Exploiting Genomic Relations in Big Data Repositories by Graph-Based Search Methods

Querying Process Models Repositories by Aggregated Graph Search

Business process modeling is essential in any process improvement project. Yet, it is a time consuming and an error-prone step. With a rapidly increasing number of process models developed by different process designers, it becomes crucial for business process designers to reuse knowledge existing in model repositories, e.g., to find solutions for a recurring situation. Process model querying p...

Beyond Graph Search: Exploring and Exploiting Rich Connected Data Sets

Modern Web data is highly structured in terms of entities and relations from large knowledge resources, geo-temporal references and social network structures, resulting in a massive multidimensional graph. This graph essentially unifies both the searcher and the information resources that played a fundamentally different role in traditional information retrieval. Graph search-based systems offe...

Exploiting Belief State Structure in Graph Search

It is well-known that eliminating repeated states is essential for efficient search of state-space AND-OR graphs. The same technique has been found useful for searching beliefstate AND-OR graphs, which arise in nondeterministic partially observable planning problems and in partially observable games. Whereas physical states are viewed by search algorithms as atomic and admit only equality tests...

Search in BigData - When Big Text meets Big Graph

Search in BigData 2 - When Big Text meets Big Graph