We describe a guilt-by-association system that can be used to rank networked entities by their suspiciousness. We demonstrate the algorithm on a suite of data sets generated by a terrorist-world simulator developed to support a DoD program. Each data set consists of thousands of entities and some known links between them. The system ranks truly malicious entities highly, even if only relatively...

We present a new resource for annotating and visualizing the meaning of place names in natural language text, along with insights gained from analysis of manual annotations. The work addresses the issue of place name (toponym) meaning resolution, moving beyond simple named entity recognition to address the problem of grounding textual references, i.e., making a connection between the references...

Complex entities are one of the most popular ways to model relationships among data. Especially complex entities, known as physical assemblies, are popular in several applications. Typically, complex entities consist of several parts organized at many nested levels. Contemporary query languages intended for manipulating complex entities support only extensional queries. Likewise, the user has t...

Evidence-Based Practice (EBP) represents a decision-making process centered on justifications of relevant information. Context is a kind of knowledge that supports the ability to define what is or is not relevant in a given situation. The decision-making context can have an impact on evidencebased decision-making, but the integration of evidence and context is still an open issue. Ontology is r...

 ABRIR at NTCIR-8 Approach C t ti f N d E tit d t b Construction of Boolean query by using pseudo relevant documents Named entity is more important than others Verb synonym list is used for increasing coverage Combination of Boolean IR model and probabilistic IR model (Okapi) Penalty is applied for documents that don’t satisfy Boolean query Named entity is more important than others  F...

We describe a guilt-by-association system that can be used to rank networked entities by their suspiciousness. We demonstrate the algorithm on a suite of data sets generated by a terrorist-world simulator developed to support a DoD program. Each data set consists of thousands of entities and some known links between them. The system ranks truly malicious entities highly, even if only relatively...

Qualitative information about spatial or temporal entities is represented by specifying qualitative relations between these entities. It is then possible to apply qualitative reasoning methods for tasks such as checking consistency of the given information, deriving previously unknown information or answering queries. Depending on the kind of information that is represented, qualitative reasoni...

Recently, attribute based access control (ABAC )has received considerable attention from the secu-rity community for its policy flexibility and dynamicdecision making capabilities. In ABAC, authoriza-tion decisions are made based on various attributesof entities involved in the access (e.g., users, sub-jects, objects, context, etc.). In an ABAC system,a proper attrib...

Community question answering systems are forums where users can ask and answer questions in various categories. Examples are Yahoo! Answers, Quora, and Stack Overflow. A common challenge with such systems is that a significant percentage of asked questions are left unanswered. In this paper, we propose an algorithm to reduce the number of unanswered questions in Yahoo! Answers by reusing the an...