Multi-hop query answering over a Knowledge Graph (KG) involves traversing one or more hops from the start node to answer a query. Path-based and logic-based methods are state-of-the-art for multi-hop question answering. The former is used in link prediction tasks. The latter is for answering complex logical queries. The logical multi-hop querying technique embeds the KG and queries in the same embedding space. The existing work incorporates First Order Logic (FOL) operators, such as conjunction ($\wedge$), disjunction ($\vee$), and negation ($\neg$), in queries. Though current models have most of the building blocks to execute the FOL queries, they cannot use the dense information of multi-modal entities in the case of Multi-Modal Knowledge Graphs (MMKGs). We propose RConE, an embedding method to capture the multi-modal information needed to answer a query. The model first shortlists candidate (multi-modal) entities containing the answer. It then finds the solution (sub-entities) within those entities. Several existing works tackle path-based question-answering in MMKGs. However, to our knowledge, we are the first to introduce logical constructs in querying MMKGs and to answer queries that involve sub-entities of multi-modal entities as the answer. Extensive evaluation of four publicly available MMKGs indicates that RConE outperforms the current state-of-the-art.

We are calculating the number of ratings using the count method of a data frame. Using the count method helps count the number of not empty values for each column and returns the result for each column. Sorting by number of ratings, we now see some results. "Star Wars," which is a very famous movie, has got a mean of 4.35 as a rating from 583 users. We are creating a pivot table just to quickly summarize the amount of data we have.

Balazs Horanyi is an engineer and data scientist at Stream. These days, when it comes to capturing and holding an audience's attention you must deliver the most relevant content possible. Whether searching for jobs or something more important, like looking at cat memes, your reader expects to see content relevant to them – personalized content. However, getting your users to optimal digital consumption nirvana (coin new term – check!) can be unexpectedly difficult. While it isn't rocket science, it does involve some brain power… Companies like Netflix and Pinterest have tackled this issue and pioneered personalization for their audiences.

Is there a cantina?Disney reveals plans for a'Star Wars' hotel One of the big announcements from D23 this weekend (beyond details on Star Wars-inspired theme parks due in 2019) is the news that Disney will open a Star Wars resort in Orlando. The hotel itself will be filled with familiar-looking aliens, while the windows will appear to look out into space. Basically, it sounds like Disney is extending the interactivity you typically find in its theme-park experiences with one of its resort hotels. And there's a'Toy Story' tie-in'Kingdom Hearts 3' has a release date: 2018 Square Enix made an appearance at D23 and dropped off a new trailer for its next Kingdom Hearts game that revealed its heroes will visit the world of Toy Story. Also, the release window has been narrowed down to 2018.