivae infrastructures for data storage and indexing, they couple the data computation with probabilistic inference, the latter of which remains a #P-hard problem also in the context of PDBs..In this chapter, we provide a review on the key concepts of PDBs with a particular focus on our own recent resear

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Samantha Strindberg,N. Samba Kumar,Len Thomas,Varun R. Goswamig., in Python or C++. We consider how to solve problems using the ASP paradigm, and specifically discuss how to use external atoms in this context, illustrated by examples. As a showcase, we demonstrate the development of a . program for a concrete real-world problem using Semantic Web technologies,

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N. Samba Kumar,Abishek Harihar,Hannah J. O’Kelly,Anak Pattanaviboolalizing two exemplary reasoning modes, namely branch-and-bound-based optimization and incremental ASP solving. We then switch to the design of the API for integrating complementary forms of reasoning and detail this in an extensive case study dealing with the integration of difference constraints. W

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Robert M. Dorazio,N. Samba Kumar,J. Andrew Royle,Arjun M. Gopalaswamyering some unbounded federated queries and the high computational complexity of the evaluation problem for queries including navigation functionalities. Finally, we discuss on possible alternatives to overcome these issues and their implications on the adoption of the standard.

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J. Andrew Royle,Arjun M. Gopalaswamy,Robert M. Dorazio,James D. Nichols,Devcharan Jathanna,Ravishanks of the relevant data and the system generalizes these examples into extraction programs. We focus particularly on declarative and rule-based paradigms. In the second part, we turn to fully automated (or unsupervised) approaches where the system by itself identifies the relevant data and fully auto

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Samrat Mondol,Uma Ramakrishnan,Olutolani Smith,Devcharan Jathannang; tractable description logics and their use for ontology-based data access; and the social semantic desktop, which defines a user’s personal information environment as a source and end-point of the semantic web..978-3-642-03753-5978-3-642-03754-2Series ISSN 0302-9743 Series E-ISSN 1611-3349