Previous analysis of real query logs shows that the intention of more than half of Web queries is to find a particular entity, find entities of a particular type, or find values of a particular attribute of an entity. This problem of entity retrieval, or more generally, semantic search, has received increasing research attention from the Information Retrieval (IR) and Semantic Web communities, using text (e.g., webpages) and structured data (e.g., RDF, Wikidata), respectively. This hybrid of unstructured and structured retrieval is appealing to researchers and practitioners in the areas of IR, Database, Semantic Web, and Artificial Intelligence (AI). This workshop series is a venue to bridge different communities and develop a renewed interest. It provides a platform where interdisciplinary studies of entity retrieval and semantic search can be presented, and focused discussions can take place.
We also organize two shared tasks related to entity retrieval, in order to assess strengths and weaknesses of existing systems, compare performance of techniques, and enhance communication among researchers and developers.
We welcome contributions related to any aspect of entity retrieval and semantic search, including theories, algorithms, experiments, and applications. Relevant topics include but are not limited to the following:
Manuscripts should be submitted electronically, as PDF formatted using the ACM camera-ready templates; please use sample-sigconf.tex as the template. Submissions are reviewed in a single-blind manner. Papers should be submitted through the EYRE '18 online submission system.
The CIKM 2018 workshops proceedings will be published all together in the CEUR workshop series. At least one author of each accepted paper is expected to attend the workshop and present.
We also organize two shared tasks: entity summarization and entity search. Accepted system papers will also be invited to present at the workshop.