Call for Papers

FoRESEE 2015: Big Data and Semantic Technologies in Backend and Frontend of Future Search Engines aims at analyzing and integrating vast amounts of data and semantic technologies in search engines.

This workshop will discuss state-of-the-art approaches and methodologies regarding industrial as well as research search-driven applications and technologies.

Focus: Big Data and Search (Backend)

Search Engines are prime examples of Big Data technology. In addition to processing huge amounts of data, its storage, analysis and management are central issues of Big Data. Various diverse crawling, mining, linking and integration methods form the basis of every modern search technology. Nowadays, search engines exceed classic keyword-based document retrieval by leveraging semantic technologies such as question answering, user context inception and conversational interaction. Furthermore, semantic datasets such as the Linked Open Data Cloud are freely available, supporting knowledge acquisition at scale. Intelligent linking of knowledge to answer a specific search need by using geo-spatial information, multimedia and social data is regarded as key to the satisfaction of the user information need.

Focus: Human-Semantic Interaction and Human-Computer Interaction (Frontend)

Visually well represented search results are an important factor for the success of a search engine. Next to presenting large amount of data to the user, we focus on the integration of semantic technologies in Web-Interfaces. Traditional non-semantic search engines demand different interfaces. Data from knowledge bases, such as the Google Knowledge Graph, needs special representation. In particular, the semantic component of the query needs to be explicitly depicted. Semantic entities have to be conveyed in an adequate way by a smart interaction design. Resulting user data generated inside the browser can be intercepted and be further utilized to optimize the search interaction. Client-side data comprises mouse cursor movement, page visits and clicks on certain results. For instance, this data enables improving ranking results iteratively. Additionally, the increasing vast amount of data requires stream-based technologies to handle resulting information efficiently.

Expected papers deal with innovative ideas, methods, models, techniques, case studies and practical experiences. The aforementioned description can be expanded by the following points:

1. Big Data and Semantic Search

  • Analysis of Linked Data and the Internet of Things
  • Management and efficient storage
  • Big Data analytics, e.g., Map-Reduce algorithms
  • Recommender Systems
  • Architectures and frameworks for Semantic Search using Big Data
  • Search on non-relational storage solutions (NoSQL), e.g., triplestores, graph databases, full-text indexes, etc.
  • Data cleansing, integration and Best Practices
  • Combining Web technologies with Big Data and Semantic Web
  • Social, semantic, explorative and multimedia search
  • Query processing and result ranking
  • Question Answering
  • (Industrial) use cases

2. Human-Semantic Interaction and Human-Computer Interaction with Search-driven Applications

  • Visual representation of Linked and Big Data
  • Interfaces for representing natural language queries
  • Mobility and Semantic Search
  • Cutting-Edge and rising technologies for search-driven HCI
  • Best Practices for representing semantic data
  • Integration of implicit and explicit user feedback
  • (Industrial) use cases

This listing raises no claim of completeness. Contributions handling topics other than the mentioned ones will be considered as well as if they fit the context of the workshop.

Submission can be made using We encourage for submitting research papers, position papers and work-in-progress papers as well as experience reports.


Please also see the important dates and the author guidelines.