日本データベース学会の皆様 （重複して受け取られた場合にはご容赦ください） 京都大学のアダムヤトフトです。NTCIR-13 Actionable Knowledge Graph (AKG)タスクのご案内です。 参加締切は【2016年12月15日】となっておりますので， ぜひともご参加を検討くださいますようよろしくお願い申し上げます。 ################################################### CALL FOR TASK PARTICIPATION NTCIR-13 Actionable Knowledge Graph (AKG) Task Website http://ntcirakg.github.io/index.html Facebook https://www.facebook.com/ntcirakg/ Twitter https://twitter.com/ntcirakg The dry run of our first subtask has started. Oct 15, 2016: Action Mining: Dry run topics + sample data release Nov 15, 2016: Action Mining: Dry run submissions due Dec 1, 2016: Action Mining: Dry run results release The “dry run” at NTCIR is a great opportunity to obtain initial evaluation results that can optimise your system for formal run submissions, so don’t miss it. Join us today: http://ntcir.nii.ac.jp/NTCIR13Regist/ === OVERVIEW === Knowledge graph (aka direct displays, cards, etc.) has become an increasingly common and important component in search engine result pages (SERPs). The objective of this new pilot task accepted to run at NTCIR-13 is to foster research on generating knowledge graphs that are optimised for facilitating users' actions (buying, booking, downloading, comparing, creating, etc.). To achieve this objective, we set two subtasks: Action Mining (AM) subtask and Actionable Knowledge Graph Generation (AKGG) subtask. === TASKS === In this pilot task, we set TWO subtasks to achieve and advance the technologies related to actionable knowledge graph presentations that can be used for search engines. ACTION MINING SUBTASK (AM) Input: Entity, Entity Type, and Wikipedia URL Output: A ranked list of actions For a given entity type (e.g., Place) and instance entity (e.g., "poland"), participants will be asked to find potential actions that can be taken (e.g., "visit poland", "buy a house in poland", "find weather in poland"). Participants are allowed to use any external resources (e.g., Action section in schema.org) to return a ranked list of potential actions. Up to 100 actions should be submitted for each query (pair of entity and its type). The format of each submitted action should contain verb and object (called also the modifier of a verb), where the object's length is limited to 50 characters. For example, in the above-mentioned case of "poland" as the entity instance of the Place type, "buy a house in poland" would be an action composed of a verb "buy" and object "a house in poland". Participants are allowed to submit up to three actions that share the same verb. Note that actions can sometimes lack objects (actions containing only a verb), in which case, the object is actually considered NULL. For example, for the entity "outlook express" of the type Product, "download" is an example of correct action that does not require any explicit object specified. This subtask can be seen as an open information extraction task, and allows us to accumulate a comprehensive set of actions that are related to a given entity type and entity instance. The returned actions will be assessed by crowdsourcing to be scored from 1 to 5. Actions will be evaluated not only based on their relevance but also based on diversity in order to prevent submissions of many similar actions (e.g., actions where verbs are synonyms or the objects have very similar meaning). For sample data see: http://ntcirakg.github.io/tasks.html ACTIONABLE KNOWLEDGE GRAPH GENERATION SUBTASK (AKGG) Input: Query, Entity Type, Entity, and Action Output: A ranked list of attributes of the type For a given search query, entity included in that query, the type of the entity, and action (e.g., "kyoto budget travel", "kyoto", location, "visit a temple"), participants will be asked to rank entity properties based on their relevance to the query. The query (input) can be ambiguous as in realistic search queries, and participants need to return the ranked list of relevant entity properties to create an actionable knowledge graph. Actions in the test queries will be taken from the outcomes of the Action Mining (AM) Subtask. Properties to be returned will be those defined as attributes of the entity type in schema.org vocabulary. Please note: Task participants must submit a paper to the NTCIR-13 Conference (unrefereed) and at least one member of each participating group must attend the conference (December 5-8, 2017, NII, Tokyo, Japan) to present their work. Please visit task website for more information: http://ntcirakg.github.io/index.html === IMPORTANT DATES === Oct 15, 2016: AM: Dry run topics + sample data release Nov 15, 2016: AM: Dry run submissions due Dec 1, 2016: AM: Dry run results release Dec 15, 2016: Task registration due Jan 1, 2017: AM: Formal run topics release Feb 1, 2017: AM: Formal run submissions due Feb 15, 2017: AM: Formal run results release Mar 15, 2017: AKGG: Dry run topics + training data release Apr 15, 2017: AKGG: Dry run submissions due May 15, 2017: AKGG: Dry run results release Jun 15, 2017: AKGG: Formal run topics release Jul 15, 2017: AKGG: Formal run submissions due Sep 1, 2017: AKGG: Formal run results release & Partial Overview paper release Oct 1, 2017: Participants’ papers due Nov 1, 2017: Camera-ready papers due Dec 5-8, 2017: NTCIR-13 conference @ NII, Tokyo, Japan === ORGANIZERS === Roi Blanco (University of A Coruña, Spain) Hideo Joho (University of Tsukuba, Japan) Adam Jatowt (Kyoto University, Japan) Haitao Yu (University of Tsukuba, Japan) Shuhei Yamamoto (University of Tsukuba, Japan) === CONTACT === ntcir-akg at googlegroups.com