Abstract: Facilitation of reclaiming of storage space is enabled relative to one or more data streams employing the storage space. A system can comprise a processor, and a memory that stores computer executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise determining posting or non-posting of one or more specified cut positions from readers of events thus far appended to a stream of a stream storage system. The operations can further comprise, in response to the one or more specified cut positions being posted, truncating the stream based on the specified cut positions of the stream, and, in response to no specified cut positions being posted, truncating the stream based on a time limit or a space limit relative to a respective time quantity or a respective space quantity of the stream.

Abstract: Facilitation of reclaiming of storage space is enabled relative to one or more data streams employing the storage space. A system can comprise a processor, and a memory that stores computer executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise determining posting or non-posting of one or more specified cut positions from readers of events thus far appended to a stream of a stream storage system. The operations can further comprise, in response to the one or more specified cut positions being posted, truncating the stream based on the specified cut positions of the stream, and, in response to no specified cut positions being posted, truncating the stream based on a time limit or a space limit relative to a respective time quantity or a respective space quantity of the stream.

Abstract: A system includes a content extraction engine comprising at least one processor and configured to receive a content page for a target product including product data for the target product and noise content unrelated to the target product, identify noise content pertaining to data unrelated to the target product, remove noise content from the content page, thereby generating a remainder content page containing target product data usable to enable product comparison between multiple sources.

Abstract: A system includes a content extraction engine comprising at least one processor and configured to receive a content page for a target product including product data for the target product and noise content unrelated to the target product, identify noise content pertaining to data unrelated to the target product, remove noise content from the content page, thereby generating a remainder content page containing target product data usable to enable product comparison between multiple sources.

Abstract: A system includes a content extraction engine comprising at least one processor and configured to receive a content page for a target product including product data for the target product and noise content unrelated to the target product, identify noise content pertaining to data unrelated to the target product, remove noise content from the content page, thereby generating a remainder content page containing target product data usable to enable product comparison between multiple sources.

Abstract: A system includes a content extraction engine comprising at least one processor and configured to receive a content page for a target product including product data for the target product and noise content unrelated to the target product, identify noise content pertaining to data unrelated to the target product, remove noise content from the content page, thereby generating a remainder content page containing target product data usable to enable product comparison between multiple sources.

Abstract: A system includes a content extraction engine comprising at least one processor and configured to receive a content page including first product data for a target product, remove noise content from the content page, thereby generating a remainder content page, compare the remainder content page to a first synonym list to identify the first product data, the first synonym list including a first data field name, and provide the first product data as associated with the first data field name.

Abstract: A system includes a content extraction engine comprising at least one processor and configured to receive a content page including first product data for a target product, remove noise content from the content page, thereby generating a remainder content page, compare the remainder content page to a first synonym list to identify the first product data, the first synonym list including a first data field name, and provide the first product data as associated with the first data field name.

Abstract: A system includes a content extraction engine comprising at least one processor and configured to receive a content page including first product data for a target product, remove noise content from the content page, thereby generating a remainder content page, compare the remainder content page to a first synonym list to identify the first product data, the first synonym list including a first data field name, and provide the first product data as associated with the first data field name.

Abstract: A tool is provided that allows a user to select a portion of a web page that contains both labels and data values for a set of fields. The tool extracts the labels and the data values. The user can start a data extraction process to query from other pages that are similarly-formatted to the first page and extract data from these other pages. The relationship between the labels and the values can be determined by traversing the domain object model (DOM) of the first page. The tool may be integrated into a custom web browser that includes a user interface (UI) element that can be switched on and off. When the UI element is off, selection of text operates as in a normal web browser. When the UI element is switched on, selection of text operates as described above to facilitate the extraction of data.